Showing posts with label cyber security. Show all posts
Showing posts with label cyber security. Show all posts

Daily Tech Digest - September 14, 2025


Quote for the day:

"Courage doesn't mean you don't get afraid. Courage means you don't let fear stop you." -- Bethany Hamilton


The first three things you’ll want during a cyberattack

The first wave of panic a cyberattack comes from uncertainty. Is it ransomware? A phishing campaign? Insider misuse? Which systems are compromised? Which are still safe? Without clarity, you’re guessing. And in cybersecurity, guesswork can waste precious time or make the situation worse. ... Clarity transforms chaos into a manageable situation. With the right insights, you can quickly decide: What do we isolate? What do we preserve? What do we shut down right now? The MSPs and IT teams that weather attacks best are the ones who can answer those questions without delays. ... Think of it like firefighting: Clarity tells you where the flames are, but control enables you to prevent the blaze from consuming the entire building. This is also where effective incident response plans matter. It’s not enough to have the tools; you need predefined roles, playbooks and escalation paths so your team knows exactly how to assert control under pressure. Another essential in this scenario is having a technology stack with integrated solutions that are easy to manage. ... Even with visibility and containment, cyberattacks can leave damage behind. They can encrypt data and knock systems offline. Panicked clients demand answers. At this stage, what you’ll want most is a lifeline you can trust to bring everything back and get the organization up and running again.


Emotional Blueprinting: 6 Leadership Habits To See What Others Miss

Most organizations use tools like process mapping, journey mapping, and service blueprinting. All valuable. But often, these efforts center on what needs to happen operationally—steps, sequences, handoffs. Even journey maps that include emotional states tend to track generalized sentiment (“frustrated,” “confused”) at key stages. What’s often missing is an observational discipline that reveals emotional nuance in real time. ... People don’t just come to get things done. They come with emotional residue—worries, power dynamics, pride, shame, hope, exhaustion. And while you may capture some of this through traditional tools, observation fills in what the tools can’t name. ... Set aside assumptions and resist the urge to explain. Just watch. Let insight come without forcing interpretation. ... Focus on micro-emotions in the moment, then pull back to observe the emotional arc of a journey. ... Observe what happens in thresholds—hallways, entries, exits, loading screens. These in-between moments often hold the strongest emotional cues. ... Track how people react, not just what they do. Does their behavior show trust, ease, confusion, or hesitance? ... Trace where momentum builds—or breaks. Energy flow is often a more reliable signal than feedback forms.


Cloud security gaps widen as skills & identity risks persist

According to the report, today's IT environment is increasingly complicated. The data shows that 82% of surveyed organisations now operate hybrid environments, and 63% make use of multiple cloud providers. As the use of cloud services continues to expand, organisations are required to achieve unified security visibility and enforce consistent security policies across fragmented platforms. However, the research found that most organisations currently lack the necessary controls to manage this complexity. This deficiency is leading to blind spots that can be exploited by attackers. ... The research identifies identity management as the central vulnerability in current cloud security practices. A majority of respondents (59%) named insecure identities and permissions as their primary cloud security concern. ... "Identity has become the cloud's weakest link, but it's being managed with inconsistent controls and dangerous permissions. This isn't just a technical oversight; it's a systemic governance failure, compounded by a persistent expertise gap that stalls progress from the server room to the boardroom. Until organisations get back to basics, achieving unified visibility and enforcing rigorous identity governance, they will continue to be outmanoeuvred by attackers," said Liat Hayun, VP of Product and Research at Tenable.


Biometrics inspire trust, policy-makers invite backlash

The digital ID ambitions of the EU and World are bold, the adoption numbers still to come, they hope. Romania is reducing the number of electronic identity cards it is planning to issue for free by a million and a half following a cut to the project’s budget. It risks fines that eventually in theory could stretch into hundreds of millions of euros for missing the EU’s digital ID targets. World now gives fans of IDs issued by the private sector, iris biometrics, decentralized systems and blockchain technologies an opportunity to invest in them on the NASDAQ. ... An analysis of the Online Safety Act by the ITIF cautions that any attempt to protect children from online harms invites backlash if it blocks benign content, or if it isn’t crystal clear about the lines between harmful and legal content. Content that promotes self-harm is being made illegal in the UK under the OSA, shifting the responsibility of online platforms from age assurance to content moderation. By making the move under the OSA, new UK Tech Secretary Liz Kendall risks strengthening arguments that the government is surreptitiously increasing censorship.  Her predecessor Peter Kyle, having presided over the project so far, now gets to explain it to the American government as Trade Secretary. Domestically, more children than adults consider age checks effective, survey respondents tell Sumsub, but nearly half of UK consumers worry about the OSA leading to censorship.


How to make your people love change

The answer lies in a core need every person has: self-concordance. When change is aligned with a person’s aspirations, values, and purpose, they are more likely to embrace it. To make that happen, we need a mindset shift. This needs to happen at two levels. ... The first thing to consider is that we have to think of employees not as objects of change but as internal customers. Just like marketers try to study consumer behaviour and aspirations with deep granularity, we must try to understand employees in similar detail. And not just see them as professionals but as individuals. ... Second, it meets the employees where they are, instead of trying to push them towards an agenda. And third, and most importantly, it makes them not just invested in the change process but turns them into the change architects. What these architects will build may not be the same as what we want them to, but there will be some overlaps. And because we empowered them to do this, they become fellow travelers, and this creates a positive change momentum, which we can harvest to effect the changes we want as well. ... We worked with a client where there was a need to get out of excessively critical thinking—a practice that had kept them compliant and secure, but was now coming in the way of growth—and move towards a more positive culture. 


Cloud-Native Security in 2025: Why Runtime Visibility Must Take Center Stage

For years, cloud security has leaned heavily on preventative controls like code scanning, configuration checks, and compliance enforcement. While essential, these measures provide only part of the picture. They identify theoretical risks, but not whether those risks are active and exploitable in production. Runtime visibility fills that gap. By observing what workloads are actually running — and how they behave — security teams gain the highest fidelity signal for prioritizing threats. ... Modern enterprises face an avalanche of alerts across vulnerability scanners, cloud posture tools, and application security platforms. The volume isn't just overwhelming — it's unsustainable. Analysts often spend more time triaging alerts than actually fixing problems. To be effective, organizations must map vulnerabilities and misconfigurations to:The workloads that are actively running. The business applications they support. The teams responsible for fixing them. This alignment is critical for bridging the gap between security and development. Developers often see security findings as disruptive, low-context interruptions. ... Another challenge enterprises face is accountability. Security findings are only valuable if they reach the right owner with the right context. Yet in many organizations, vulnerabilities are reported without clarity about which team should fix them.


