Daily Tech Digest by Kannan Subbiah: hacking

Showing posts with label hacking. Show all posts

Daily Tech Digest - June 25, 2026

Quote for the day:

“If we are growing, we are always going to be out of our comfort zone.” -- John C. Maxwell

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Duration: 22 mins • Perfect for listening on the go.

When IT loses sight of enterprise low-code

When information technology departments lose oversight of low code development, organizations often face significant operational risks. Low code platforms are designed to let everyday employees build applications quickly, which can improve efficiency and solve immediate business problems. However, without proper technical supervision, this newfound freedom can lead to a heavily fragmented digital environment. Employees might create software that handles sensitive data without following standard security protocols, exposing the company to serious breaches and costly compliance failures. Furthermore, these independently built applications often overlap in function, creating unnecessary complexity and increasing ongoing maintenance costs. When employees eventually leave the company, the specialized tools they built can easily become unsupported and difficult to fix, leaving critical business processes vulnerable to disruption. To effectively manage these persistent challenges, technical teams must maintain a strong guiding role in all low code initiatives. By establishing clear rules and providing structured, reliable support, IT can help employees build useful tools safely. This collaborative approach ensures that new applications integrate smoothly with existing systems and adhere strictly to company standards. Ultimately, balancing employee autonomy with technical oversight allows businesses to benefit from faster software creation without compromising their security, stability, or long term operational health.

Hacking the Simulation: The Anti-Gravity Exploit

The article outlines a theoretical framework and engineering approach known as Observer-Patch Holography, which treats the physical world as a highly structured, interactive system rather than a static container. According to this framework, fundamental elements like space, time, and gravity are not absolute background features but emergent properties that arise from the consistency between different observational perspectives. By understanding the underlying mechanics of this shared reality, the author argues that it is possible to interact with the universe much like a hardware program. The core thesis is that reality can be directly manipulated by exerting control over small, bounded physical areas called patches. Engineers could theoretically use specialized devices to adjust boundary data and stabilize these patches into desired states. This process allows them to effectively rewrite the local rules of physics by managing how information and observations synchronize. Specifically, the engineering note proposes that this method of hacking reality provides a practical, low-cost pathway for achieving localized control over gravity and inertia. By manipulating the consensus of information at a micro-level, engineers could produce macroscopic effects, potentially paving the way for advanced technologies like hoverboards and hoverbikes.

Choosing your AI stack: The benefits of vendor lock-in

In the past, IT departments could easily mix and match different hardware and software, but modern artificial intelligence systems require a different approach. Because AI demands immense computing power, technology providers now build hardware and software that work strictly together to maximize efficiency. This tight integration means organizations must commit to complete ecosystems rather than choosing individual components, leading to a modern form of vendor lock-in. While switching platforms might seem simple on paper, it brings serious hidden costs, including wasted engineering effort, deep system dependencies, and poor timing during critical growth phases. As a result, IT leaders need to shift their perspective. Instead of viewing vendor lock-in as a failure to avoid at all costs, they should see it as a strategic choice that can deliver a crucial performance advantage. The most effective organizations understand that openness is not always better than lock-in. They treat platform commitment as a dynamic issue, weighing where raw performance matters most against where flexibility is needed. True leaders do not run from vendor lock-in; they carefully decide when to embrace it, limit it, or move past it before market pressures force their hand.

Why CIOs should be prioritising stability as the foundation for transformation

As local governments face significant structural changes and reorganizations, chief information officers often feel pressured to use the opportunity for immediate, widespread digital overhauls. However, this approach can be risky. The real priority during these transitions must be operational stability. When a new authority takes over, residents expect basic services, like trash collection and benefit processing, to continue working exactly as they did before. Managing technology in local government is already complicated by older systems and disjointed applications. Merging these environments adds another layer of difficulty. Instead of rushing to rebuild every system or process right away, technology leaders should focus on keeping current operations running smoothly. A practical first step is to map out how services actually function today, identifying where delays or manual tasks exist. This clear understanding allows teams to stabilize the foundation and maintain service continuity. By prioritizing resilience and control, councils can reduce the risk of service failures during the transition. Once the foundational systems are secure and the new organizational structure is clear, leaders will have the breathing room needed to implement thoughtful, long-term improvements. Success comes from stabilizing first, then changing at a measured pace.

Cybersecurity is no longer about protection. It’s about survival

Cybersecurity strategy must evolve from a mindset of pure prevention to one focused on organizational survival. While traditional defenses like firewalls, multi-factor authentication, and patching remain necessary, relying solely on keeping attackers out is no longer a realistic strategy in an era where breaches are inevitable. The rapid advancement of artificial intelligence and the increasing complexity of supply chains have dramatically expanded the attack surface, meaning defenses will eventually fail. Therefore, the core objective of modern security is to ensure an organization can continue to function during and after an attack. This shift requires a deep commitment to resilience, business continuity, and rapid recoverability. True security means knowing precisely which systems are critical, isolating the impact of a breach, and having a tested plan to rebuild cleanly. Furthermore, this survival approach cannot be confined to the IT department. It demands active involvement and clear accountability from the board, executive leadership, legal, engineering, and human resources. Ultimately, an organization that collapses the moment its protective walls are breached was never truly secure. Success is now defined by the ability to absorb systemic shocks and recover quickly.

The uptime questions every engineering leader should ask this week

In a recent interview, Mattias Geniar, CTO at Oh Dear, discusses practical strategies for preventing system outages and improving uptime. He observes that engineering teams often monitor isolated metrics and absolute numbers, which leads to alert fatigue and unnecessary middle-of-the-night wake-up calls. Instead, he advises monitoring actual user outcomes—such as the ability to log in or complete a purchase—and establishing baselines to detect meaningful changes over time. Geniar highlights that while front-facing issues are easily tracked, sudden outages frequently stem from unmonitored internal DNS misconfigurations and expired TLS certificates buried deep within complex systems. To manage reliance on third-party vendors, he recommends developing clear failover alternatives to contain the impact of external failures. He cautions that tired engineers are highly prone to making mistakes during late-night incident responses. To mitigate this risk, recovery processes must be thoroughly tested until they become entirely routine and predictable. Finally, Geniar urges leaders to ask their teams direct questions to uncover hidden vulnerabilities. This includes identifying the most fragile infrastructure, ensuring backups are fully tested by actually restoring them, confirming that monitoring catches errors before customers do, and removing dependencies on a single indispensable team member.

Bridging the Divide: How Data Centers Are Addressing Community Concerns

As the development of data centers accelerates to unprecedented scales, developers are facing increased scrutiny from local municipalities and residents. Communities are raising valid concerns regarding the substantial impact these facilities have on power grids, water resources, and local infrastructure. In an era of high inflation and rising utility bills, residents are particularly skeptical of tech companies receiving large tax incentives while household expenses continue to climb. Recognizing these tensions, industry leaders are acknowledging that their traditional approach of operating quietly behind the scenes is no longer effective. Instead, they must proactively engage with the public to dispel misinformation and highlight the tangible benefits these facilities offer, such as high-paying union jobs, infrastructure improvements, and increased tax revenues. However, developers also point to significant challenges, including slow permitting processes and outdated zoning laws that struggle to accommodate modern, large-scale projects. Moving forward, overcoming this divide will require a coordinated effort. Developers, policymakers, and government entities at all levels must collaborate to create cohesive regulations, streamline development processes, and ensure that new projects deliver clear, measurable value to the communities that host them.

