Secure agentic AI with continuous trust
Agentic AI is introducing a new class of machine identities that can access infrastructure, APIs, and sensitive resources at machine speed. Yet many existing security models still rely on static credentials and point-in-time verification that were not designed for autonomous, continuously operating identities.
In this IDC white paper, sponsored by IBM, learn how continuous trust can help organizations inspect, protect, and govern human, machine, and agentic identities through real-time access decisions, dynamic credentials, and stronger secrets management. See how HashiCorp Vault, Vault Radar, and IBM Agent Identity can help enterprises secure and govern agentic workflows as they scale.
You'll learn:
Why agentic AI requires a shift beyond point-in-time approaches to zero trust
How dynamic, short-lived credentials can reduce reliance on static credentials and enable tightly scoped access
How HashiCorp Vault, Vault Radar, and IBM Agent Identity can support continuous trust across agentic AI workflows