Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic AI fails differently than traditional software. When a service crashes, alerts trigger, processes restart, and humans intervene. In contrast, an agent encountering a problem continues operating, reasoning past faults, improvising around missing inputs, and proceeding with actions. In these systems, failure redirects execution rather than stopping it. Many AI roadmaps have not yet fully considered this design challenge.

The Homegrown Agent Maturity Model for Execution & Risk (HAMMER): is a five-level framework with seven domains for security teams to locate where they stand on securing homegrown agents, then make the case for what they need to advance. The most powerful AI agents in your enterprise may be ones you never bought. Your own teams are building them by wiring models, tools, and data into software that acts on its own, often with little security approval or oversight.