Securing the Autonomous Enterprise: Discover, Govern, and Protect Non-Human Identities. (Sept. 30th)
Wednesday, September 30th, 2026: 2:00 to 2:30 PM
This technical briefing breaks down how to operationalize a unified security architecture to establish clarity and control over your autonomous ecosystem.
Virtual
AI agents are rapidly moving into enterprise production, creating a blind spot for security teams relying on legacy secrets management. Current data indicates that 97% of deployed agents access confidential data, yet only 30% of organizations possess the visibility required to track these non-human identities (NHIs).
Securing this attack surface requires an identity framework that treats machine identities with the exact same governance rigor as human users.
Key Takeaways:
- Expose Hidden Non-Human Identities: Discover undocumented AI agents, rogue MCP servers, and exposed secrets across multi-cloud environments using deep lineage mapping.
- Enforce Zero Standing Privilege (ZSP): Map human accountability directly to every NHI and establish strict policies by treating autonomous agents as first-class identities.
- Deploy Active Runtime Safeguards: Monitor NHI behavior continuously to detect anomalous token activity and intercept unauthorized tool calls or prompt injection attempts.
- Unify Identity Frameworks: Integrate human and machine identity governance workflows to limit the blast radius of compromised autonomous services
Register today to learn how to implement unified control over your expanding autonomous ecosystem before legacy governance methods are outpaced.
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