When AI Agents Go Live: Who Controls Their Access and Credentials?

AI agents are rapidly scaling from pilot environments into full enterprise production, operating autonomously across core workflows. However, this shift introduces a massive, hidden security gap: an explosion of unmanaged non-human identities (NHIs) and exposed credentials. AI agents rely on a complex web of API keys, OAuth tokens, and certificates that are often hardcoded, orphaned, or scattered across codebases and cloud vaults. Without ownership or centralized visibility, this credential sprawl creates immediate, unmonitored exposure.

Following SailPoint’s recent acquisition of Entro Security, we have unified broad identity governance with deep, machine-level secrets management. In this session, SailPoint’s Field CTO shares practical, battle-tested strategies from enterprise AI deployments to help you secure your autonomous workforce.

Key Takeaways:
- Complete Discovery: Uncover shadow AI agents and find hidden credentials (keys, tokens, certificates) across codebases, CI/CD pipelines, and cloud environments.
- Human Accountability: Bridge the machine-to-human gap by mapping every autonomous agent and secret back to an accountable, native human sponsor.
- Active Lifecycle Governance: Implement automated access certifications, Zero-Standing Privilege (ZSP) controls, and rapid, closed-loop remediation to secure the lifecycle of machine credentials.
- Continuous Runtime Protection: Deploy continuous threat detection (NHIDR™) to monitor token behaviors, intercept anomalous agent actions, and block active exploits.