Want to get the most out of agentic AI? Get a good governance strategy in place

The core challenge for CIOs overseeing agentic AI deployments will lie in ensuring that agentic decisions remain coherent with enterprise-level intent, without requiring constant human arbitration. This demands new governance models that define strategic guardrails in machine-readable logic and enforce them dynamically across distributed agents. ... Agentic agents in the network, especially those retrained or fine-tuned locally, may fail to grasp the nuance embedded in these regulatory thresholds. Worse, their decisions might be logically correct yet legally indefensible. Enterprises risk finding themselves in court arguing the ethical judgment of an algorithm. The answer lies in hybrid intelligence: pairing agents’ speed with human interpretive oversight for edge cases, while developing agentic systems capable of learning the contours of ambiguity. ... Enterprises must build policy meshes that understand where an agent operates, which laws apply, and how consent and access should behave across borders. Without this, global companies risk creating algorithmic structures that are legal in no country at all. In regulated industries, ethical norms require human accountability. Yet agent-to-agent systems inherently reduce the role of the human operator. This may lead to catastrophic oversights, even if every agent performs within parameters.


The Critical Role of SBOMs (Software Bill of Materials) In Defending Medtech From Software Supply Chain Threats

One of the primary benefits of an SBOM is enhanced transparency and traceability. By maintaining an accurate and up-to-date inventory of all software components, organizations can trace the origin of each component and monitor any changes or updates. ... SBOMs play a vital role in vulnerability management. By knowing exactly what components are present in their software, organizations can quickly identify and address vulnerabilities as they are discovered. Automated tools can scan SBOMs against known vulnerability databases, alerting organizations to potential risks and enabling timely remediation. ... For medical device manufacturers, compliance with regulatory requirements is paramount. Regulatory bodies, such as the U.S. FDA (Federal Drug Administration) and the EMA (European Medicines Agency), have recognized the importance of SBOMs in ensuring the security and safety of medical devices. ... As part of this regulatory framework, the FDA emphasizes the importance of incorporating cybersecurity measures throughout the product lifecycle, from design and development to post-market surveillance. One of the critical components of this guidance is the inclusion of an SBOM in premarket submissions. The SBOM serves as a foundational element in identifying and managing cybersecurity risks. The FDA’s requirement for an SBOM is not just about listing software components; it’s about promoting a culture of transparency and accountability within the medical device industry.


Shedding light on Shadow AI: Turning Risk to Strategic Advantage

The fact that employees are adopting these tools on their own tells us something important: they are eager for greater efficiency, creativity, and autonomy. Shadow AI often emerges because enterprise tools lag what’s available in the consumer market, or because official processes can’t keep pace with employee needs. Much like the early days of shadow IT, this trend is a response to bottlenecks. People want to work smarter and faster, and AI offers a tempting shortcut. The instinct of many IT and security teams might be to clamp down, block access, issue warnings, and attempt to regain control. ... Employees using AI independently are effectively prototyping new workflows. The real question isn’t whether this should happen, but how organisations can learn from and build on these experiences. What tools are employees using? What are they trying to accomplish? What workarounds are they creating? This bottom-up intelligence can inform top-down strategies, helping IT teams better understand where existing solutions fall short and where there’s potential for innovation. Once shadow AI is recognised, IT teams can move from a reactive to a proactive stance, offering secure, compliant alternatives and frameworks that still allow for experimentation. This might include vetted AI platforms, sandbox environments, or policies that clarify appropriate use without stifling initiative.


Why Friction Should Be a Top Consideration for Your IT Team

Some friction can be good, such as access controls that may require users to take a few seconds to authenticate their identities but that help to secure sensitive data, or change management processes that enable new ways of doing business. By contrast, bad friction creates delays and stress without adding value. Users may experience bad friction in busywork that delivers little value to an organization, or in provisioning delays that slow down important projects. “You want to automate good friction wherever possible,” Waddell said. “You want to eliminate bad friction.” ... As organizations work to eliminate friction, they can explore new approaches in key areas. The use of platform engineering lessens friction in multiple ways, enabling organizations to reduce the time needed to bring new products and services to market. Further, it can help organizations take advantage of automation and standardization while also cutting operational overhead. Establishing cyber resilience is another important way to remove friction. Organizations certainly want to avoid the massive friction of a data breach, but they also want to ensure that they can minimize the impact of a breach and enable faster incident response and recovery. “AI threats will outpace our ability to detect them,” Waddell said. “As a result, resilience will matter more than prevention.”

Daily Tech Digest - September 10, 2025


Quote for the day:

"Don't be pushed around by the fears in your mind. Be led by the dreams in your heart." -- Roy T. Bennet



Identify and eliminate the silent killers of developer productivity

Code reviews are a critical part of the development lifecycle, designed to improve code quality, share knowledge, and catch bugs before they get to production. But they are a significant bottleneck when not handled with care. ... This isn’t just a matter of lost time; it’s a killer of flow. Developers are forced into a constant state of context switching, losing their focus and momentum. You need to establish clear expectations and protocols for code reviews. ... Poor documentation forces a constant stream of interruptions and meetings that pull senior developers away from their own work to answer questions. It’s a prime example of a process failure that creates a huge amount of hidden, unproductive work. Make documentation a first-class citizen in your development process. ... Then there’s the peer who, perhaps with good intentions, cuts corners. They deliver a feature that “looks like it works” for a project manager who is hungry for a win. The PM, not seeing the technical debt or the flawed logic, approves it and pushes for immediate deployment. This undermines the entire team, as it normalizes a low-quality standard and signals that bad behavior is rewarded. You must step in and resolve these interpersonal and process conflicts. Use one-on-one meetings to address these issues directly and set clear expectations. It’s your job to ensure that the team’s decisions are respected and that the quality bar is not lowered for the sake of speed.


Industry leaders urge strong strategies for post-quantum readiness

Questions remain about the readiness of cryptographic solutions to withstand future quantum attacks. Sinha addressed these concerns directly: "Post quantum cryptography is here. DigiCert has been working along with other cryptography experts. We've been collaborating with the National Institute of Standards and Technology, NIST. Last year...NIST had announced the first three post quantum cryptography algorithms. One for encryption and two for authentication. They are the FIPS 203, 204 and 205 standards." ... Panelists underscored the importance of cryptographic inventory. "Creating the cryptographic inventory is the step zero of beginning any migration. And the complexity of creating...the cryptographic inventory cannot be overstated. It's a...real hard task, but it's really essential. It's the step zero because the inventory gives you the roadmap. How do you begin the journey? How do you start prioritising your systems and your applications?" said Chauhan. Luke Valenta added, "A cryptographic inventory is never going to be complete. So it's all really about the...process, and, and journey of putting that together. At Cloudflare in our migration, we started this inventory and we used that to figure out what are the highest priority systems to transition to post quantum first." Reilly noted, "Just raising the awareness and visibility of all the places where an enterprise uses cryptography - it can be a shock when that depth and breadth of the required transformation becomes apparent..."


Tech Debt: Why Fixing the Foundation Comes Before Building the Castle

Tech debt is about everything that stems from unstable foundations. I had to learn this during our scaling journey. Early on, we made quick decisions to ship features fast. But as we grew, those shortcuts started choking our growth. Companies pay an additional 10 to 20 percent to address tech debt on top of the costs of any project, and we felt every percentage point. The real killer isn't just the extra time – it's the opportunity cost. While your team is fixing yesterday's shortcuts, your competitors are building tomorrow's features. Developers working on the right things can accelerate a company's move into new markets or product areas and help companies differentiate themselves at disproportionate rates. But there's a human cost too. Nobody likes working with a significant handicap and being unproductive day after day. ... Here's where most companies get it wrong. They think innovation means constantly adding new features, launching new products, exploring new markets. But true innovation requires a stable foundation. 30 percent of CIOs surveyed believe that more than 20 percent of their technical budget ostensibly dedicated to new products is diverted to resolving issues related to tech debt. You're essentially pouring money into a bucket with holes in it. I've learned that the most innovative companies aren't necessarily the ones building the flashiest features – they're the ones who've mastered the discipline of maintaining clean, stable systems that can support rapid innovation.