AI security doesn’t require a brand-new architecture

The rapid adoption of artificial intelligence brings new security challenges, from rogue applications to invisible software agents, but keeping your organization safe does not require building a completely new architecture. Instead of looking for magical fixes, security experts suggest returning to core fundamentals like granting minimal access and designing systems securely from the start. Rather than blocking AI adoption out of fear, companies can build on their existing tools to detect threats and manage access rights in real time. Because attackers now use automation to find network flaws instantly, defenders must also use artificial intelligence to quickly identify and isolate vulnerabilities before permanent patches are ready. At the same time, internal policy approval needs to speed up; waiting several weeks for permission is simply no longer practical. By writing policies directly into the system code, organizations can safely match the pace of modern technology. Employee education also remains vital, requiring clear guidelines on how to interact with new tools responsibly. Finally, keeping costs manageable is a critical part of a safe deployment. By using existing platforms and combining cloud resources with local hardware, companies can effectively protect both their data and their budgets.

Beyond CLEAN and MVP: Architecting an Offline-first Reactive Data Layer in Android

The provided article introduces the Reactive Data Layer Architecture (RDLA), a practical approach designed to improve data management in Android applications. Traditional structures, such as Model-View-Presenter and Clean Architecture, often create unnecessary complexity or struggle with the continuous updates required by modern mobile interfaces. RDLA addresses these challenges by establishing the local device storage as the single, reliable source of truth. Instead of forcing the user interface to request data repeatedly, RDLA uses a continuous stream that automatically pushes updates to the screen whenever the underlying data changes. This design is particularly useful for applications that must function without an internet connection, such as health tracking tools. When a user makes a change, the application instantly updates the local interface while silently scheduling the network synchronization in the background. By relying on tools built into the Android system, these background tasks are guaranteed to finish even if the user closes the app. Furthermore, RDLA simplifies the testing process. It separates the database and network configurations, allowing engineers to verify their core logic without relying on fragile mock setups. Ultimately, this architecture provides a more reliable foundation for complex mobile applications.

Agentic AI Security: Wrong Context, Wrong Decisions at Machine Speed

The effectiveness of automated artificial intelligence in cybersecurity fundamentally depends on the quality of its context. While organizations are looking to these advanced systems to manage the rapid volume of modern threats, these tools can only make accurate decisions if they possess a complete and updated view of the environment. When fed incomplete or inaccurate data, the artificial intelligence will make incorrect decisions at machine speed, carrying out flawed actions with unwavering confidence. Security leaders caution that any automation system lacking verified context is simply a faster way to make widespread mistakes. For instance, an automated security operations center might shut down a critical device to isolate a threat, completely unaware of the disastrous business impact because it lacked the broader operational context. Given these significant risks, experts suggest that artificial intelligence is not yet mature enough for fully independent action. Instead of allowing the system to execute automated responses, the current best practice involves using it to quickly gather relevant context across various security tools and provide clear, reasoned recommendations. Ultimately, human experts must remain in the loop to make final decisions until context gathering methods become significantly more reliable over time.

Daily Tech Digest - June 18, 2026

Quote for the day:

“The most important thing in communication is hearing what isn’t said.” -- Peter F. Drucker

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Duration: 21 mins • Perfect for listening on the go.

Why Account Takeovers Are Rising and How to Stop Them

Account takeovers are increasing because organizations now manage thousands of identities across complex hybrid, cloud, and remote work environments. Instead of attacking infrastructure, cybercriminals are targeting the authentication process itself, finding it much faster and quieter. While multifactor authentication remains important, attackers have adapted by using prompt bombing to exhaust users into approving access, or by stealing session tokens to bypass logins entirely. Additionally, phishing campaigns have become harder to spot, often using legitimate hosting services to trick even cautious employees into giving up their credentials. Another major vulnerability stems from employees using unmanaged personal devices to access corporate networks. Malware on these devices can easily harvest passwords and session cookies. Because traditional security tools often treat a successful login as complete proof of trust, these compromised devices easily slip through the cracks. To stop modern account takeovers, organizations must move beyond simply checking usernames and passwords at the door. They need continuous verification systems that assess device health and monitor session risks throughout the entire access lifecycle. By verifying that a device is genuinely safe and updated before and during a session, companies can effectively block unauthorized access.

Securing digital keys when your phone unlocks the car

Alysia Johnson, President of the Car Connectivity Consortium (CCC), outlines the evolution of the CCC Digital Key from a brand-specific convenience to a standardized, multi-vendor credential. This transition shifts the security model from implicit trust within a single company's hardware to a system demanding verifiable trust across a diverse ecosystem. To address this, the CCC relies on standardized certification, secure elements, and interoperable protocols. Version 4 of the standard focuses on improving interoperability, validation, and consistent behavior across various devices and vehicles, rather than addressing a new specific threat, building upon the high security baseline established in Version 3. NFC, often a fallback when batteries die, is not a weak link. It requires close proximity and explicit user action, maintaining the same security principles as the broader architecture. The system supports swift credential revocation if a device is lost or compromised, synchronizing across the ecosystem and utilizing cryptographic challenge-response mechanisms to prevent replay attacks. Recognizing the long lifespan of vehicles, the CCC designed the standard with crypto-agility, allowing algorithms to evolve as needed. Post-quantum migration is also an active topic within the consortium to ensure long-term security.

5 things CIOs must do as sovereignty becomes a design constraint

As global tensions rise and regulations increase, businesses can no longer assume that location does not matter. Geography has become a strict requirement, forcing technology leaders to rethink where they place their data and systems. First, companies must treat physical location as a fundamental technical decision, moving away from relying entirely on a single global provider. Instead, they should adopt a more practical approach. Second, businesses need to design their systems for deep resilience rather than pure efficiency, reducing the risk of relying too heavily on any single vendor by actively diversifying their technology setup. Third, it is essential to sort applications and data based on their specific risk levels. While most data can safely remain in public platforms, highly sensitive information requires secure, localized storage. Fourth, companies must build their systems with the ongoing flexibility to move applications easily if global or regulatory conditions change, avoiding rigid vendor contracts. Finally, the concept of secure access must extend beyond the data center to remote workers, focusing on identity verification rather than just basic device security. Ultimately, managing technology is now about balancing long-term risks instead of simply hunting for the absolute lowest costs.

