The Stakes Are High

AI adoption is accelerating. Enterprises are deploying autonomous agents for DevOps, customer support, and business-critical automation. But without identity-first security controls, these agents become high-value targets for attackers.

This guide shows how to:

• Identify and manage orphaned and unmanaged AI agents
• Prevent excessive permissions and privilege creep
• Replace static credentials and weak authentication
• Detect identity spoofing, impersonation, and prompt injection attacks
• Mitigate compliance and regulatory risks

What’s Inside

CISOs, security teams, and identity professionals will learn about the Top 10 Identity-Centric Security Risks of Autonomous AI Agents, including:

1. Orphaned and Unmanaged AI Identities
2. Excessive Permissions and Privilege Creep
3. Static Credentials and Weak Authentication
4. Identity Spoofing and Impersonation
5. Lack of Traceability and Auditability
6. Inadequate Behavior Monitoring
7. Explosion of NHIs and Secrets Sprawl
8. Prompt Injection and Malicious Instructions
9. Compromised Agents Abusing Trusted Access
10. Regulatory and Compliance Risks
    

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Why It Matters

Enterprises can’t afford to treat AI agents as second-class identities. Without proper visibility, control and  governance, they create hidden backdoors, regulatory gaps, and insider-level threats. This guide empowers security leaders to enforce Zero Trust principles for AI agents, ensuring every identity and action is authenticated, authorized, monitored, and governed.

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