Daily Tech Digest: Daily Tech Digest

Quote for the day:

"Choose your heroes very carefully and then emulate them. You will never be perfect, but you can always be better." -- Warren Buffet

A developer’s guide to avoiding the brambles

Protect against the impossible, because it just might happen. Code has a way of surprising you, and it definitely changes. Right now you might think there is no way that a given integer variable would be less than zero, but you have no idea what some crazed future developer might do. Go ahead and guard against the impossible, and you’ll never have to worry about it becoming possible. ... If you’re ever tempted to reuse a variable within a routine for something completely different, don’t do it. Just declare another variable. If you’re ever tempted to have a function do two things depending on a “flag” that you passed in as a parameter, write two different functions. If you have a switch statement that is going to pick from five different queries for a class to execute, write a class for each query and use a factory to produce the right class for the job. ... Ruthlessly root out the smallest of mistakes. I follow this rule religiously when I code. I don’t allow typos in comments. I don’t allow myself even the smallest of formatting inconsistencies. I remove any unused variables. I don’t allow commented code to remain in the code base. If your language of choice is case-insensitive, refuse to allow inconsistent casing in your code. ... Implicitness increases cognitive load. When code does things implicitly, the developer has to stop and guess what the compiler is going to do. Default variables, hidden conversions, and hidden side effects all make code hard to reason about.

SaaS Rolls Forward, Not Backward: Strategies to Prevent Data Loss and Downtime

The SaaS provider owns infrastructure-level redundancy and backups to maintain operational continuity during regional outages or major disruptions. and SaaS teams are no longer responsible for infrastructure resilience. Instead, they are responsible for backing up and recovering data and files stored in their SaaS instances. This is significant for two primary reasons. First, the for become dependent on the vendor's capabilities, which are not within the control of the customer. ... A common misconception, even among mature InfoSec teams, is the assumption that SaaS data protection is fully managed by the vendor. This “set it and forget it” mindset, while understandable given the cloud promise, overlooks the need for organizations to backup their SaaS data. Common causes of data loss and corruption are human errors within the customer’s SaaS instance, including accidental deletion, integration issues, and migration mishaps which fall under the customer’s responsibility. ... InfoSec and SaaS teams must combine their knowledge and experience to ensure that backups contain all necessary data, as well as metadata, which provides the necessary context, and can be restored reliably. SaaS administrators can prevent users from logging in, disable automations, block upstream data from being sent, or restrict data from being sent to downstream systems as needed.

EU publishes Digital Omnibus leaving AI Act future uncertain

The unveiled amendments on Wednesday designed to simplify its digital regulatory framework, including the AI Act and data privacy rules, in a bid to boost innovation. The Digital Omnibus package introduces several measures, including delaying the stricter regulation of ‘high-risk’ AI applications until late 2027 and allowing companies to use sensitive data, such as biometrics, for AI training under certain conditions. ... The Digital Omnibus also attempts to adapt rules within privacy regulation, such as the General Data Protection Regulation (GDPR), the and the . The Commission plans to clarify when data stops being “personal.” This could open the doors for tech companies to include anonymous information from EU citizens into large datasets for training AI, even when they contain sensitive information such as biometric data, as long as they make reasonable efforts to remove it. ... EU member states have also called for postponing the rollout of the AI Act altogether, citing difficulties in defining related technical standards and the need for Europe to stay competitive in the global technological race. “Europe has not so far reaped the full benefits of the digital revolution,” says European economy commissioner . “And we cannot afford to pay the price for failing to keep up with demands of the changing world.”

