Identifying, assessing, and controlling the risks a deployed AI agent creates.
Those risks are not only technical. An agent can create legal, financial, compliance, and reputational exposure by saying or doing the wrong thing at scale. Managing them means knowing what the agent is actually doing in production, not only what it was tested to do before launch.
Related: Model Risk Management, AI Agent Governance, Agent Accountability
See also: What Is AI Agent Governance?