Blog
On AI agent security, adversarial testing, and the compliance landscape.
A technical deep dive into how evolutionary adversarial testing uses population dynamics, fitness scoring, and intelligent mutation to discover AI agent vulnerabilities that one-shot scanners cannot reach.
The NIST AI Risk Management Framework provides structure. Automated adversarial testing provides evidence. Here's how to map NIST AI RMF functions to continuous AI agent assessment.
Not all AI security testing is equal. We break down the four major approaches to AI agent red-teaming and provide a framework for evaluating which one fits your security requirements.
Random mutations find random bugs. LLM-guided mutations find the bugs that matter. Here's how a Research Director transforms evolutionary red-teaming from brute force into intelligent adversarial research.
Single-prompt testing catches the obvious. Multi-turn adversarial research catches what actually breaks in production. Here's why continuous testing is the new standard.
OWASP's new Agentic AI Top 10 addresses risks unique to autonomous AI agents. We break down every category and what it means for your security posture.
The EU AI Act's high-risk requirements become enforceable in August 2026. Here's what enterprise compliance teams need to know about systematic AI agent testing.