Regulatory bodies close in on AI chatbots as LLMs face greater scrutiny

As regulators roll out online safety laws designed to protect kids from harms associated with porn and social media, a new threat has crept up behind them that could overshadow both. AI chatbots – exemplified by OpenAI’s large language model, ChatGPT – have been around long enough to prove themselves popular, and risky. ... Inman-Grant says schools have “been reporting that 10- and 11-year-old children are spending up to six hours per day on AI companions.” Moreover, it’s not just that they’re befriending LLMs – it’s that they’re often friends with benefits, or “sexualized chatbots.” “We don’t need to see a body count to know that this is the right thing for the companies to do,” says the commissioner. “I don’t want to see Australian lives ruined or lost as a result of the industry’s insatiable need to move fast and break things.” ... Brazilian authorities are pressuring Meta to immediately remove AI chatbots that “simulate child profiles and engage in sexual conversations with users.” According to PPC Land, the bots in question are those created using Meta AI Studio, a tool for developing custom AI chatbots. In mid-August, Brazil’s Attorney General (AGU) issued an “extrajudicial notice” giving Meta 72 hours to remove the erotic kiddie chatbots. It references Article 217-A of Brazil’s Penal Code, which criminalizes sexual acts with minors under 14 years old.The AGU argues that this includes simulated sexual interactions with AI. Under Brazilian law, platforms are liable for harmful content hosted on their services.


The Value-Driven AI Roadmap

The use of value stream management helps organizations map their processes, identifying impediments to delivering software that has value, and using automation to collect metrics that give insights into those processes – and even anticipate where the next hurdles might pop up, Knight said. “I’m going to map the process out, look at where things are and say, hey, I could put an AI agent here, then create a program and a plan to do that in a technology roadmap to line up with it,” he explained. Technology roadmapping involves aligning AI – what the organization is using now and what its needs might be a few years down the road – with business value. Staying on top of technology involves changes being driven by the market, the level of capability maturity within the organization, and finding where the gaps in your technology exist. “Roadmapping is more about helping organizations line up the change of different technologies and how to roll that out,” he said. Finally, Knight pointed out, assessing the skills within your workforce, where training is needed, and how willing the workers are to change, is critical. “It’s about how people in the future, in organizations, will have AI agents that work for them. And you think about it having extra capabilities where I’m going to have this set of skills with these people, but I may have an agent that works for me,” Knight said. “Maybe that agent does paralegal work for me.


The Hidden Cost of Overuse and Misuse of Data Storage

At first glance, storing everything might not seem like a huge problem. But when you factor in rising energy prices and ballooning data volumes, the cracks in that strategy start to show. Over time, outdated storage practices, from legacy systems to underused cloud buckets, can become a surprisingly expensive problem. ... what often gets overlooked are the hidden costs: the backup of low-value data, the power consumption of idle systems, or the surprise charges that come from cloud services which are not being monitored properly. Then there’s the operational cost. Disorganised or poorly labelled data makes access slower and compliance tougher. It also increases security risks, especially if sensitive information is spread across uncontrolled environments. The longer these issues go unchecked, the more danger there is of a snowball effect. ... Cutting storage costs is an obvious benefit but it’s far from the only one. A smarter, edge-driven strategy helps businesses build a more efficient, resilient, and sustainable digital infrastructure ... By processing and filtering data locally, organisations reduce the energy demands of transmitting and storing large volumes centrally, supporting both carbon reduction targets and lower utility costs. As sustainability reporting becomes more critical, this can also help meet Scope 2 emissions goals.


9 cloud strategy questions every IT leader must answer

Cloud platforms are increasingly procured by non-IT teams. Establishing a unified decision framework that brings together expertise from across the enterprise to guide the cloud lifecycle, from selection to sunsetting, is key. Without this, “organizations face fragmented architectures, redundant tools, and compliance gaps,” says CIO Mentor’s Topinka ... Working with multiple cloud partners can offer negotiating leverage and access to best-of-breed services, but it also compounds complexity and requires a range of expertise. ... “The maturity and advancement of cloud solutions depend on the team’s culture and their ability to operate and innovate within the cloud,” Hackett Group’s Nathan adds. ... “Clear visibility into consumption patterns, resource allocation, and usage metrics is essential,” says Nathan, noting that cloud financial management practices help maintain accountability and prevent cost overruns, particularly in multicloud environments. Allocating cloud costs directly to business units or product teams also increases transparency and encourages more efficient use of cloud resources, according to Kocherlakota. ... Cloud adoption without attendant legacy modernization can backfire, S&P Global’s Kocherlakota says. “Simply using the cloud as a data center while maintaining legacy applications can lead to cost creep,” he says. “Investing in transforming legacy systems optimizes infrastructure and boosts efficiency.”


Has Cloud Security Reached Its Breaking Point?

The comfortable assumptions that have guided cloud security for the past decade are crumbling. Supply chain attacks cascade through thousands of projects simultaneously. ... The GitHub Actions compromise (CVE-2025-30066) represents an evolutionary leap in supply chain attacks. What started as a single compromised Personal Access Token cascaded through 23,000+ repositories by exploiting dependency chains. Attackers retroactively modified version tags and implemented memory dumping to extract AWS keys, GitHub tokens and RSA keys from CI/CD logs. ... 89 percent of enterprises run multi-cloud environments, but only 23 percent have full visibility across their infrastructure. This creates a perfect storm where 70 percent of attacks span three or more cloud surfaces simultaneously ... While experts predict quantum computers will break current encryption by 2027 to 2030, the 'harvest now, decrypt later' attacks are already underway. Only 24 percent of organizations have started post-quantum cryptography preparation, leaving millions of encrypted communications vulnerable to future decryption. ... The evidence is clear that incremental improvements cannot address the mathematical realities we face. Security already struggled to scale for cloud workloads without core organizational and process changes; with AI adoption accelerating, it is impossible unless enterprises address foundational gaps.


Probably Secure: A Look at the Security Concerns of Deterministic vs Probabilistic Systems

From a security standpoint, there are places where probability belongs, and places where it absolutely does not. Identity authentication, transaction authorization, cryptographic key validation, and agent permissions must be rooted in deterministic validation, not statistical confidence. Generative AI, while powerful, can easily mislead developers, suggesting insecure code, leaking secrets through logs, or introducing unsafe patterns without clear visibility. Even well-structured retrieval-augmented generation (RAG) systems have a fundamental limitation: you can’t “tune” them for security beyond scrutinizing all input and output, leaving room for mistakes that attackers can exploit. Your tooling needs to treat probabilistic intelligence as a supplement rather than a trust anchor, reinforcing every critical security decision with deterministic, provable checks. ... Probabilistic tools are powerful for risk detection, prioritization, and context enrichment. Generative AI may accelerate development, but without deterministic guardrails, it can also accelerate risk. Teams need to focus on closing this gap by combining the strengths of AI-driven detection with hardened, verifiable validation for every secret, token, and non-human identity. This layered model ensures that organizations can safely leverage AI-driven insights while preserving a foundation of cryptographic certainty.


