Claude Mythos Just Killed Exploitability as a Security Signal

The game has changed. For years, security teams used exploitability to decide what to patch first. If a vulnerability had a known exploit, it went to the top of the list. If not, it waited. But with the arrival of next-gen AI models like Claude Mythos, that strategy is officially broken. In this video, we discuss how Claude Mythos has collapsed the barrier to building working exploits. What used to take real skill and significant time can now be weaponized in minutes. When everything is exploitable, exploitability becomes noise.

The Governance Gap: How the EU AI Act Makes API Security a Compliance Imperative

Your legal team just handed you a 400-page document and said "figure out compliance." The EU AI Act is live, your organization falls under its scope, which is broader than many expect. Even non‑EU companies must comply if their AI systems are used, deployed, or produce effects within the European Union. In practice, that means that global organizations building or integrating AI models cannot treat the Act as a regional regulation.

What Small Businesses Actually Need to Know Before, During, and After a Tax Audit

A tax audit notification lands differently when you're a small business owner than when you're a large corporation with a dedicated tax department. For most small businesses, an audit means diverting significant time and attention from operations, working through records that may not be organized the way auditors expect, and navigating a process that feels opaque even when you've done nothing wrong. The best defense isn't just clean records - it's understanding how auditing procedures actually work, what triggers them, and how to respond in a way that resolves the matter efficiently rather than escalating it unnecessarily.

Types of AI Guardrails and When to Use Them (2026)

The types of AI guardrails are input guardrails, output guardrails, security guardrails, ethical guardrails, and operational guardrails, each positioned at a different failure point across an inference pipeline. Gartner’s research found that 30% of generative AI projects don’t survive past the proof-of-concept stage, with weak risk controls cited as the leading reason. Most of those projects weren’t badly built. The models worked. The gaps were in what sat around them.

The Zero-Trust Audit: Protecting Financial Intelligence in the Cloud

Digital finance is shifting away from the old way of securing data. The old method relied on a strong perimeter to keep threats out. Once someone was inside the network, they often had free rein to move around. Cloud systems make that perimeter vanish because data moves between different apps and users constantly.

10 Clear-Cut Advantages of Colocation Data Centers

As your business grows you are likely to have ever-changing data storage and IT needs. That presents a potentially expensive challenge, especially if you want to enjoy all of the benefits of an enterprise-grade infrastructure, but without committing to major capital expenditure. That's where cabinet colocation comes into its own. It is a solution that allows you to cope with your data and IT needs at a fraction of the cost that you would be facing when going it alone.
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Bridging the Cyber Confidence Gap: A Board-Level Imperative for UK Organisations

Self-assurance and confidence is an essential and hard-earned skill for business leaders. Boards are expected to provide clarity during volatility and reassurance during disruption. However, cyber security presents a challenge: technology evolves continuously, threat actors adapt at speed and regulatory scrutiny continues to intensify. Within this environment, many organisations express belief in their cyber resilience, even as the underlying systems and risks evolve beneath them. In this context, confidence rooted in assumption can diverge quickly from assurance grounded in operational evidence.

How to Detect Man-in-the-Middle Attacks: Indicators, Methods, and Detection Gaps

Most MITM attacks don’t announce themselves. No alerts fire, no certificates visibly break, and no users report anything unusual. By the time the interception is discovered, credentials or session tokens are already in attacker hands. Knowing how to detect man-in-the-middle attacks requires looking across multiple layers: network traffic, DNS resolution, TLS certificate integrity, and session behavior.

Autonomous AI Agents Explained: Risks, Capabilities & Security Gaps

Autonomous AI agents are no longer experimental—they’re writing code, executing commands, and making decisions in real time. But as AI coding agents become more powerful, they’re also introducing a new and often invisible attack surface. In this video, we break down: AI agents can install packages, run scripts, and modify systems instantly—often without traditional visibility. That means security teams need to rethink how they monitor and protect their environments.