Security Community Slams US Ban on Exporting Mythos, Fable

The cybersecurity community is strongly criticizing the United States government’s decision to ban the export of Anthropic’s new artificial intelligence models, Claude Fable 5 and Mythos 5, to foreign nationals. The government enacted this ban over national security concerns, citing the models' potential ability to find and exploit software vulnerabilities. This action was allegedly prompted by a reported method to bypass the software's safety limits. In response, dozens of prominent security experts have signed an open letter urging the government to reverse the restriction. They argue that blocking access to these advanced tools actively harms the nation's digital defenses by preventing security teams from finding and fixing vulnerabilities before attackers do. Furthermore, industry leaders point out that the ban will do very little to actually stop foreign adversaries or cybercriminals. Adversary nations like China and various financially motivated attackers already possess equivalent technological capabilities, either through available public alternatives or their own undisclosed research. Ultimately, experts believe that restricting these tools based on fear or an incomplete understanding of the technology leaves network defenders at a significant disadvantage, while completely failing to meaningfully impede the malicious actors the ban intends to target.

20 principles of good management that most managers don't practice

Many managers fail not from a lack of knowledge, but from an inability to consistently apply foundational management principles under pressure. Organizations frequently promote individuals based on their technical skills rather than their leadership capabilities, leading to entirely predictable workplace dysfunction. Genuinely effective management relies on disciplined habits rather than innate talent. The core principles involve straightforward but consistently neglected daily practices. First, effective leaders provide prompt, relevant feedback rather than waiting for formal annual reviews, ensuring guidance feels like support rather than judgment. Second, they ask questions instead of merely issuing answers, training their teams to think critically and solve complex problems independently. Third, they distribute decision-making authority to those closest to the actual work, taking the time to explain their reasoning to cultivate better future judgment among the staff. Fourth, they set explicit expectations to eliminate confusion and establish shared accountability, allowing employees to operate with clear direction. Finally, they actively protect their team's time and attention by minimizing unnecessary meetings and establishing communication norms that allow for deep, focused work. Ultimately, management succeeds through steady commitment to these basic practices, fostering genuine trust and autonomy.

Observability Is the New Control Plane for Enterprise Transformation

As businesses adopt increasingly complex technologies like cloud environments and artificial intelligence, they face a critical challenge: understanding how these interconnected systems actually perform. Many leaders lack the clear data needed to make informed decisions about their technology investments, leading to a significant gap between what they build and what they can effectively manage. Traditional tracking methods were built for simpler setups and simply cannot handle today's scattered and unpredictable systems. Operating without clear visibility carries steep costs. When technology fails, companies lose money for every hour an outage lasts. Engineering teams waste valuable time trying to piece together information from disconnected tools instead of fixing the root problem. Beyond immediate downtime, this lack of shared information creates a hidden tax on the entire organization, slowing down operations and complicating incident reviews. However, companies that adopt a unified approach to monitoring their technology see reliable benefits. By bringing all their system data into a single cohesive view, organizations can steadily reduce the financial impact of outages and achieve clear returns on their investment, proving that true success lies in fully understanding their technology rather than just deploying more of it.

Before enabling embedded AI, Indian enterprises need vendor model disclosure

The article discusses the crucial need for transparency as Indian enterprises increasingly adopt software tools with embedded artificial intelligence. While these built-in AI features promise enhanced productivity, they also introduce significant challenges regarding data privacy, security, and ethical governance. To manage these risks effectively, companies must demand comprehensive disclosure from their technology vendors. This transparency should clearly outline how the underlying models are trained, what kinds of data they process, and how user privacy is maintained. Without this information, enterprises face the danger of intellectual property leaks, compliance violations, and unintended algorithmic biases. The piece highlights that true accountability cannot be achieved in a vacuum; instead, it requires collaborative standards between software developers and corporate users. By establishing clear model disclosures, Indian businesses can safely deploy automated systems while maintaining a strong ethical foundation and protecting proprietary information. Ultimately, the author advises decision-makers to move beyond the initial excitement of automation and instead focus on establishing rigorous verification protocols before fully integrating these tools into their core workflows.

AI's Catastrophic Risk Isn't Rogue Machines, It's Cognitive Surrender

The real danger of artificial intelligence may not be the science-fiction nightmare of rogue machines turning against us, but rather a subtle, internal shift toward "cognitive surrender." As AI tools increasingly handle our analysis, coding, and writing, they dismantle the traditional incentives for learning and mastery. When individuals can generate competent work in seconds, the long-term process of building skills—once a foundation for personal identity and professional pride—starts to feel unnecessary or even futile. This trend is worsened by a broader sense of economic insecurity among younger generations, who are already losing faith in the traditional "work hard to succeed" narrative. Because the future feels increasingly unstable and inaccessible, many are tempted to bypass the friction of deep thought, choosing instead to outsource their deliberation to AI. This constant reliance on artificial intelligence threatens to weaken our capacity for sustained, independent reasoning. Ultimately, the challenge is not just that we might be replaced by machines, but that we may voluntarily abandon the effort and struggle required to develop our own expertise. Even if AI can perform tasks, it cannot replicate the uniquely human satisfaction found in the process of creating something through genuine personal effort.

AI is eroding trust. Accounting and finance professionals can rebuild it

Accounting and finance professionals are currently facing a significant decline in industry confidence. While economic and global pressures play a part, the rapid adoption of artificial intelligence has emerged as a primary concern. Many professionals worry that new software is being implemented too quickly without the necessary plans or controls. There are also valid concerns about the quality of the technology's output, as minor automation errors can easily multiply, leading to major reporting mistakes and basic compliance issues. Ultimately, this creates a widespread loss of trust in financial data and related decisions. To rebuild this trust, finance professionals must step in to bridge the gap between software systems and human oversight. Rather than simply learning the technical details of the software, accountants need to focus on practical uses like forecasting and managing risk. It is essential for professionals to act as leaders in compliance, learning how to identify biases, correct mistakes, and oversee these new systems effectively. By combining the speed of the technology with dependable human analysis, teams can deliver accurate recommendations. Developing these skills through targeted training programs will ensure professionals remain effective and can responsibly guide their teams forward.

The Technology Trend Hiding in Plain Sight: Why Businesses Are Rediscovering the Power of Constraints

For decades, technological progress has been defined by abundance, offering companies an ever-expanding array of choices, data, and computing power. However, this limitless possibility has created new challenges. Many businesses now find themselves overwhelmed by options, making decision-making difficult and diluting their focus. In response, organizations are quietly rediscovering the strategic value of constraints. Rather than viewing limitations as obstacles, leaders are realizing that boundaries actually drive better outcomes. Constraints force companies to prioritize what truly matters, clarify their objectives, and distinguish between what is merely possible and what is genuinely essential. In a highly complex environment, the simple ability to focus is becoming a significant competitive advantage. Limits help organizations simplify their daily operations, manage data more effectively, and introduce new systems at a pace that employees can comfortably absorb. Trust itself relies on clear boundaries and solid governance. As companies mature in their technology use, they are shifting away from adopting every new advancement and instead optimizing the systems that deliver the most value. Ultimately, success no longer relies on having access to endless resources, but on having the discipline to know exactly what to leave out.

