Growth of machine agents and tighter regs drive controls; winners guard runtime access with least privilege, strong auth, and wide connector coverage.
Context: Keycard | Unified Identity Infrastructure for AI Agents








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Effective deployment hinges on consistent federated-claim semantics across identity providers, but the report highlights interoperability and cross‑provider claim semantics as operational challenges. This brittleness can undermine uniform policy enforcement and increases integration risk in multi‑IDP environments youtube.com.
Edge-enforced checks and continuous policy evaluation introduce practical trade‑offs around latency and edge policy scaling, which can erode the performance benefits needed for high‑throughput agent interactions. These scaling and latency frictions raise ongoing operational costs and reliability risks at the edge youtube.com.
The model relies on high‑quality, timely telemetry to drive continuous access evaluation and risk‑based revocation; the report flags telemetry fidelity for risk decisions as a key concern. Incomplete or noisy signals can lead to incorrect real‑time revocations or continued access, weakening the intended security gains of CAE youtube.com, learn.microsoft.com.
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