Building Distributed Event-Driven Architectures Across Multi-Cloud Boundaries

The elegant simplicity of "fire an event and forget" becomes a complex orchestration of optimization, failure recovery, and data consistency across provider boundaries. Yet, when done right, multi-cloud event-driven architectures offer unprecedented resilience, performance, and business agility. ... Multi-cloud latency isn't just about network speed, it's about the compound effect of architectural decisions across cloud boundaries. Consider a transaction that needs to traverse from on-premise to for risk assessment, then to for analytics processing, and back to on-premise for core banking updates. Each hop introduces latency, but the cumulative effect can transform a sub-100 ms transaction into a multi-second operation. ... Here is an uncomfortable truth: Most resilience strategies focus on the wrong problem. As engineers, we typically put our efforts into handling failures that occur during an outage or when a service component is down. Equally important is how you recover from those failures after the outage is over. This approach to recovery creates systems that "fail fast" but "recover never". ... The combination of event stores, resilient policies, and systematic event replay capabilities creates a distributed system that not only survives failures, but also recovers automatically, which is a critical requirement for multi-cloud architectures. ... While duplicate risk processing merely wastes resources, duplicate financial transactions create regulatory nightmares and audit failures.

For AI to succeed in the SOC, CISOs need to remove legacy walls now

"The legacy SOC, as we know it, can't compete. It's turned into a modern-day firefighter," warned during his keynote at Fal.Con 2025. "The world is entering an arms race for AI superiority as adversaries weaponize AI to accelerate attacks. In the AI era, security comes down to three things: the quality of your data, the speed of your response, and the precision of your enforcement." Enterprise SOCs average 83 security tools across 29 different vendors, each generating isolated data streams that defy easy integration to the latest generation of AI systems. System fragmentation and lack of integration represent AI's greatest vulnerability, and organizations' most fixable problem. The mathematics of tool sprawl proves devastating. Organizations deploying AI across fragmented toolsets report significantly elevated false-positive rates. ... Getting governance right is one of a CISO's most formidable challenges and often includes removing longstanding roadblocks to make sure their organization can connect and make contributions across the business. ... A CISO's transformation from security gatekeeper to business enabler and strategist is the single best step any security professional can take in their career. CISOS often remark in interviews that the transition from being an app and data disciplinarian to an enabler of new growth with the ultimate goal of showing how their teams help drive revenue was the catalyst their careers needed.

Selling to the CISO: An open letter to the cybersecurity industry

Vendors think they’re selling technology. They’re not. They’re trying to sell confidence to people whose jobs depend on managing the impossible. As a CISO, I buy because I’m trying to reduce the odds that something catastrophic happens on my watch. Every decision is a gamble. There is no “safe” option in this field. I buy to reduce personal and organizational risk, knowing there’s no such thing as perfect protection. Cybersecurity is not a puzzle you solve. It’s a game you play — and it never ends. You make the best moves you can, knowing you’ll never win. Even if I somehow patched every system and closed every gap, the cost of perfection would cripple the company. ... The truth is that most organizations don’t need more tools. They need to get the fundamentals right. If you can patch consistently, maintain good access controls, and segment your networks so you aren’t running flat, you’re ahead of most of the market — no shiny tools required. Strong patching alone will eliminate most of the attack surface that vendors keep promising to “detect.” ... We can’t blame vendors alone. We created the market they’re serving. We bought into the illusion that innovation equals progress. We ignored the fundamentals because they’re hard and unglamorous. We filled our environments with products we couldn’t fully use and called it maturity. We built complexity and called it strategy. Then we act shocked when the same root causes keep taking us down. Good security still starts with good IT. Always has. Always will. If you don’t know what you own, you can’t protect it.

When IT fails, OT pays the price

Criminal groups are now demonstrating a better understanding of industrial dependencies. The Qilin group carried out 63 confirmed attacks against industrial entities since mid 2024 and has focused on energy distribution and water utilities. Their use of gives them wider reach inside mixed environments. Several incidents involved encryption of shared engineering resources and historian systems, which caused operational delays even when controllers remained untouched. ... Across intrusions, attackers favored techniques that exploit weak segmentation. activity made up the largest share of detections, followed by . The findings show that adversaries rarely need ICS specific exploits at the start of an attack. They rely on stolen accounts, remote access tools, and administrative shares to move toward engineering assets. ... The vulnerability data reinforces the emphasis on the boundary between enterprise systems and industrial systems. Ongoing exploitation of , including attacks that modified device firmware. Several critical flaws in and other manufacturing operations software were also exploited, which created direct pivot points into factory workflows. Recent disclosures affecting Rockwell ControlLogix and GuardLogix platforms allow remote code execution or force the controller into a failed state. Attacks on these devices pose immediate availability and safety risks.