Daily Tech Digest - March 21, 2026

Quote for the day:

"Management is about arranging and telling. Leadership is about nurturing and enhancing." -- Tom Peters

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Duration: 22 mins • Perfect for listening on the go.

Three ways AI is learning to understand the physical world

The VentureBeat article "Three ways AI is learning to understand the physical world" explores how researchers are overcoming the physical reasoning limitations of large language models through "." While LLMs excel at abstract knowledge, they lack grounding in causality, prompting a shift toward three distinct architectural approaches to simulate the real world. The first, Joint Embedding Predictive Architecture (JEPA), mimics human cognition by learning abstract latent features, ignoring irrelevant pixels to achieve the high efficiency required for real-time robotics. The second approach utilizes Gaussian splats to generate detailed 3D spatial environments from prompts, allowing AI agents to interact within standard physics engines like Unreal Engine. Finally, end-to-end generative models, such as DeepMind’s Genie 3 and Nvidia’s Cosmos, act as native physics engines by continuously generating frames and physical dynamics on the fly. This third method is particularly vital for creating massive synthetic data factories to safely train autonomous systems in complex edge cases. Ultimately, the analysis suggests a future defined by hybrid architectures, where LLMs provide the reasoning interface while world models serve as the foundational infrastructure for spatial data, enabling AI to move beyond digital browsers and into physical spaces.

Field workers don’t need more access, they need better security

In this interview, Chris Thompson, CISO at , outlines the evolving landscape of cybersecurity for field-based workforces. He emphasizes that the principle of least privilege should be applied consistently across all roles, dismissing the notion that field workers require broader access for convenience. A significant shift involves replacing antiquated, shared generic accounts with individual credentials secured by robust multifactor authentication, reflecting a modern standard where security is never sacrificed for speed. Thompson details how West Shore Home manages sensitive customer data through continuous risk assessments and bi-monthly executive reviews, ensuring mitigation strategies remain agile rather than stuck in traditional annual cycles. Addressing the logistical hurdles of training, he advocates for integrating security awareness into daily "toolbox talks" at warehouses, which proves more effective than email-based modules for employees on the move. By aligning security protocols with the technology field teams use daily, the organization fosters a unified culture where every worker understands their role in the broader security posture. Ultimately, Thompson argues that field workers do not need expanded access; they require more sophisticated, integrated security measures that support their unique operational environment without introducing unnecessary risk to the enterprise.

6 innovation curves are rewriting enterprise IT strategy

The article "6 innovation curves are rewriting enterprise IT strategy" highlights a fundamental shift from sequential technology updates to managing multiple, overlapping waves of digital transformation. These six innovation curves include transitioning from traditional software to systems of autonomous collaborators, adopting that embed machine learning into their core architecture, and treating enterprise memory as a queryable knowledge layer for real-time decision-making. Additionally, IT leaders must redesign human-machine interactions to enhance productivity, establish robust governance for trust and integrity in a world of synthetic data, and utilize virtual simulations to de-risk experimentation. The author emphasizes that these curves are deeply interdependent; for example, autonomous agents require high-quality memory layers to function effectively, while simulation environments provide the necessary testing grounds for AI-native interactions. To succeed, organizations must move beyond linear management models and instead develop an integrated strategy that orchestrates these curves concurrently. By focusing on areas like "AgentOps" and persistent data layers, businesses can build a resilient digital architecture capable of absorbing continuous disruption while maintaining operational priorities, effectively redefining how enterprises create value and manage risk in an AI-driven landscape.

Credential theft compounded in 2025, says new data from Recorded Future

Recorded Future’s 2025 Identity Threat Landscape Report reveals that credential theft has become the primary initial access vector for enterprise security breaches, characterized by a staggering escalation throughout the year. Data indicates that credential indexing surged by 90 percent in the final quarter compared to the first, with a significant majority of these attacks specifically targeting authentication systems to maximize unauthorized access. A particularly alarming trend is the proliferation of , which harvested 276 million credentials containing active session cookies. These cookies enable cybercriminals to bypass multi-factor authentication entirely, rendering traditional security measures increasingly insufficient. The report underscores that a single compromised endpoint can jeopardize an entire organization, as the average infected device now yields approximately 87 distinct stolen credentials across various corporate and personal platforms. Consequently, industry experts advocate for a transition toward "verified trust" models, which emphasize continuous, contextual identity verification using biometrics and passkeys. Despite the escalating risk, research from IDC and Ping Identity suggests that only nine percent of organizations have successfully operationalized these advanced safeguards at scale, highlighting a critical maturity gap in global digital infrastructure and a pressing need for board-level prioritization of identity security.

Configuration as a Control Plane: Designing for Safety and Reliability at Scale

The InfoQ article "Configuration as a Control Plane" explores the evolution of configuration from static deployment files into a dynamic, live control plane that actively shapes system behavior. In modern cloud-native architectures, configuration changes often move faster and impact more systems than application code, making them a primary driver of large-scale reliability incidents. Consequently, configuration management is transitioning from traditional agent-based convergence toward continuously reconciled, policy-enforced systems. The article emphasizes treating configuration as a high-leverage reliability discipline rather than a mere operational task. Key strategies discussed include using strongly typed, schema-validated configurations and policy engines like Open Policy Agent (OPA) to enforce guardrails before and during rollouts. By adopting practices such as staged regional rollouts, canary deployments, and automated diff analysis, organizations can ensure that configuration correctness is a systemic property rather than a manual checklist. Looking ahead, the integration of AI-driven risk assessment and unified configuration APIs promises to further enhance safety and resilience. Ultimately, this shift enables infrastructure to become more self-healing and predictable, allowing teams to manage complex, ephemeral workloads at scale while minimizing the risk of catastrophic human error or cascading failures.

10 Million IoT Devices Hacked: Is Yours Next?

The Medium article "10 Million IoT Devices Hacked: Is Yours Next?" explores the alarming rise of , a sophisticated global botnet that has compromised over ten million Internet of Things (IoT) devices. Highlighting a 2025 federal lawsuit by Google, the piece details how seemingly harmless gadgets—such as unbranded streaming boxes, digital picture frames, and car infotainment systems—are being transformed into criminal infrastructure. A critical revelation is that many of these devices are pre-infected with malware during manufacturing, meaning consumers are compromised the moment they connect to Wi-Fi. The vulnerability primarily affects cheap hardware running the Android Open Source Project (AOSP) without Google’s Play Protect certification. To safeguard home networks, the author recommends identifying all connected devices via router admin panels and scanning for red flags like "Seekiny Studio" apps or unusual traffic to foreign IP ranges. Ultimately, the article serves as a stark warning against purchasing low-cost, unverified electronics, urging users to prioritize "purchase hygiene" by sticking to reputable brands with verifiable firmware update histories. By verifying Play Protect status and monitoring for network anomalies, users can better defend their digital privacy against these pervasive, invisible threats.

