Quick Answer
Explore what public research reveals about governing AI agent actions in third-party applications. This desk study examines agent identity, access permissions, runtime security, human oversight, and audit evidence using NIST, OWASP, ISO, and Microsoft guidance to support enterprise AI governance decisions.
AI agents can connect business instructions to operations in third-party applications. When an agent uses a service identity or delegated user access to read, edit, share, or execute, the relevant security question includes both software behavior and the authority behind the action. This desk study asks which current public sources support a defensible enterprise review of such workflows. The evidence favors explicit identification, bounded permission, reviewable activity, human responsibility, and reassessment after material changes. It does not justify universal claims about incident prevalence, any named customer's security posture, or the effectiveness of a particular vendor deployment.
This is secondary research based on public documentation published or available by November 4, 2026. No enterprise interviews, new customer surveys, live integration tests, independent penetration tests, or original incident measurements were conducted for this report. Findings are literature-derived and recommendations are editorial synthesis. A cited platform feature should not be confused with proof that it has been licensed, configured, or tested within an individual organization.
Access the full resource
Complete this short form to unlock the complete content. No account or password is required.
