AI is reshaping both sides of the security equation — empowering defenders with faster detection and response while enabling attackers to scale and automate their operations. These articles examine the AI security landscape, from LLM-powered attack tools to AI-driven defense systems, and analyze market trends, hype cycles, and the real-world impact of AI on enterprise security programs.
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In March, TeamPCP turned trusted security tools into weapons. It did not stop there. Across April, May, and June 2026 the campaign breached GitHub itself, poisoned a VS Code extension to steal AI assistant credentials, open-sourced its own worm, and spawned ecosystem-wide copycats. Here is the full timeline, the IOCs, and what to do now.
LiteLLM's March 2026 vulnerability was a critical PyPI supply chain compromise affecting versions 1.82.7 and 1.82.8. Learn what happened, who was affected, and how to respond.
Every security vendor claims AI. Here's how to cut through the noise and identify what's genuine innovation versus rebranded automation.
See how Revaizor can transform your security testing.
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