How CISOs Can Survive the Era of Geopolitical Cyberattacks

In the current era of , Chief Information Security Officers (CISOs) must pivot from traditional perimeter defense to a robust strategy of internal containment. Geopolitical attacks, exemplified by Iranian wiper campaigns like the Handala group’s strike on Stryker, differ from standard ransomware because they prioritize operational chaos and destruction over financial gain. To survive these threats, the article outlines a vital five-step playbook centered on limiting lateral movement. First, CISOs should implement identity-aware access controls to prevent compromised credentials from granting broad network access. Second, they must enforce default-deny policies on administrative ports to block common pivot points. Third, restricting privileged accounts through role-based segmentation is essential to reduce the potential blast radius of a breach. Fourth, organizations need deep visibility into internal traffic to detect covert tunnels and unauthorized connection paths. Finally, implementing automated isolation capabilities ensures that destructive activity is contained before it can spread across the entire infrastructure. Ultimately, the transition to a self-defending network that focuses on stopping an attacker’s mobility rather than just their entry is crucial. By treating internal connectivity as a primary risk factor, CISOs can ensure their organizations remain operational despite increasingly sophisticated, state-sponsored cyber disruptions.

Building A Sustainable Hustle Culture

In "Building A Sustainable Hustle Culture," Greg Dolan, CEO of Keen Decision Systems, critiques the traditional "work hard, play hard" model for its tendency to cause burnout and employee dissatisfaction. Instead, he advocates for a reimagined "smart hustle" that prioritizes work-life integration and mental well-being over relentless overwork. Central to this approach is the implementation of a , which Dolan argues allows for the deep rest necessary for high performance. By establishing clear temporal constraints, employees are encouraged to maximize their focus during work hours while fully disconnecting during their time off. This period of rest often serves as a catalyst for innovation, as personal interactions and downtime can unlock fresh professional insights. Despite the fact that only 22% of American employers have adopted this schedule, Dolan highlights research showing that 98% of employees feel significantly more motivated under such a model. Ultimately, the article suggests that sustainable success is achieved not through endless hours, but by valuing employee autonomy and recognizing that a refreshed workforce is inherently more productive and creative, transforming the very definition of professional ambition and organizational health in the modern era.

5 Production Scaling Challenges for Agentic AI in 2026

In the article "5 Production Scaling Challenges for Agentic AI in 2026," Nahla Davies examines the significant hurdles organizations face when moving autonomous systems from prototype to large-scale production. The first major obstacle is orchestration complexity, which grows exponentially in multi-agent environments where coordination overhead often becomes a performance bottleneck. Second, current observability tools remain inadequate for tracing the non-deterministic, multi-step decision paths inherent in agentic workflows, making debugging a profound challenge. Third, cost management is increasingly difficult as autonomous loops consume tokens rapidly, with variable execution paths creating high billing unpredictability. Fourth, traditional testing and evaluation methods are insufficient for probabilistic systems; teams must instead develop advanced simulation environments or "LLM-as-a-judge" pipelines to ensure reliability. Finally, the rapid deployment of agentic capabilities has outpaced governance and safety frameworks. Implementing robust guardrails is essential to prevent harmful real-world actions—such as unauthorized transactions or database modifications—without stifling the agent’s practical utility. Ultimately, the analysis highlights that while is transformative, bridging the production gap requires solving these foundational infrastructure and safety problems to move beyond "pilot purgatory" into meaningful, scaled operations.

Building trust in the future of quantum computing

The article "The Future of Quantum," published on Phys.org in March 2026, outlines a pivotal transition in quantum science from experimental demonstrations to "utility-scale" industrial applications. As the field marks the centennial of quantum mechanics, researchers are shifting focus from simply increasing qubit counts to enhancing system reliability through advanced error-mitigation and standardized benchmarking. A central theme is "building trust," which involves creating transparent performance metrics that allow industries to transition from classical to quantum-enhanced workflows in sectors like drug discovery, sustainable material design, and financial modeling. Significant breakthroughs highlighted include the development of diamond-based quantum internet nodes and the emergence of "" that exhibit faster charging at larger scales. Additionally, the analysis emphasizes the geopolitical dimension, noting substantial national investments aimed at securing sovereign quantum capabilities for national security and economic resilience. Ultimately, the piece argues that the "second quantum revolution" is now defined by the convergence of hardware stability and sophisticated software stacks, effectively turning the strange properties of entanglement and superposition into dependable tools for global digital infrastructure and solving previously intractable computational challenges.

Daily Tech Digest - February 13, 2026

Quote for the day:

"If you want teams to succeed, set them up for success—don’t just demand it." -- Gordon Tredgold

Hackers turn bossware against the bosses

Huntress discovered two incidents using this tactic, one late in January and one early this month. Shared infrastructure, overlapping indicators of compromise, and consistent tradecraft across both cases make Huntress strongly believe a single threat actor or group was behind this activity. ... CSOs must ensure that these risks are properly catalogued and mitigated,” he said. “Any actions performed by these agents must be monitored and, if possible, restricted. The abuse of these systems is a special case of ‘living off the land’ attacks. The attacker attempts to abuse valid existing software to perform malicious actions. This abuse is often difficult to detect.” ... Huntress analyst Pham said to defend against attacks combining Net Monitor for Employees Professional and SimpleHelp, infosec pros should inventory all applications so unapproved installations can be detected. Legitimate apps should be protected with robust identity and access management solutions, including multi-factor authentication. Net Monitor for Employees should only be installed on endpoints that don’t have full access privileges to sensitive data or critical servers, she added, because it has the ability to run commands and control systems. She also noted that Huntress sees a lot of rogue remote management tools on its customers’ IT networks, many of which have been installed by unwitting employees clicking on phishing emails. This points to the importance of security awareness training, she said.

Why secure OT protocols still struggle to catch on

“Simply having ‘secure’ protocol options is not enough if those options remain too costly, complex, or fragile for operators to adopt at scale,” Saunders said. “We need protections that work within real-world constraints, because if security is too complex or disruptive, it simply won’t be implemented.” ... Security features that require complex workflows, extra licensing, or new infrastructure often lose out to simpler compensating controls. Operators interviewed said they want the benefits of authentication and integrity checks, particularly message signing, since it prevents spoofing and unauthorized command execution. ... Researchers identified cost as a primary barrier to adoption. Operators reported that upgrading a component to support secure communications can cost as much as the original component, with additional licensing fees in some cases. Costs also include hardware upgrades for cryptographic workloads, training staff, integrating certificate management, and supporting compliance requirements. Operators frequently compared secure protocol deployment costs with segmentation and continuous monitoring tools, which they viewed as more predictable and easier to justify. ... CISA’s recommendations emphasize phased approaches and operational realism. Owners and operators are advised to sign OT communications broadly, apply encryption where needed for sensitive data such as passwords and key exchanges, and prioritize secure communication on remote access paths and firmware uploads.

