Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Alex Stamos has 23 minutes to stop an AI chatbot leaking data (Live Tabletop Exercise)

What does a security leader actually do when an AI chatbot starts confidently revealing customer data that was never supposed to see the light of day? Alex has spent his career at the intersection of security and the hardest problems in tech—Chief Security Officer at Yahoo, Facebook, and SentinelOne, founder of the Stanford Internet Observatory, and now Chief Product Officer at Corridor, a startup focused on the security and safety of AI coding agents. If anyone knows what it looks like when AI ships faster than security can keep up, it’s him.

Ep. 65 - "Months, Not Years": The Five Eyes AI Warning and Your Security Program

On June 22, 2026, the heads of all six Five Eyes cyber agencies—GCHQ, CISA, the NSA, ASD, the Canadian Centre, and New Zealand's GCSB—signed a rare joint statement: AI has rewritten the cyber risk timeline, and it's months, not years. Host Tova Dvorin and offensive security expert Adrian Culley unpack why AI is collapsing the window between vulnerability and exploit, why "having controls" isn't the same as proven controls, and why legacy systems are now strategic liabilities for the board, not the IT team. A clear-eyed look at validation, assumed breach, and what CISOs should do Monday morning.

AI Just Shrank the Time Hackers Need to Weaponize Your Vulnerabilities

The Five Eyes intelligence alliance—NSA, CISA, GCHQ, Australia's ASD, Canada's Cyber Centre, and New Zealand's GCSB—just issued a joint warning: AI has compressed the window between vulnerability discovery and exploitation from years to months. Adrian breaks down what the "AI Shift in Cyber Risk" statement actually means for patching timelines and attacker sophistication—and why most organizations aren't moving fast enough to keep up.

Evaluating AI Security Posture Management Tools: 7 Key Criteria

Evaluating AI Security Posture Management (AI-SPM) tools is a critical process for organizations integrating AI, specifically Generative AI (GenAI) and Large Language Models (LLMs), into their workflows. Unlike traditional security tools, AI-SPM focuses on the unique risks of AI, including Shadow AI, prompt injection, data poisoning, model theft, and improper model configuration. When assessing AI-SPM tools, security leaders should prioritize the following capabilities.

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.