Mosca's Inequality is a three-variable test for whether your organization has missed the window to migrate to post-quantum cryptography. For most teams with data that needs to stay secret for a decade or more, the inequality has already been violated. Here's the framework, one worked example, and what to do next.

The year 2026 has marked a fundamental shift in the digital landscape. We are no longer living in the "wait and see" era of cybersecurity. Between the finalisation of NIST’s Post-Quantum Cryptography (PQC) standards and the strict enforcement of the EU Cyber Resilience Act (CRA) , the industry has hit a regulatory and technical "cliff". For the modern developer, the message is clear: if you cannot map, measure, and prove the strength of your encryption, you are building on b

The End of "Security by Obscurity" The barrier to entry for devastating cyberattacks has officially collapsed. According to the NCSC’s 2026 Frontier AI Assessment , the cost of orchestrating a sophisticated, multi-step enterprise breach has plummeted to just £65 , less than a standard business lunch. As "Promptware" replaces traditional malware, the UK’s primary cyber authority is sounding the alarm: traditional internal guardrails are no longer sufficient. We are entering an

The recent compromise of the AXIOS JavaScript library has exposed critical vulnerabilities in the software supply chain, raising urgent questions about the trustworthiness of modern infrastructure and the fragility of open source ecosystems. This incident highlights how deeply interconnected and dependent organisations are on third-party components, particularly in popular package managers such as NPM and PyPi. Our security research team has conducted a thorough analysis of t

If compliance can be done in two weeks, what exactly is being validated? This question is more than rhetorical. It strikes at the heart of a growing problem in the SaaS industry: the rush to tick boxes and generate certificates without truly securing systems. Recent controversies around compliance startups have exposed cracks in the foundation of “fast compliance” platforms. These issues go beyond individual companies and point to systemic flaws that every SaaS founder, CTO,

Artificial intelligence native startups face unique challenges when building and scaling AI-powered applications. As these startups rely heavily on large language models (LLMs), retrieval-augmented generation (RAG) pipelines, and model-centric platforms (MCP), they must protect their workflows from evolving security threats without slowing down innovation. RAGuard offers a practical solution designed specifically for AI native companies, providing enterprise-grade security wi

1. A Quiet Near-Miss in the Software Supply Chain In January 2026, the security community caught a glimpse of the future of software supply chain attacks. It was not a zero-day exploit, a malicious dependency, or a leaked signing key. It was something far more mundane, and far more dangerous: a name. Koi Security disclosed a subtle but serious weakness affecting several popular AI-powered IDEs, including Cursor, Windsurf, and Google Antigravity. These tools inherit Visual St

In today’s digital landscape, organisations face an ever-growing array of cyber threats. To protect sensitive data and maintain operational integrity, it is essential to conduct a thorough vulnerability assessment process. This process helps identify weaknesses in systems, networks, and applications before attackers can exploit them. Understanding how to perform a comprehensive vulnerability assessment is a critical step in strengthening your cybersecurity posture. Understand

The Industry Is Solving the Wrong AI Threats The industry is focused on blocking the wrong failures. While most AI security efforts concentrate on filtering toxic outputs and preventing obvious misuse, a far more dangerous class of risk is quietly emerging: instruction persistence . During a recent enterprise AI safety evaluation, we observed how a single, seemingly legitimate interaction could introduce instructions that persisted over time. These instructions shaped behavio

For the past decade, privacy and compliance teams have relied on OneTrust as the “safe” enterprise default. It wasn’t perfect - complex, heavy, often slow - but it was predictable. Trusted. Stable. That stability is now in question. Rumors of a OneTrust sale to private equity aren’t just industry noise—they are a turning point. When the largest player in privacy operations enters a consolidation cycle, it signals something bigger: the end of the one-size-fits-all privacy sui

Introduction: The New Frontier of AI Governance Artificial intelligence is no longer an experimental feature; it’s at the core of how modern SaaS companies compete. But as AI scales across products, so does scrutiny — from regulators, customers, and investors alike. The new ISO 42001 standard has emerged as the first global AI management system framework . It’s the ISO 27001 moment for AI, setting the foundation for responsible, transparent, and auditable AI governance . For