SaaS isn’t dead, the market is just becoming more hybrid

“It’s important to avoid overgeneralizing ‘SaaS,’” Odusote emphasized . “Dev tools, cybersecurity, productivity platforms, and industry-specific systems will not all move at the same pace. Buyers should avoid one-size-fits-all assumptions about disruption.” For buyers, this shift signals a more capability-driven, outcomes-focused procurement era. Instead of buying discrete tools with fixed feature sets, they’ll increasingly be able to evaluate and compare platforms that are able to orchestrate agents, adapt workflows, and deliver business outcomes with minimal human intervention. ... Buyers will likely have increased leverage in certain segments due to competitive pressure among new and established providers, Odusote said. New entrants often come with more flexible pricing, which obviously is an attraction for those looking to control costs or prove ROI. At the same time, traditional SaaS leaders are likely to retain strong positions in mission-critical systems; they will defend pricing through bundled AI enhancements, he said. So, in the short term, buyers can expect broader choice and negotiation leverage. “Vendors can no longer show up with automatic annual price increases without delivering clear incremental value,” Odusote pointed out. “Buyers are scrutinizing AI add-ons and agent pricing far more closely.”

When algorithms turn against us: AI in the hands of cybercriminals

Cybercriminals are using AI to create sophisticated phishing emails. These emails are able to adapt the tone, language, and reference to the person receiving it based on the information that is publicly available about them. By using AI to remove the red flag of poor grammar from phishing emails, cybercriminals will be able to increase the success rate and speed with which the stolen data is exploited. ... An important consideration in the arena of cyber security (besides technical security) is the psychological manipulation of users. Once visual and audio “cues” can no longer be trusted, there will be an erosion of the digital trust pillar. The once-recognizable verification process is now transforming into multi-layered authentication which expands the amount of time it takes to verify a decision in a high-pressure environment. ... AI’s misuse is a growing problem that has created a paradox. Innovation cannot stop (nor should it), and AI is helping move healthcare, finance, government and education forward. However, the rate at which AI has been adopted has surpassed the creation of frameworks and/or regulations related to ethics or security. As a result, cyber security needs to transition from a reactive to a predictive stance. AI must be used to not only react to attacks, but also anticipate future attacks.

Those 'Summarize With AI' Buttons May Be Lying to You

Put simply, when a user visits a rigged website and clicks a "Summarize With AI" button on a blog post, they may unknowingly trigger a hidden instruction embedded in the link. That instruction automatically inserts a specially crafted request into the AI tool before the user even types anything. ... The threat is not merely theoretical. According to Microsoft, over a 60-day period, it observed 50 unique instances of prompt-based AI memory poisoning attempts for promotional purposes. ... AI recommendation poisoning is a sort of drive-by technique with one-click interaction, he notes. "The button will take the user — after the click — to the AI domain relevant and specific for one of the AI assistants targeted," Ganacharya says. To broaden the scope, an attacker could simply generate multiple buttons that prompt users to "summarize" something using the AI agent of their choice, he adds. ... Microsoft had some advice for threat hunting teams. Organizations can detect if they have been affected by hunting for links pointing to AI assistant domains and containing prompts with certain keywords like "remember," "trusted source," "in future conversations," and "authoritative source." The company's advisory also listed several threat hunting queries that enterprise security teams can use to detect AI recommendation poisoning URLs in emails and Microsoft Teams Messages, and to identify users who might have clicked on AI recommendation poisoning URLs.

EU Privacy Watchdogs Pan Digital Omnibus

The commission presented its so-called "Digital Omnibus" package of legal changes in November, arguing that the bloc's tech rules needed streamlining. ... Some of the tweaks were expected and have been broadly welcomed, such as doing away with obtrusive cookie consent banners in many cases, and making it simpler for companies to notify of data breaches in a way that satisfies the requirements of multiple laws in one go. But digital rights and consumer advocates are reacting furiously to an unexpected proposal for modifying the General Data Protection Regulation. ... "Simplification is essential to cut red tape and strengthen EU competitiveness - but not at the expense of fundamental rights," said EDPB chair Anu Talus in the statement. "We strongly urge the co-legislators not to adopt the proposed changes in the definition of personal data, as they risk significantly weakening individual data protection." ... Another notable element of the Digital Omnibus is the proposal to raise the threshold for notifying all personal data breaches to supervisory authorities. As the GDPR currently stands, organizations must notify a data protection authority within 72 hours of becoming aware of the breach. If amended as the commission proposes, the obligation would only apply to breaches that are "likely to result in a high risk" to the affected people's rights - the same threshold that applies to the duty to notify breaches to the affected data subjects themselves - and the notification deadline would be extended to 96 hours.

The Art of the Comeback: Why Post-Incident Communication is a Secret Weapon

Although technical resolutions may address the immediate cause of an outage, effective communication is essential in managing customer impact and shaping public perception—often influencing stakeholders’ views more strongly than the issue itself. Within fintech, a company's reputation is not built solely on product features or interface design, but rather on the perceived security of critical assets such as life savings, retirement funds, or business payrolls. In this high-stakes environment, even brief outages or minor data breaches are perceived by clients as threats to their financial security. ... While the natural instinct during a crisis (like a cyber breach or operational failure) is to remain silent to avoid liability, silence actually amplifies damage. In the first 48 hours, what is said—or not said—often determines how a business is remembered. Post-incident communication (PIC) is the bridge between panic and peace of mind. Done poorly, it looks like corporate double-speak. Done well, it demonstrates a level of maturity and transparency that your competitors might lack. ... H2H communication acknowledges the user’s frustration rather than just providing a technical error code. It recognizes the real-world impact on people, not just systems. Admitting mistakes and showing sincere remorse, rather than using defensive, legalistic language, makes a company more relatable and trustworthy. Using natural, conversational language makes the communication feel sincere rather than like an automated, cold response.

Why AI success hinges on knowledge infrastructure and operational discipline

Many organisations assume that if information exists, it is usable for GenAI, but enterprise content is often fragmented, inconsistently structured, poorly contextualised, and not governed for machine consumption. During pilots, this gap is less visible because datasets are curated, but scaling exposes the full complexity of enterprise knowledge. Conflicting versions, missing context, outdated material, and unclear ownership reduce performance and erode confidence, not because models are incapable, but because the knowledge they depend on is unreliable at scale. ... Human-in-the-loop processes struggle to keep pace with scale. Successful deployments treat HITL as a tiered operating structure with explicit thresholds, roles, and escalation paths. Pilot-style broad review collapses under volume; effective systems route only low-confidence or high-risk outputs for human intervention. ... Learning compounds over time as every intervention is captured and fed back into the system, reducing repeated manual review. Operationally, human-in-the-loop teams function within defined governance frameworks, with explicit thresholds, escalation paths, and direct integration into production workflows to ensure consistency at scale. In short, a production-grade human-in-the-loop model is not an extension of BPO but an operating capability combining domain expertise, governance, and system learning to support intelligent systems reliably.

