Researchers at the University of Toronto have demonstrated a working proof-of-concept: an AI worm that autonomously reasons about its environment, generates attack strategies, and replicates itself without human intervention. It operates entirely on open-weight local models. This is no longer theoretical.
Anthropic released an open-source framework for automated vulnerability discovery powered by AI. This represents a fundamental shift in how security analysis can scale — from manual expert review to AI-assisted code hardening at development time.
AI models can now generate tests, find edge cases, and validate behavior at scale. But blindly using AI for testing creates false confidence. Here’s how to use AI effectively while maintaining actual test quality.