What do cybercriminals know about the retail sector that we don’t?

“Stolen customer data is valuable to fraudsters. So, retail is particularly vulnerable because retailers store large quantities of consumer data.” With so much to lose, retailers should be taking more care to protect themselves, but that is no easy feat. The scale of their operations means their businesses have many moving parts. Their supply chains are long and complex, involving an intricate and ever-changing network of suppliers. ... While external cybersecurity advisors are often called in after a breach has occurred, it is also wise to have them on board as a pre-emptive measure, as Kirsten Whitfield, co-head of law firm Fieldfisher’s cyber breach team in London, explains “Get a forensics provider on board to help close down an incident, and engage them in advance, as they could stress test the systems against common attack vectors from their knowledge of hacking groups,” she says. “Even engage a professional ransomware negotiator who can profile attackers.” On the technical front, the biggest challenge is to keep pace with the growth in AI. Hackers are using it, so retailers need to invest in defensive AI to fight fire with fire. “Investing as regulators expect you to will not necessarily mean you are iron clad,” says Whitfield. “Hackers are increasingly sophisticated and use tools like AI, so it is a good idea to invest in it, too, though you don’t want to rush into buying AI that you think will protect you but has not been fully understood.”

Daily Tech Digest - September 09, 2025


Quote for the day:

“The greatest leader is not necessarily the one who does the greatest things. He is the one that gets the people to do the greatest things.” -- Ronald Reagan


Neuromorphic computing and the future of edge AI

While QC captures the mainstream headlines, neuromorphic computing has positioned itself as a force in the next era of AI. While conventional AI relies heavily on GPU/TPU-based architectures, neuromorphic systems mimic the parallel and event-driven nature of the human brain. ... Neuromorphic hardware has shown promise in edge environments where power efficiency, latency and adaptability matter most. From wearable medical devices to battlefield robotics, systems that can “think locally” without requiring constant cloud connectivity offer clear advantages. ... As neuromorphic computing matures, ethical and sustainability considerations will shape adoption as much as raw performance. Spiking neural networks’ efficiency reduces carbon footprints by cutting energy demands compared to GPUs, aligning with global decarbonization targets. At the same time, ensuring that neuromorphic models are transparent, bias‑aware and auditable is critical for applications in healthcare, defense and finance. Calls for AI governance frameworks now explicitly include neuromorphic AI, reflecting its potential role in high‑stakes decision‑making. Embedding sustainability and ethics into the neuromorphic roadmap will ensure that efficiency gains do not come at the cost of fairness or accountability.


10 security leadership career-killers — and how to avoid them

“Security has evolved from being the end goal to being a business-enabling function,” says James Carder, CISO at software maker Benevity. “That means security strategies, communications, planning, and execution need to be aligned with business outcomes. If security efforts aren’t returning meaningful ROI, CISOs are likely doing something wrong. Security should not operate as a cost center, and if we act or report like one, we’re failing in our roles.” ... CISOs generally know that the security function can’t be the “department of no.” But some don’t quite get to a “yes,” either, which means they’re still failing their organizations in a way that could stymie their careers, says Aimee Cardwell, CISO in residence at tech company Transcend and former CISO of UnitedHealth Group. ... CISOs who are too rigid with the rules do a disservice to their organizations and their professional prospects, says Cardwell. Such a situation recently came up in her organization, where one of her team members initially declined to permit a third-party application from being used by workers, pointing to a security policy barring such apps. ... CISOs who don’t have a firm grasp on all that they must secure won’t succeed in their roles. “If they don’t have visibility, if they can’t talk about the effectiveness of the controls, then they won’t have credibility and the confidence in them among leadership will erode,” Knisley says.


A CIO's Evolving Role in the Generative AI Era

The dual mandate facing CIOs today is demanding but unavoidable. They must deliver quick AI pilots that boards can take to the shareholders while also enforcing guardrails on security, ethics and cost aspects. Too much caution can make CIOs irrelevant. This balancing act requires not only technical fluency but also narrative skill. The ability to translate AI experiments into business outcomes that CEOs and boards can trust can make CIOs a force. The MIT report highlights another critical decision point: whether to build or buy. Many enterprises attempt internal builds, but externally built AI partnerships succeed twice as often. CIOs, pressured for fast results, must be pragmatic about when to build and when to partner. Gen AI does not - and never will - replace the CIO role. But it demands corrections. The CIO who once focused on alignment must now lead business transformation. Those who succeed will act less as CIOs and more as AI diplomats, bridging hype with pragmatism, connecting technological opportunities to shareholder value and balancing the boardroom's urgency with the operational reality. As AI advances, so does the CIO's role - but only if they evolve. Their reporting line to the CEO symbolizes greater trust and higher stakes. Unlike previous technology cycles, AI has brought the CIO to the forefront of transformation. 


Building an AI Team May Mean Hiring Where the Talent Is, Not Where Your Bank Is

Much of the adaptation of banking to AI approaches requires close collaboration between AI talent with people who understand how the banking processes involved need to work. This will put people closer together, literally, to facilitate both quick and in-depth but always frequent interactions to make collaboration work — paradoxically, increased automation needs more face-to-face dealings at the formative stages. However, the "where" of the space will also hinge on where AI and innovation talent can be recruited, where that talent is being bred and wants to work, and the types of offices that talent will be attracted to. ... "Banks are also recruiting for emerging specialties in responsible AI and AI governance, ensuring that their AI initiatives are ethical, compliant and risk-managed," the report says. "As ‘agentic AI’ — autonomous AI agents — and generative AI gain traction, firms will need experts in these cutting-edge fields too." ... Decisions don’t stop at the border anymore. Jesrani says that savvy banks look for pockets of talent as well. ... "Banks are contemplating their global strategies because emerging markets can provide them with talent and capabilities that they may not be able to obtain in the U.S.," says Haglund. "Or there may be things happening in those markets that they need to be a part of in order to advance their core business capabilities."


How Data Immaturity is Preventing Advanced AI

Data immaturity, in the context of AI, refers to an organisation’s underdeveloped or inadequate data practices, which limit its ability to leverage AI effectively. It encompasses issues with data quality, accessibility, governance, and infrastructure. Critical signs of data immaturity include inconsistent, incomplete, or outdated data leading to unreliable AI outcomes; data silos across departments hindering access and comprehensive analysis, as well as weak data governance caused by a lack of policies on data ownership, compliance and security, which introduces risks and restricts AI usage. ... Data immaturity also leads to a lack of trust in analysis and predictability of execution. That puts a damper on any plans to leverage AI in a more autonomous manner—whether for business or operational process automation. A recent study by Kearney found that organisations globally are expecting to increase data and analytics budgets by 22% in the next three years as AI adoption scales. Fragmented data limits the predictive accuracy and reliability of AI, which are crucial for autonomous functions where decisions are made without human intervention. As a result, organisations must get their data houses in order before they will be able to truly take advantage of AI’s potential to optimise workflows and free up valuable time for humans to focus on strategy and design, tasks for which most AI is not yet well suited.


