Quick Answer
Explore what public standards, regulatory guidance, and security frameworks establish about AI agent governance. This research examines agent identity, delegated permissions, human oversight, audit evidence, risk assessment, and control testing using sources from NIST, ISO, OWASP, Microsoft, and the European Commission.
The growth of agentic workflows changes the unit of governance from an AI-generated answer to a potentially consequential action. Organizations must still assess output quality, but an agent that can interact with business systems also raises questions about permissions, ownership, evidence, and recovery. Publicly available standards and regulator materials support several practical control themes. They do not establish that every AI agent is subject to identical legal duties, that a particular vendor is compliant, or that a prescribed framework guarantees protection.
This desk study reviews first-party material from NIST, ISO, the European Commission, Microsoft, and the OWASP Gen AI Security Project, along with Intent Amplify's published service descriptions. It is a documentary synthesis. It includes no interviews, enterprise survey, original penetration test, audited client installation, control effectiveness measurement, or independent estimates of market adoption. Recommendations are labeled as proposed operating practices rather than observed organizational outcomes.
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