The question changed. Can your stack answer it?
For years, identity meant one human, one login, one set of permissions. But machine identities already outnumber human identities by 109 to 1, and an AI agent can hold many contexts at once, act on behalf of several parties, and spin up or discard access in seconds. As the report puts it, “AI agent identity addresses a critical accountability trust gap in legacy security stacks.” This complimentary report explains why human-centric identity and access management can’t keep up, and what a dynamic, composite identity model actually requires.
Get the full report on:
- Why static credentials and human-centric IAM collapse under autonomous, high-speed agents
- What a composite identity model correlates at runtime: roles, purpose, intent and behavior
- Why, through 2028, “over 50% of enterprise AI initiatives will halt due to unresolved agentic identity challenges” and the controls that prevent it
- The Sample Vendors Gartner identifies with early AI agent identity capabilities
