10 Identity Security Vendors for AI Agents: Strengths, Tradeoffs and How They Fit

The article argues that AI agents are neither traditional workloads nor human users and require a "blended identity" approach: short‑lived, runtime‑issued credentials that capture both agent and user context to solve scoping, standing access, and attribution problems. It explains why existing IAM and workload identity models fall short, describes how blended identity works in practice (policy‑evaluated, scoped credentials and full attribution logging), and offers FAQs plus an example integration with Microsoft Copilot Studio.