The Ultimate Guide to Identity for AI for Security Leaders
AI at Scale: Identity, Access, AuditAI is no longer experimental; it’s operational. Autonomous AI agents now interact with systems, initiate transactions, and make decisions across the enterprise, from customer service to finance. As these non-human actors take on greater responsibility, one challenge becomes unavoidable: trust. AI agents may not be people, but they act with intent, authority, and impact. That means they need identity backed by governance, visibility, and accountability. Identity for AI becomes the control plane that ensures every agent action is authorised, auditable, and secure, without slowing innovation.
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This guide covers:
- Understanding agentic identity's key risks
- How agentic AI alters the IAM landscape
- Best practices for agentic AI adoption