The Ultimate Guide to Identity for AI

AI agents are now embedded in everything from customer service to finance operations, and they are acting on behalf of users, triggering workflows, and making decisions at machine speed. But most identity and access management systems were built for human use. That gap has real consequences: credential misuse, data exfiltration, compliance failures, and accountability blind spots that traditional IAM simply wasn’t designed to catch.

This comprehensive guide from Ping Identity is built for identity, security, and digital leaders who need to govern AI agents responsibly and at scale. It covers the full landscape: what agentic identity actually is, why it differs from both human IAM and machine identity, the four types of AI agents your organization may already be enabling, and the technical and operational frameworks required to secure every interaction — from authentication and authorization to human oversight and threat detection.

Informed by Gartner research and grounded in real implementation patterns, this guide gives both executive decision-makers and technical practitioners what they need to move from awareness to action.

What you’ll learn from this “Ultimate Guide to Identity for AI”

• What identity for AI agents is, and why it’s a fundamentally different category from machine identity and human IAM, requiring its own governance model
• The four types of AI agents (personal agents, consumer-facing digital assistants, workforce-facing digital assistants, and digital workers) and the distinct identity strategies each requires
• How agentic AI is altering the IAM landscape, including the role of Model Context Protocol (MCP), agent-to-agent protocols, and Zero Trust principles
• The key risks facing organizations without dedicated agentic identity frameworks, including credential misuse, overprivileged agents, shadow agents, and adversarial AI
• The five core capabilities identity and security teams need to govern agentic AI: visibility, onboarding and management, authentication and authorization, human oversight, and threat protection
• Best practices for agentic AI adoption, including how to delegate access without sharing credentials, enforce least privilege at machine speed, and maintain full audit trails
• What’s emerging in the identity field, from verifiable credentials and adaptive authorization to agent-to-agent protocols, and why these will shape secure AI deployment going forward

Why this Ultimate Guide to Identity for AI matters

Identity is the trust layer for the agentic era. Without it, AI agents become untraceable actors in systems that were never designed to monitor them, opening the door to credential abuse, regulatory exposure, and reputational damage. Gartner projects that by 2028, 90% of digital commerce organizations that allow humans to share credentials with AI agents will have experienced a tripling in account takeover and first-party fraud.

Getting identity for AI right isn’t a security checkbox. It’s a strategic foundation that determines how fast and how safely your organization can scale AI across customer, workforce, and partner ecosystems.

Download this ultimate guide today to build the identity framework your agentic AI programs require.

Complementary content: AI readiness

Of course, identity and access management is just one piece of the agentic AI oversight puzzle. Governance, security, and infrastructure are needed to scale agentic AI safely across customer and workforce environments.

This Are You AI Ready? executive brief outlines AI readiness and includes a framework and scorecard checklist to help you determine your organization’s level of readiness and highlight areas where improvements might be needed.