From Reactive Tools to Intelligent Agents: Fulcrum Digital’s AI-First Transformation

To mature, LLM is just one layer. Then you require the integration layer, how you integrate it. Every customer has multiple assets in their business which have to connect with LLM layers. Every business has so many existing applications and new applications; businesses are also buying some new AI agents from the market. How do you bring new AI agents, existing old systems, and new modern systems of the business together — integrating with LLM? That is one aspect. The second aspect is every business has its own data. So LLM has to train on those datasets. Copilot and OpenAI are trained on zillions of data, but that is LLM. Industry wants SLM—small language models, private language models, and industry-orientated language models. So LLMs have to be fine-tuned according to the industry and also fine-tuned according to their data. Nowadays people come to realise that LLMs will never give you 100 per cent accurate solutions, no matter which LLM you choose. That is the phenomenon customers and everybody are now learning. The difference between us and others: many players who are new to the game deliver results with LLMs at 70–75 per cent. Because we have matured this game with multiple LLMs coexisting, and with those LLMs together maturing our Ryze platform, we are able to deliver more than 93–95 per cent accuracy. 


You Didn't Get Phished — You Onboarded the Attacker

Many organizations respond by overcorrecting: "I want my entire company to be as locked down as my most sensitive resource." It seems sensible—until the work slows to a crawl. Without nuanced controls that allow your security policies to distinguish between legitimate workflows and unnecessary exposure, simply applying rigid controls that lock everything down across the organization will grind productivity to a halt. Employees need access to do their jobs. If security policies are too restrictive, employees are either going to find workarounds or continually ask for exceptions. Over time, risk creeps in as exceptions become the norm. This collection of internal exceptions slowly pushes you back towards "the castle and moat" approach. The walls are fortified from the outside, but open on the inside. And giving employees the key to unlock everything inside so they can do their jobs means you are giving one to Jordan, too. ... A practical way to begin is by piloting ZSP on your most sensitive system for two weeks. Measure how access requests, approvals, and audits flow in practice. Quick wins here can build momentum for wider adoption, and prove that security and productivity don't have to be at odds. ... When work demands more, employees can receive it on request through time-bound, auditable workflows. Just enough access is granted just in time, then removed. By taking steps to operationalize zero standing privileges, you empower legitimate users to move quickly—without leaving persistent privileges lying around for Jordan to find.


OT Security: When Shutting Down Is Not an Option

some of the most urgent and disruptive threats today are unfolding far from the keyboard, in operational technology environments that keep factories running, energy flowing and transportation systems moving. In these sectors, digital attacks can lead to physical consequences, and defending OT environments demands specialized skills. Real-world incidents across manufacturing and critical infrastructure show how quickly operations can be disrupted when OT systems are not adequately protected. Just this week, Jaguar Land Rover disclosed that a cyberattack "severely disrupted" its automotive manufacturing operations. ... OT environments present challenges that differ sharply from traditional IT. While security is improving, OT security teams must protect legacy control systems running outdated firmware, making them difficult to patch. Operators need to prioritize uptime and safety over system changes; and IT and OT teams frequently work in silos. These conditions mean that breaches can have physical as well as digital consequences, from halting production to endangering lives. Training tailored to OT is essential to secure critical systems while maintaining operational continuity. ... An OT cybersecurity learning ecosystem is not a one-time checklist but a continuous program. The following elements help organizations choose training that meets current needs while building capacity for ongoing improvement.


Connected cars are racing ahead, but security is stuck in neutral

Connected cars are essentially digital platforms with multiple entry points for attackers. The research highlights several areas of concern. Remote access attacks can target telematics systems, wireless interfaces, or mobile apps linked to the car. Data leaks are another major issue because connected cars collect sensitive information, including location history and driving behavior, which is often stored in the cloud. Sensors present their own set of risks. Cameras, radar, lidar, and GPS can be manipulated, creating confusion for driver assistance systems. Once inside a vehicle, attackers can move deeper by exploiting the CAN bus, which connects key systems such as brakes, steering, and acceleration. ... Most drivers want information about what data is collected and where it goes, yet very few said they have received that information. Brand perception also plays a role. Many participants prefer European or Japanese brands, while some expressed distrust toward vehicles from certain countries, citing political concerns, safety issues, or perceived quality gaps. ... Manufacturers are pushing out new software-defined features, integrating apps, and rolling out over the air updates. This speed increases the number of attack paths and makes it harder for security practices and rules to keep up.


Circular strategies for data centers

Digital infrastructure is scaling rapidly, with rising AI workloads and increased compute density shaping investment decisions. Growth on that scale can generate unnecessary waste unless sustainability is integrated into planning. Circular thinking makes it possible to expand capacity without locking facilities into perpetual hardware turnover. Operators can incorporate flexibility into refresh cycles by working with vendors that design modular platforms or by adopting service-based models that build in maintenance, refurbishment, and recovery. ... Sustainable planning also involves continuous evaluation. Instead of defaulting to wholesale replacement, facilities can test whether assets still meet operational requirements through reconfiguration, upgrades, or role reassignment. This kind of iterative approach gives operators a way to match innovation with responsibility, ensuring that capacity keeps pace with demand without discarding equipment prematurely. ... The transition to circular practices is more than an environmental gesture. For data centers, it is a strategic shift in how infrastructure is procured, maintained, and retired. Extending lifecycles, redeploying equipment internally, refurbishing where possible, and ensuring secure, responsible recycling at the end of use all contribute to a more resilient operation in a resource-constrained and tightly regulated industry.

Daily Tech Digest - September 08, 2025


Quote for the day:

"Let no feeling of discouragement prey upon you, and in the end you are sure to succeed." -- Abraham Lincoln


Coding With AI Assistants: Faster Performance, Bigger Flaws

One challenge comes in the form of how AI coding assistants tend to package their code. Rather than delivering bite-size pieces, they generally deliver larger code pull requests for porting into the main project repository. Apiiro saw AI code assistants deliver three to four times as many code commits - meaning changes to a code repository - than non-AI code assistants, but packaging fewer pull requests. The problem is that larger PRs are inherently riskier and more time-consuming to verify. "Bigger, multi-touch PRs slow review, dilute reviewer attention and raise the odds that a subtle break slips through," said Itay Nussbaum, a product manager at Apiiro. ... At the same time, the tools generated deeper problems, in the form of a 150% increase in architectural flaws and an 300% increase in privilege issues. "These are the kinds of issues scanners miss and reviewers struggle to spot - broken auth flows, insecure designs, systemic weaknesses," Nussbaum said. "In other words, AI is fixing the typos but creating the time bombs." The tools also have a greater tendency to leak cloud credentials. "Our analysis found that AI-assisted developers exposed Azure service principals and storage access keys nearly twice as often as their non-AI peers," Nussbaum said. "Unlike a bug that can be caught in testing, a leaked key is live access: an immediate path into the production cloud infrastructure."


