Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Five Eyes Just Said AI Is Breaking Every Assumption in Your Security Program

The Five Eyes just put a number on something most security teams haven't priced in: AI is shrinking the gap between "vulnerability" and "actively exploited" faster than patch cycles can keep up. Adrian Culley and Tova Dvorin explain why CVSS scores alone can't tell you what's actually reachable in your environment — and why attack path validation is becoming the only way to know.

AI Pentesting for Compliance

For two decades, “penetration testing” has meant the same thing: once a year, you hire a firm, a human tester spends a week or two on your systems, and you get a PDF. Most compliance frameworks were written around exactly that ritual, a slow, manual, point-in-time engagement. Software doesn’t ship once a year anymore. It ships many times a day.

9-Step AI Governance Implementation Strategy and the Solutions to Know

TL;DR: AI governance solutions help organizations inventory, secure, and monitor AI systems. Best for AI security and shadow AI: Mend AI; enterprise risk and compliance: Credo AI and IBM watsonx.governance; model monitoring: Fiddler AI. Effective AI governance implementation involves establishing a cross-functional committee, compiling an AI bill of materials (AI-BOM) to identify risks, and implementing policies based on frameworks like NIST AI RMF.

What Is Network Security Assurance?

Every security leader has a version of the network in their head. They know which systems should be segmented, which applications should be reachable, which ports should never be open, and which access paths should not exist. They know how the architecture is supposed to work. The harder question is whether the live environment is actually enforcing that design right now. That question is getting more difficult to answer.

OWASP Top 10 for Agentic Applications 2026: What It Means for Enterprise AI Security

OWASP, the Open Worldwide Application Security Project, has published Top 10 lists for over two decades to help security teams prioritize the risks that matter most. The original OWASP Top 10 for web applications became the industry’s default checklist for application security. When large language models moved into production, OWASP followed with the Top 10 for LLM Applications, addressing risks like prompt injection and sensitive information disclosure in single-turn model responses.

AI Risk Categorization and Prioritization for Effective Governance

Artificial intelligence (AI) is transforming industries, but it also introduces new risks that organizations must manage carefully. This article explains how to develop and apply AI risk categories aligned with recognized frameworks, focusing on operational, technical, and ethical risks. Readers will learn how to prioritize these risks based on their potential impact on the organization.

Top AI Governance Tools for Shadow & Agentic Risks

AI governance platforms are evolving rapidly to manage new challenges such as shadow AI and agentic AI. These complexities arise as AI systems grow beyond traditional boundaries, operating autonomously and often without clear oversight. This article explores how leading AI governance solutions, especially Kovrr’s integrated platform, address these challenges through comprehensive visibility, risk quantification, compliance automation, and active enforcement.

A Framework for Vulnerability Mitigation

Vulnerability management has long been seen as one of the most straightforward areas in security. Scan your assets, identify vulnerabilities, prioritize the findings, and patch what you can. On paper, it looks like a repeatable process. But in reality, vulnerability mitigation is anything but simple. Environments are constantly changing. Assets come and go. New integrations, temporary exceptions, and incomplete inventories make it hard to know what is truly at risk.

From ISDN to AI - Two Veterans on How Defence in Depth Has Changed

Defence in depth has evolved every time the technology landscape has shifted. The internet, virtualisation, cloud, SaaS. AI is the next shift, and the old model isn't keeping up. Welcome to Razorwire, the podcast where we share our take on the world of cybersecurity with direct, practical advice for professionals and business owners alike. I'm Jim and in this episode, I'm joined once again by Martin Voelk, co-founder of SpartanX and an ethical hacker with nearly 26 years in cybersecurity.