The author has released Execution Governance AI (EGA) V9, an open-source runtime framework designed to govern autonomous AI agent actions deterministically before they proceed. Rather than replacing existing LLMs or agent frameworks, EGA V9 adds a separate layer that verifies workflows, evaluates trust states, and triggers fail-closed containment when predefined governance conditions are violated.

  • The implementation and methodology are publicly available on GitHub and Zenodo.
  • In the reported evaluation under specific threat models and experimental conditions, the system detected 100% of injected attacks with 0% false positives and 0% false negatives.
  • The author explicitly notes these results apply only to the defined scope and does not claim universal protection against all autonomous-agent attacks.
  • The post invites the community to attempt breaking the execution-governance boundary through reproduction, adversarial testing, and implementation criticism.

The framework aims to address the challenge of maintaining trustworthy runtime execution for agents that call tools and APIs without sacrificing performance or operational cost.