Risk identification is an essential starting point for securing agentic AI systems. OWASP Agentic AI Top 10 provides valuable insight into how agents fail, how they are attacked, and where vulnerabilities emerge.
However, identifying risk is not the same as controlling it. Knowing what can go wrong does not automatically prevent it from happening.
Governance is the mechanism that translates risk awareness into operational control. It defines who is responsible, what actions are permitted, how policies are enforced, and how deviations are detected and corrected.
USA-ADL™ complements risk-focused frameworks by providing lifecycle authority over agent behavior. It does not replace risk taxonomies. It ensures that once risks are understood, there is a governing structure capable of managing them in production.
In practice, effective agent security requires both perspectives. Risk frameworks explain the problem space. Lifecycle governance ensures the system remains accountable within it.