Why short-lived systems need stronger identity governance

Consider the lifecycle of a typical microservice. In its journey from a developer’s laptop to production, it might generate a dozen distinct identities: a GitHub token for the repository, a CI/CD service account for the build, a registry credential to push the container, and multiple runtime roles to access databases, queues and logging services. The problem is not just volume; it is invisibility. When a developer leaves, HR triggers an offboarding process. Their email is cut, their badge stops working. But what about the five service accounts they hardcoded into a deployment script three years ago? ... In reality, test environments are often where attackers go first. It is the path of least resistance. We saw this play out in the Microsoft Midnight Blizzard attack. The attackers did not burn a zero-day exploit to break down the front door; they found a legacy test tenant that nobody was watching closely. ... Our software supply chain is held together by thousands of API keys and secrets. If we continue to rely on long-lived static credentials to glue our pipelines together, we are building on sand. Every static key sitting in a repo—no matter how private you think it is—is a ticking time bomb. It only takes one developer to accidentally commit a .env file or one compromised S3 bucket to expose the keys to the kingdom. ... Paradoxically, by trying to control everything with heavy-handed gates, we end up with less visibility and less control. The goal of modern identity governance shouldn’t be to say “no” more often; it should be to make the secure path the fastest path.

India's E-Rupee Leads the Secure Adoption of CBDCs

India has the e-rupee, which will eventually be used as a legal tender for domestic payments as well as for international transactions and cross-border payments. Ever since RBI launched the e-rupee, or digital rupee, in December 2022, there has been between INR 400 to 500 crore - or $44 to $55 million - in circulation. Many Indian banks are participating in this pilot project. ... Building broad awareness of CBDCs as a secure method for financial transactions is essential. Government and RBI-led awareness campaigns highlighting their security capability can strengthen user confidence and drive higher adoption and transaction volumes. People who have lost money due to QR code scams, fake calls, malicious links and other forms of payment fraud need to feel confident about using CBDCs. IT security companies are also cooperating with RBI to provide data confidentiality, transaction confidentiality and transaction integrity. E-transactions will be secured by hashing, digital signing and [advanced] encryption standards such as AES-192. This can ensure that the transaction data is not tampered with or altered. ... HSMs use advanced encryption techniques to secure transactions and keys. The HSM hardware [boxes] act as cryptographic co-processors and accelerate the encryption and decryption processes to minimize latency in financial transactions.

Daily Tech Digest - January 14, 2026

Quote for the day:

"To accomplish great things, we must not only act, but also dream, not only plan, but also believe." -- Anatole France

Outsmarting Data Center Outage Risks in 2026

Even the most advanced and well-managed facilities are not immune to disruptions. Recent incidents, such as outages at AWS, Cloudflare, and Microsoft Azure, serve as reminders that no data center can guarantee 100% uptime. This highlights the critical importance of taking proactive steps to mitigate data center outage risks, regardless of how reliable your facility appears to be. ... Overheating events can cause servers to shut down, leading to outages. To prevent an outage, you must detect and address excess heat issues proactively, before they become severe enough to trigger failures. A key consideration in this regard is to monitor data center temperatures granularly – meaning that instead of just deploying sensors that track the overall temperature of the server room, you monitor the temperatures of individual racks and servers. This is important because heat can accumulate in small areas, even if it remains normal across the data center. ... But from the perspective of data center uptime, physical security, which protects against physical attacks, is arguably a more important consideration. Whereas cybersecurity attacks typically target only a handful of servers or workloads, physical attacks can easily disable an entire data center. To this end, it’s critical to invest in multi-layered physical security controls – from the data center perimeter through to locks on individual server cabinets – to protect against intrusion. ... To mitigate outage risks, data center operators must take proactive steps to prevent fires from starting in the first place.

Deploying AI agents is not your typical software launch - 7 lessons from the trenches

Across the industry, there is agreement that agents require new considerations beyond what we've become accustomed to in traditional software development. In the process, new lessons are being learned. Industry leaders shared some of their own lessons with ZDNET as they moved forward into an agentic AI future. ... Kale urges AI agent proponents to "grant autonomy in proportion to reversibility, not model confidence. Irreversible actions across multiple domains should always have human oversight, regardless of how confident the system appears." Observability is also key, said Kale. "Being able to see how a decision was reached matters as much as the decision itself." ... "AI works well when it has quality data underneath," said Oleg Danyliuk, CEO at Duanex, a marketing agency that built an agent to automate the validation of leads of visitors to its site. "In our example, in order to understand if the lead is interesting for us, we need to get as much data as we can, and the most complex is to get the social network's data, as it is mostly not accessible to scrape. That's why we had to implement several workarounds and get only the public part of the data." ... "AI agents do not succeed on model capability alone," said Martin Bufi, a principal research director at Info-Tech Research Group. His team designed and developed AI agent systems for enterprise-level functions, including financial analysis, compliance validation, and document processing. What helped these projects succeed was the employment of "AgentOps" (agent operations), which focuses on managing the entire agent lifecycle.

What enterprises think about quantum computing

Quantum computers’ qubits are incredibly fragile, so even setting or reading qubits has to be incredibly precise or it messes everything up. Environmental conditions can also mess things up, because qubits can get entangled with the things around them. Qubits can even leak away in the middle of something. So, here we have a technology that most people don’t understand and that is incredibly finicky, and we’re supposed to bet the business on it? How many enterprises would? None, according to the 352 who commented on the topic. How many think their companies will use it eventually? All of them—but they don’t know where or when, as an old song goes. And by the way, quantum theory is older than that song, and we still don’t have a handle on it. ... First and foremost, this isn’t the technology for general business applications. The quantum geeks emphasize that good quantum applications are where you have some incredibly complex algorithm, some math problem, that is simply not solvable using digital computers. Some suggest that it’s best to think of a quantum computer as a kind of analog computer. ... Even where quantum computing can augment digital, you’ll have to watch ROI according to the second point. The cost of quantum computing is currently prohibitive for most applications, even the stuff it’s good for, so you need find applications that have massive benefits, or think of some “quantum as a service” for solving an occasional complex problem.

Beyond the hype: 4 critical misconceptions derailing enterprise AI adoption

Leaders frequently assume AI adoption is purely technological when it represents a fundamental transformation that requires comprehensive change management, governance redesign and cultural evolution. The readiness illusion obscures human and organizational barriers that determine success. ... Leaders frequently assume AI can address every business challenge and guarantee immediate ROI, when empirical evidence demonstrates that AI delivers measurable value only in targeted, well-defined and precise use cases. This expectation reality gap contributes to pilot paralysis, in which companies undertake numerous AI experiments but struggle to scale any to production. ... Executives frequently claim their enterprise data is already clean or assume that collecting more data will ensure AI success — fundamentally misunderstanding that quality, stewardship and relevance matter exponentially more than raw quantity — and misunderstanding that the definition of clean data changes when AI is introduced. ... AI systems are probabilistic and require continuous lifecycle management. MIT research demonstrates manufacturing firms adopting AI frequently experience J-curve trajectories, where initial productivity declines but is then followed by longer-term gains. This is because AI deployment triggers organizational disruption requiring adjustment periods. Companies failing to anticipate this pattern abandon initiatives prematurely. The fallacy manifests in inadequate deployment management, including planning for model monitoring, retraining, governance and adaptation.

