When Code Is Clean: Why AI Agent Behavior Demands Independent Verification

The ClawHavoc campaign exposed a critical gap in current AI agent security practices. While static scanning effectively detects malicious code in skills, it cannot catch threats embedded in runtime instructions or emergent unsafe behaviors that arise from the complex interaction between agent, model, and environment. Behavioral certification—which tests agent execution against known scenarios in sandboxed environments—provides the missing verification layer that code scanning alone cannot deliver.