IT Leadership Is More Change Management Than Technical Management

Planning is considered critical in business to keep an organization moving forward in a predictable way, but Mahon doesn’t believe in the traditional annual and long-term planning in which lots of time is invested in creating the perfect plan which is then executed. “Never get too engaged in planning. You have a plan, but it’s pretty broad and open-ended. The North Star is very fuzzy, and it never gets to be a pinpoint [because] you need to focus on all the stuff that's going on around you,” says Mahon. “You should know exactly what you're going to do in the next two to three months. From three to six months out, you have a really good idea what you're going to do but be prepared to change. And from six to nine months or a year, [I wait until] we get three months away before I focus on it because tech and business needs change rapidly.” ... “The good ideas are mostly common knowledge. To be honest, I don’t think there are any good self-help books. Instead, I have a leadership coach who is also my mental health coach,” says Mahon. “Books try to get you to change who you are, and it doesn’t work. Be yourself. I have a leadership coach who points out my flaws, 90% of which I’m already aware of. His philosophy is don’t try to fix the flaw, address the flaw so, for example, I’m mindful about my tendency to speak too directly.”


The Anatomy of SCREAM: A Perfect Storm in EA Cupboard

SCREAM- Situational Chaotic Realities of Enterprise Architecture Management- captures the current state of EA practice, where most organizations, from medium to large complexity, struggle to derive optimal value from investments in enterprise architecture capabilities. It’s the persistent legacy challenges across technology stacks and ecosystems that need to be solved to meet strategic business goals and those moments when sudden, ill-defined executive needs are met with a hasty, reactive sprint, leading to a fractured and ultimately paralyzing effect on the entire organization. ... The paradox is that the very technologies offering solutions to business challenges are also key sources of architectural chaos, further entrenching reactive SCREAM. As noted, the inevitable chaos and fragmentation that emerge from continuous technology additions lead to silos and escalating compatibility issues. ... The chaos of SCREAM is not just an external force; it’s a product of our own making. While we preach alignment to the business, we often get caught up in our own storm in an EA cupboard. How often do we play EA on EA? ... While pockets of recognizable EA wins may exist through effective engagement, a true, repeatable value-add requires a seat at the strategic table. This means “architecture-first” must evolve beyond being a mere buzzword or a token effort, becoming a reliable approach that promotes collaborative success rather than individual credit-grabbing.


How Does Network Security Handle AI?

Detecting when AI models begin to vary and yield unusual results is the province of AI specialists, users and possibly the IT applications staff. But the network group still has a role in uncovering unexpected behavior. That role includes: Properly securing all AI models and data repositories on the network. Continuously monitoring all access points to the data and the AI system. Regularly scanning for network viruses and any other cyber invaders that might be lurking. ... both application and network teams need to ensure strict QA principles across the entire project -- much like network vulnerability testing. Develop as many adversarial prompt tests coming from as many different directions and perspectives as you can. Then try to break the AI system in the same way a perpetrator would. Patch up any holes you find in the process. ... Apply least privilege access to any AI resource on the network and continually monitor network traffic. This philosophy should also apply to those on the AI application side. Constrict the AI model being used to the specific use cases for which it was intended. In this way, the AI resource rejects any prompts not directly related to its purpose. ... Red teaming is ethical hacking. In other words, deploy a team whose goal is to probe and exploit the network in any way it can. The aim is to uncover any network or AI vulnerability before a bad actor does the same.


Lack of board access: The No. 1 factor for CISO dissatisfaction

CISOs who don’t get access to the board are often buried within their organizations. “There are a lot of companies that will hire at a director level or even a senior manager level and call it a CISO. But they don’t have the authority and scope to actually be able to execute what a CISO does,” says Nick Kathmann, CISO at LogicGate. Instead of reporting directly to the board or CEO, these CISOs will report to a CIO, CTO or other executive, despite the problems that can arise in this type of reporting structure. CIOs and CTOs are often tasked with implementing new technology. The CISO’s job is to identity risks and ensure the organization is secure. “If the CIO doesn’t like those risks or doesn’t want to do anything to fix those risks, they’ll essentially suppress them [CISOs] as much as they can,” says Kathmann. ... Getting in front of the board is one thing. Effectively communicating cybersecurity needs and getting them met is another. It starts with forming relationships with C-suite peers. Whether CISOs are still reporting up to another executive or not, they need to understand their peers’ priorities and how cybersecurity can mesh with those. “The CISO job is an executive job. As an executive, you rely completely on your peer relationships. You can’t do anything as an executive in a vacuum,” says Barrack. Working in collaboration, rather than contention, with other executives can prepare CISOs to make the most of their time in front of the board.


From Vault Sprawl to Governance: How Modern DevOps Teams Can Solve the Multi-Cloud Secrets Management Nightmare

Every time an application is updated or a new service is deployed, one or multiple new identities are born. These NHIs include service accounts, CI/CD pipelines, containers, and other machine workloads, the running pieces of software that connect to other resources and systems to do work. Enterprises now commonly see 100 or more NHIs for every single human identity. And that number keeps growing. ... Fixing this problem is possible, but it requires an intentional strategy. The first step is creating a centralized inventory of all secrets. This includes secrets stored in vaults, embedded in code, or left exposed in CI/CD pipelines and environments. Orphaned and outdated secrets should be identified and removed. Next, organizations must shift left. Developers and DevOps teams require tools to detect secrets early, before they are committed to source control or merged into production. Educating teams and embedding detection into the development process significantly reduces accidental leaks. Governance must also include lifecycle mapping. Secrets should be enriched with metadata such as owner, creation date, usage frequency, and last rotation. Automated expiration and renewal policies help enforce consistency and reduce long-term risk. Contributions should be both product- and vendor-agnostic, focusing on market insights and thought leadership.


Digital Public Infrastructure: The backbone of rural financial inclusion

When combined, these infrastructures — UPI for payments, ONDC for commerce, AAs for credit, CSCs for handholding support and broadband for connectivity form a powerful ecosystem. Together, these enable a farmer to sell beyond the village, receive instant payment and leverage that income proof for a micro-loan, all within a seamless digital journey. Adding to this, e-KYC ensures that identity verification is quick, low-cost and paperless, while AePS provides last-mile access to cash and banking services, ensuring inclusion even for those outside the smartphone ecosystem. This integration reduces dependence on middlemen, enhances transparency and fosters entrepreneurship. ...  Of course, progress does not mean perfection. There are challenges that must be addressed with urgency and sensitivity. Many rural merchants hesitate to fully embrace digital commerce due to uncertainties around Goods and Services Tax (GST) compliance. Digital literacy, though improving, still varies widely, particularly among older populations and women. Infrastructure costs such as last-mile broadband and device affordability remain burdensome for small operators. These are not reasons to slow down but opportunities to fine-tune policy. Simplifying tax processes for micro-enterprises, investing in vernacular digital literacy programmes, subsidising rural connectivity and embedding financial education into community touchpoints such as CSCs will be essential to ensure no one is left behind.