India has the building blocks to influence global standards in AI infrastructure

The convergence of cloud, edge, and connectivity represents the foundation of India’s next AI leap. In a country as geographically and economically diverse as India, AI workloads can’t depend solely on centralized cloud resources. Edge computing allows us to bring compute closer to the source of data be it in a factory, retail store, or farm which reduces latency, lowers costs, and enhances privacy. Cloud provides elasticity and scalability, while secure connectivity ensures that both environments communicate seamlessly. This triad enables an AI model to be trained in the cloud, refined at the edge, and deployed securely across networks unlocking innovation in every geography. We have been building this connected fabric to ensure that access to compute and intelligence isn’t limited by location or scale. ... We see this evolution already unfolding. will thrive when infrastructure, connectivity, and platforms converge under a single, interoperable framework. Each stakeholder; telecoms, data centres, and hyperscalers brings a unique value: scale, proximity, and reach. ... India is already shaping global conversations around and secure connectivity, and the same potential exists in AI infrastructure. In next 5 years, India could stand out not for the size of its compute capacity but for how effectively it builds an inclusive digital foundation, one that blends cloud, edge, data governance, and innovation seamlessly.

How to Overcome Latency in Your Cyber Career

The presence of latency is not an indictment of your ability. It's a signal that something in your system needs attention. Identifying what creates latency in your professional life and learning how to address it are essential components of long-term growth. With a diagnostic mindset and a willingness to optimize, you can restore throughput and move forward with purpose. ... Career latency often appears when your knowledge no longer reflects current industry expectations. Even highly capable professionals experience slowdown when their technical foundation lags behind evolving practices. ... Unclear goals create misalignment between where you invest your time and where you want to progress. Without a defined direction, you may be working hard but not moving in a way that supports advancement. ... Professionals often operate under heavy workloads that dilute productivity. Too many competing responsibilities, constant context switching or tasks disconnected from your goals can limit your effectiveness and delay growth. ... Career progress can slow when your professional network lacks the signal strength needed to route opportunities in your direction. Without mentorship, community or visibility, growth becomes harder to sustain. ... Missed opportunities often stem from limited readiness. Preparation, bandwidth or timing may be misaligned, and promising chances can disappear before you can act.

Why IT-SecOps Convergence is Non-Negotiable

The message is clear: siloed operations are no longer just inefficient—they’re a security liability. ... The first, and often the most difficult step toward achieving true IT-SecOps convergence, is cultural. For years, IT and security teams have operated in silos, essentially functioning as two different businesses. ... On paper, these Key Performance Indicators (KPIs) appear aligned—both measure speed and efficiency. But in practice, they reflect different views: one is laser-focused on minimizing risk, the other on maximizing uptime. ... The real opportunity lies in establishing a shared mandate. Both teams need to understand that their goals are two sides of the same coin: you can’t have productive systems that aren’t secure, and security that breaks the system isn’t sustainable; therefore, convergence begins not with tools, but with alignment of intent. Once this clicks, both teams begin working from a common set of goals, shared KPIs, and joint decision frameworks. ... The strongest security posture doesn’t come from piling on more tools. It comes from creating continuous alignment between management, security, and user experience. When those three functions operate in sync, IT doesn’t deploy technology that security can’t enforce, security doesn’t introduce controls that slow down work, and users don’t feel the need to bypass policies with or risky shortcuts. ... When a unified structure is implemented, policies can be deployed instantly, validated automatically, and adjusted based on real user impact—all without waiting for separate teams to sync.

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Daily Tech Digest - November 20, 2025