Why Human Expertise Beats Vendor Hype in AI Cybersecurity

The Silicon Mirage: Why Generative AI Cannot Replace Security Operations Across the software industry, major technology vendors promote a compelling vision of AI in Cybersecurity5. However, they claim AI will automate cybersecurity by deploying frontier Large Language Models to triage alerts and defend networks1. Direct Answer : Does AI in Cybersecurity Eliminate SOC Alert Fatigue?No. … Read more

Sovereign Cryptography and the Strategic Evolution of the Guomi Suite: A Technical Analysis of SM3 and SM4

The global transition toward decentralised and sovereign cryptographic standards represents one of the most significant shifts in the history of information security. For decades, the international community relied almost exclusively on a handful of standards, primarily those vetted by the National Institute of Standards and Technology (NIST) in the United States. However, the emergence of … Read more

The Polinrider and Glassworm Supply Chain Offensive: A Forensic Post-Mortem

Industrialised Software Ecosystem Subversion and the Weaponisation of Invisible Unicode Executive Summary The early months of 2026 marked a pivotal escalation in the sophistication of software supply chain antagonism, characterised by a coordinated, multi-ecosystem offensive targeting the global development community. Central to this campaign was the Polinrider operation, a sprawling initiative attributed to Democratic People’s … Read more

The Axios Supply Chain Compromise: A Post-Mortem on Infrastructure Trust, Nation-State Proxy Warfare, and the Fragility of Modern JavaScript Ecosystems

TL:DR: This is a Developing Situation and I will try to update it as we dissect more. If you’d prefer the remediation protocol directly, you can head to the bottom. In case you want to understand the anatomy of the attack and background, I have made a video that can be a quick explainer. The … Read more

The LiteLLM Supply Chain Cascade: Empirical Lessons in AI Credential Harvesting and the Future of Infrastructure Assurance

TL:DR: This is an Empirical Study and could be quite long for non-researchers. If you’d prefer the remediation protocol directly, you can head to the bottom. In case you want to understand the anatomy of the attack and background, I have made a video that can be a quick explainer. Background and Summary: The compromise … Read more

Governance by Design: Real-Time Policy Enforcement for Edge AI Systems

The Emerging Problem of Autonomous Drift For most of the past decade, AI governance relied on a comfortable assumption: the system was always connected. Logs flowed to the cloud.Monitoring systems analysed behaviour.Security teams reviewed anomalies after deployment. That assumption is increasingly invalid. By 2026, AI systems are moving rapidly from the cloud to the edge. … Read more

The Velocity Trap: Why AI Safety is Losing the Orbital Arms Race

“The world is in peril.” These were not the frantic words of a fringe doomer, but the parting warning of Mrinank Sharma, the architect of safeguards research at Anthropic, the very firm founded on the premise of “Constitutional AI” and safety-first development. When the man tasked with building the industry’s most respected guardrails resigns in … Read more

Supply-Chain Extortion Lessons from the Pornhub-Mixpanel Incident

When the Weakest API Becomes the Loudest Breach. Key Takeaways for Security Leaders You can giggle about the subject if you want. The headlines almost invite it. An adult platform. Premium users. Leaked “activity data.” It sounds like internet tabloid fodder. But behind the jokes is a breach that should make every security leader deeply … Read more

What Caused Cloudflare’s Big Crash? It’s Not Rust

The Promise Cloudflare’s outage did not just take down a fifth of the Internet. It exposed a truth we often avoid in engineering: complex systems rarely fail because of bad code. They fail because of the invisible assumptions we build into them. This piece cuts past the memes, the Rust blame game and the instant … Read more

What Is the Truth About the Viral MIT Study Claiming 95% of AI Deployments Are a Failure – A Critical Analysis

Introduction: The Statistic That Shook the AI World When headlines screamed that 95% of AI projects fail, the internet erupted. Boards panicked, investors questioned their bets, and LinkedIn filled with hot takes. The claim, sourced from an MIT NANDA report, became a viral talking point across Fortune, Axios, Forbes, and Tom’s Hardware (some of my … Read more