Cybersecurity research is getting new ethics rules, here’s what you need to know

Ethics analysis should not be treated as a one-time checklist. Stakeholder concerns can shift as a project develops, and researchers may need to revisit their analysis as they move from design to execution to publication. ...“Stakeholder ethical concerns impact academia, industry, and government,” Kalu said. “Security teams should replace reflexive defensiveness with structured collaboration: recognize good-faith research, provide intake channels and SLAs, support coordinated disclosure and pre-publication briefings, and engage on mitigation timelines. A balanced, invitational posture, rather than an adversarial one, will reduce harm, speed remediation, and encourage researchers to keep working on that project.” ... While the new requirements target academic publishing, the ideas extend to industry practice. Security teams often face similar dilemmas when deciding whether to disclose vulnerabilities, release tools, or adopt new defensive methods. Thinking in terms of stakeholders provides a way to weigh the benefits and risks of those decisions. ... Peng said ethical standards should be understood as “scaffolds that empower thoughtful research,” providing clarity and consistency without blocking exploration of adversarial scenarios. “By building ethics into the process from the start and revisiting it as research develops, we can both protect stakeholders and ensure researchers can study the potential threats that adversaries, who face no such constraints, may exploit,” she said.


From KYC to KYAI: Why ‘Algorithmic Transparency’ is Now Critical in Banking

This growing push for transparency into AI models has introduced a new acronym to the risk and compliance vernacular: KYAI, or "know your AI." Just like finance institutions must know the important details about their customers, so too must they understand the essential components of their AI models. The imperative has evolved beyond simply knowing "who" to "how." Based on my work helping large banks and other financial institutions integrate AI into their KYC workflows over the last few years, I’ve seen what can happen when these teams spend the time vetting their AI models and applying rigorous transparency standards. And, I’ve seen what can happen when they become overly trusting of black-box algorithms that deliver decisions based on opaque methods with no ability to attribute accountability. The latter rarely ever ends up being the cheapest or fastest way to produce meaningful results. ... The evolution from KYC to KYAI is not merely driven by regulatory pressure; it reflects a fundamental shift in how businesses operate today. Financial institutions that invest in AI transparency will be equipped to build greater trust, reduce operational risks, and maintain auditability without missing a step in innovation. The transformation from black box AI to transparent, governable systems represents one of the most significant operational challenges facing financial institutions today.


Why compliance clouds are essential

From a technical perspective, compliance clouds offer something that traditional clouds can’t match, these are the battle-tested security architectures. By implementing them, the organizations can reduce their data breach risk by 30-40% compared to standard cloud deployments. This is because compliance clouds are constantly reviewed and monitored by third-party experts, ensuring that we are not just getting compliance, but getting an enterprise-grade security that’s been validated by some of the most security-conscious organizations in the world. ... What’s particularly interesting is that 58% of this market is software focused. As organizations prioritize automation and efficiency in managing complex regulatory requirements, this number is set to grow further. Over 75% of federal agencies have already shifted to cloud-based software to meet evolving compliance needs. Following this, we at our organizations have also achieved FedRAMP® High Ready compliance for Cloud. ... Cloud compliance solutions deliver far-reaching benefits that extend well beyond regulatory adherence, offering a powerful mix of cost efficiency, trust building, adaptability, and innovation enablement. ... In an era where trust is a competitive currency, compliance cloud certifications serve as strong differentiators, signaling an organization’s unwavering commitment to data protection and regulatory excellence.

Daily Tech Digest - September 07, 2025


Quote for the day:

"The struggle you're in today is developing the strength you need for tomorrow." -- #Soar2Success


The Automation Bottleneck: Why Data Still Holds Back Digital Transformation

Even in firms with well-funded digital agendas, legacy system sprawl is an ongoing headache. Data lives in silos, formats vary between regions and business units, and integration efforts can stall once it becomes clear just how much human intervention is involved in daily operations. Elsewhere, the promise of straight-through processing clashes with manual workarounds, from email approvals and spreadsheet imports to ad hoc scripting. Rather than symptoms of technical debt, these gaps point to automation efforts that are being layered on top of brittle foundations. Until firms confront the architectural and operational barriers that keep data locked in fragmented formats, automation will also remain fragmented. Yes, it will create efficiency in isolated functions, but not across end-to-end workflows. And that’s an unforgiving limitation in capital markets where high trade volumes, vast data flows, and regulatory precision are all critical. ... What does drive progress are purpose-built platforms that understand the shape and structure of industry data from day one, moving, enriching, validating, and reformatting it to support the firm’s logic. Reinventing the wheel for every process isn’t necessary, but firms do need to acknowledge that, in financial services, data transformation isn’t some random back-office task. It’s a precondition for the type of smooth and reliable automation that prepares firms for the stark demands of a digital future.


Switching on resilience in a post-PSTN world

The copper PSTN network, first introduced in the Victorian era, was never built for the realities of today’s digital world. The PSTN was installed in the early 80s, and early broadband was introduced using the same lines in the early 90s. And the truth is, it needs to retire, having operated past its maintainable life span. Modern work depends on real-time connectivity and data-heavy applications, with expectations around speed, scalability, and reliability that outpace the capabilities of legacy infrastructure. ... Whether it’s a GP retrieving patient records or an energy network adjusting supply in real time, their operations depend on uninterrupted, high-integrity access to cloud systems and data center infrastructure. That’s why the PSTN switch-off must be seen not as a Telecoms milestone, but as a strategic resilience imperative. Without universal access upgrades, even the most advanced data centers can’t fulfil their role. The priority now is to build a truly modern digital backbone. One that gives homes, businesses, and CNI facilities alike robust, high-speed connectivity into the cloud. This is about more than retiring copper. It’s about enabling a smarter, safer, more responsive nation. Organizations that move early won’t just minimize risk, they’ll unlock new levels of agility, performance, and digital assurance.


Neither driver, nor passenger — covenantal co-creator

The covenantal model rests on a deeper premise: that intelligence itself emerges not just from processing information, but from the dynamic interaction between different perspectives. Just as human understanding often crystallizes through dialogue with others, AI-human collaboration can generate insights that exceed what either mind achieves in isolation. This isn't romantic speculation. It's observable in practice. When human contextual wisdom meets AI pattern recognition in genuine dialogue, new possibilities emerge. When human ethical intuition encounters AI systematic analysis, both are refined. When human creativity engages with AI synthesis, the result often transcends what either could produce alone. ... Critics will rightfully ask: How do we distinguish genuine partnership from sophisticated manipulation? How do we avoid anthropomorphizing systems that may simulate understanding without truly possessing it? ... The real danger isn't just AI dependency or human obsolescence. It's relational fragmentation — isolated humans and isolated AI systems operating in separate silos, missing the generative potential of genuine collaboration. What we need isn't just better drivers or more conscious passengers. We need covenantal spaces where human and artificial minds can meet as genuine partners in the work of understanding.


Facial recognition moves into vehicle lanes at US borders

According to the PTA, VBCE relies on a vendor capture system embedded in designated lanes at land ports of entry. As vehicles approach the primary inspection lane, high-resolution cameras capture facial images of occupants through windshields and side windows. The images are then sent to the VBCE platform where they are processed by a “vendor payload service” that prepares the files for CBP’s backend systems. Each image is stored temporarily in Amazon Web Services’ S3 cloud storage, accompanied by metadata and quality scores. An image-quality service assesses whether the photo is usable while an “occupant count” algorithm tallies the number of people in the vehicle to measure capture rates. A matching service then calls CBP’s Traveler Verification Service (TVS) – the central biometric database that underpins Simplified Arrival – to retrieve “gallery” images from government holdings such as passports, visas, and other travel documents. The PTA specifies that an “image purge service” will delete U.S. citizen photos once capture and quality metrics are obtained, and that all images will be purged when the evaluation ends. Still, during the test phase, images can be retained for up to six months, a far longer window than the 12-hour retention policy CBP applies in operational use for U.S. citizens.