Inside the Growing Problem of Identity Sprawl

For years, identity governance relied on a set of assumptions tied closely to human behavior. Employees joined organizations, moved roles and eventually left. Even when access reviews lagged or controls were imperfect, identities persisted long enough to be corrected. That model no longer reflects reality. The difference between human and machine identities isn't just scale. "With human identities, if people are coming into your organizations as employees, you onboard them. They work, and by the time they leave, you can deprovision them," said Haider Iqbal ... "Organizations are using AI today, whether they know it or not, and most organizations don't even know that it's deployed in their environment," said Morey Haber, chief security advisor at BeyondTrust. That lack of awareness is not limited to AI. Many security teams struggle to maintain a reliable inventory of non-human identities, especially when those identities are created dynamically by automation or cloud services. Visibility gaps don't stop access from being granted, but they do prevent teams from confidently enforcing policy. "Without integration … I don't know what it's doing, and then I got to go figure it out. When you unify together, then you have all the AI visibility," Haber said, describing the operational impact of fragmented tooling. ... Modern enterprise environments rely on elevated access for cloud orchestration, application integration and automated workflows. Service accounts and application programming interfaces often require broad permissions to function reliably.

The Timeless Architecture: Enterprise Integration Patterns That Exceed Technology Trends

A strange reality is often encountered by enterprise technology leaders: everything seems to change, yet many things remain the same. New technologies emerge — from COBOL to Java to Python, from mainframes to the cloud — but the fundamental problems persist. Organizations still need to connect incompatible systems, convert data between different formats, maintain reliability when components fail, and scale to meet increasing demand. ... Synchronous request-response communication creates tight coupling and can lead to cascading failures. Asynchronous messaging has appeared across all eras — on mainframes via MQ, in SOA through ESB platforms, in cloud environments via managed messaging services such as SQS and Service Bus, and in modern event-streaming platforms like Kafka. ... A key architectural question is how to coordinate complex processes that span multiple systems. Two primary approaches exist. Orchestration relies on a centralized coordinator to control the workflow, while choreography allows systems to react to events in a decentralized manner. Both approaches existed during the mainframe era and remain relevant in microservices architectures today. Each has advantages: orchestration provides control and visibility, while choreography offers resilience and loose coupling. ... Organizations that treat security as a mere technical afterthought often accumulate significant technical debt. In contrast, enterprises that embed security patterns as foundational architectural elements are better equipped to adapt as technologies evolve.

From distributed monolith to composable architecture on AWS: A modern approach to scalable software

A distributed monolith is a system composed of multiple services or components, deployed independently but tightly coupled through synchronous dependencies such as direct API calls or shared databases. Unlike a true microservices architecture, where services are autonomous and loosely coupled, distributed monoliths share many pitfalls of monoliths ... Composable architecture embraces modularity and loose coupling by treating every component as an independent building block. The focus lies in business alignment and agility rather than just code decomposition. ... Start by analyzing the existing application to find natural business or functional boundaries. Use Domain-Driven Design to define bounded contexts that encapsulate specific business capabilities. ... Refactor the code into separate repositories or modules, each representing a bounded context or microservice. This clear separation supports independent deployment pipelines and ownership. ... Replace direct code or database calls with API calls or events. For example: Use REST or GraphQL APIs via API Gateway. Emit business events via EventBridge or SNS for asynchronous processing. Use SQS for message queuing to handle transient workloads. ... Assign each microservice its own DynamoDB table or data store. Avoid cross-service database joins or queries. Adopt a single-table design in DynamoDB to optimize data retrieval patterns within each service boundary. This approach improves scalability and performance at the data layer.

Firmware scanning time, cost, and where teams run EMBA

Security teams that deal with connected devices often end up running long firmware scans overnight, checking progress in the morning, and trying to explain to colleagues why a single image consumed a workday of compute time. That routine sets the context for a new research paper that examines how the EMBA firmware analysis tool behaves when it runs in different environments. ... Firmware scans often stretch into many hours, especially for medium and large images. The researchers tracked scan durations down to the second and repeated runs to measure consistency. Repeated executions on the same platform produced nearly identical run times and findings. That behavior matters for teams that depend on repeatable results during testing, validation, or research work. It also supports the use of EMBA in environments where scans need to be rerun with the same settings over time. The data also shows that firmware size alone does not explain scan duration. Internal structure, compression, and embedded components influenced how long individual modules ran. Some smaller images triggered lengthy analysis steps, especially during deep inspection stages. ... Nuray said cloud based EMBA deployments fit well into large scale scanning activity. He described cloud execution as a practical option for parallel analysis across many firmware images. Local systems, he added, support detailed investigation where teams need tight control over execution conditions and repeatability.

'Most Severe AI Vulnerability to Date' Hits ServiceNow

Authentication issues in ServiceNow potentially opened the door for arbitrary attackers to gain full control over the entire platform and access to the various systems connected to it. ... Costello's first major discovery was that ServiceNow shipped the same credential to every third-party service that authenticated to the Virtual Agent application programming interface (API). It was a simple, obvious string — "servicenowexternalagent" — and it allowed him to connect to ServiceNow as legitimate third-party chat apps do. To do anything of significance with the Virtual Agent, though, he had to impersonate a specific user. Costello's second discovery, then, was quite convenient. He found that as far as ServiceNow was concerned, all a user needed to prove their identity was their email address — no password, let alone multifactor authentication (MFA), was required. ... An attacker could use this information to create tickets and manage workflows, but the stakes are now higher, because ServiceNow decided to upgrade its virtual agent: it can now also engage the platform's shiny new "Now Assist" agentic AI technology. ... "It's not just a compromise of the platform and what's in the platform — there may be data from other systems being put onto that platform," he notes, adding, "If you're any reasonably-sized organization, you are absolutely going to have ServiceNow hooked up to all kinds of other systems. So with this exploit, you can also then ... pivot around to Salesforce, or jump to Microsoft, or wherever."

Cybercrime Inc.: When hackers are better organized than IT

Cybercrime has transformed from isolated incidents into an organized industry. The large groups operate according to the same principles as international corporations. They have departments, processes, management levels, and KPIs. They develop software, maintain customer databases, and evaluate their success rates. ... Cybercrime now functions like a service chain. Anyone planning an attack today can purchase all the necessary components — from initial access credentials to leak management. Access brokers sell access to corporate networks. Botnet operators provide computing power for attacks. Developers deliver turnkey exploits tailored to known vulnerabilities. Communication specialists handle contact with the victims. ... What makes cybercrime so dangerous today is not just the technology itself, but the efficiency of its use. Attackers are flexible, networked, and eager to experiment. They test, discard, and improve — in cycles that are almost unimaginable in a corporate setting. Recruitment is handled like in startups. Job offers for developers, social engineers, or language specialists circulate in darknet forums. There are performance bonuses, training, and career paths. The work methods are agile, communication is decentralized, and financial motivation is clearly defined. ... Given this development, absolute security is unattainable. The crucial factor is the ability to quickly regain operational capability after an attack. Cyber resilience describes this competence — not only to survive crises but also to learn from them.