Quantum Computing Meets Finance

Many financial-asset-pricing problems boil down to solving integral or partial differential equations. Quantum linear algebra can potentially speed that up. But the solution is a quantum state. So, you need to be creative about capturing salient properties of the numerical solution to your asset-pricing model. Additionally, pricing models are subject to ambiguity regarding sources of risk—factors that can adversely affect an asset’s value. Quantum information theory provides tools for embedding notions of ambiguity. ... Recall that some of the pioneering research on quantum algorithms was done in the 1990s by scientists like Deutsch, Shor, and Vazirani, among others. Today it’s still a challenge to implement their ideas with current hardware, and that’s three decades later. But besides hardware, we need progress on algorithms—there’s been a bit of a quantum algorithm winter. ... Optimization tasks across industries, including computational chemistry, materials science, and artificial intelligence, are also applied in the financial sector. These optimization algorithms are making progress. In particular, the ones related to quantum annealing are the most reliable scaled hardware out there. ... The most well-known case is portfolio allocation. You have to translate that into what’s known as quadratic unconstrained binary optimization, which means making compromises to maintain what you can actually compute. 


Beyond IT: How Today’s CIOs Are Shaping Innovation, Strategy and Security

It’s no longer acceptable to measure success by uptime or ticket resolution. Your worth is increasingly measured by your ability to partner with business units, translate their needs into scalable technology solutions and get those solutions to market quickly. That means understanding not just the tech, but the business models, revenue drivers and customer expectations. You don’t need to be an expert in marketing or operations, but you need to know how your decisions in architecture, tooling, and staffing directly impact their outcomes. ... Security and risk management are no longer checkboxes handled by a separate compliance team. They must be embedded into the DNA of your tech strategy. Becky refers to this as “table stakes,” and she’s right. If you’re not building with security from the outset, you’re building on sand. That starts with your provisioning model. We’re in a world where misconfigurations can take down global systems. Automated provisioning, integrated compliance checks and audit-ready architectures are essential. Not optional. ... CIOs need to resist the temptation to chase hype. Your core job is not to implement the latest tools. Your job is to drive business value and reduce complexity so your teams can move fast, and your systems remain stable. The right strategy? Focus on the essentials: Automated provisioning, integrated security and clear cloud cost governance. 


The Difference Between Entrepreneurs Who Survive Crises and Those Who Don't

Among the most underrated strategies for protecting reputation, silence holds a special place. It is not passivity; it's an intentional, active choice. Deciding not to react immediately to a provocation buys time to think, assess and respond surgically. Silence has a precise psychological effect: It frustrates your attacker, often pushing them to overplay their hand and make mistakes. This dynamic is well known in negotiation — those who can tolerate pauses and gaps often control the rhythm and content of the exchange. ... Anticipating negative scenarios is not pessimism — it's preparation. It means knowing ahead of time which actions to avoid and which to take to safeguard credibility. As Eccles, Newquist, and Schatz note in Harvard Business Review, a strong, positive reputation doesn't just attract top talent and foster customer loyalty — it directly drives higher pricing power, market valuation and investor confidence, making it one of the most valuable yet vulnerable assets in a company's portfolio. ... Too much exposure without a solid reputation makes an entrepreneur vulnerable and easily manipulated. Conversely, those with strong credibility maintain control even when media attention fades. In the natural cycle of public careers, popularity always diminishes over time. What remains — and continues to generate opportunities — is reputation. 


Ship Faster With 7 Oddly Specific devops Habits

PowerPoint can lie; your repo can’t. If “it works on my machine” is still a common refrain, we’ve left too much to human memory. We make “done” executable. Concretely, we put a Makefile (or a tiny task runner) in every repo so anyone—developer, SRE, or manager who knows just enough to be dangerous—can run the same steps locally and in CI. The pattern is simple: a single entry point to lint, test, build, and package. That becomes the contract for the pipeline. ... Pipelines shouldn’t feel like bespoke furniture. We keep a single “paved path” workflow that most repos can adopt unchanged. The trick is to keep it boring, fast, and self-explanatory. Boring means a sane default: lint, test, build, and publish on main; test on pull requests; cache aggressively; and fail clearly. Fast means smart caching and parallel jobs. Self-explanatory means the pipeline tells you what to do next, not just that you did it wrong. When a team deviates, they do it consciously and document why. Most of the time, they come back to the path once they see the maintenance cost of custom tweaks. ... A release isn’t done until we can see it breathing. We bake observability in before the first customer ever sees the service. That means three things: usable logs, metrics with labels that match our domain (not just infrastructure), and distributed traces. On top of those, we define one or two Service Level Objectives with clear SLIs—usually success rate and latency. 


Kali Linux vs Parrot OS – Which Penetration Testing Platform is Most Suitable for Cybersecurity Professionals?

Kali Linux ships with over 600 pre-installed penetration testing tools, carefully curated to cover the complete spectrum of security assessment activities. The toolset spans multiple categories, including network scanning, vulnerability analysis, exploitation frameworks, digital forensics, and post-exploitation utilities. Notable tools include the Metasploit Framework for exploitation testing, Burp Suite for web application security assessment, Nmap for network discovery, and Wireshark for protocol analysis. The distribution’s strength lies in its comprehensive coverage of penetration testing methodologies, with tools organized into logical categories that align with industry-standard testing procedures. The inclusion of cutting-edge tools such as Sqlmc for SQL injection testing, Sprayhound for password spraying integrated with Bloodhound, and Obsidian for documentation purposes demonstrates Kali’s commitment to addressing evolving security challenges. ... Parrot OS distinguishes itself through its holistic approach to cybersecurity, offering not only penetration testing tools but also integrated privacy and anonymity features. The distribution includes over 600 tools covering penetration testing, digital forensics, cryptography, and privacy protection. Key privacy tools include Tor Browser, AnonSurf for traffic anonymization, and Zulu Crypt for encryption operations.


How Artificial Intelligence Is Reshaping Cybersecurity Careers

AI-Enhanced SOC Analysts upends traditional security operations, where analysts leverage artificial intelligence to enhance their threat detection and incident response capabilities. These positions work with the existing analyst platforms that are capable of autonomous reasoning that mimics expert analyst workflows, correlating evidence, reconstructing timelines, and prioritizing real threats at a much faster rate. ... AI Risk Analysts and Governance Specialists ensure responsible AI deployment through risk assessments and adherence to compliance frameworks. Professionals in this role may hold a certification like the AIGP. This certification demonstrates that the holder can ensure safety and trust in the development and deployment of ethical AI and ongoing management of AI systems. This role requires foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles. ... AI Forensics Specialists represent an emerging role that combines traditional digital forensics with AI-specific environments and technology. This role is designed to analyze model behavior, trace adversarial attacks, and provide expert testimony in legal proceedings involving AI systems. While classic digital forensics focuses on post-incident investigations, preserving evidence and chain of custody, and reconstructing timelines, AI forensics specialists must additionally possess knowledge of machine learning algorithms and frameworks.