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25/06/2026 12:26 am
TL;DR: Regulators are moving toward evidence of operational readiness for agentic AI, with Strata Identity framing the Agentic Identity Sandbox as a way to log authenticated sessions, delegated token chains, and failure recovery exercises as audit proof rather than rely on policy documents. The real shift is that governance now has to demonstrate control under pressure, not merely declare it.
NHIMG editorial — based on content published by Strata Identity: Agentic Identity Sandbox as a flight school for AI
Questions worth separating out
Q: How should security teams prove agentic AI is safe to operate?
A: Security teams should prove agentic AI safety with logged rehearsal evidence, not policy statements alone.
Q: Why do agentic AI systems need more than traditional access reviews?
A: Traditional access reviews assume privilege is stable long enough to be inspected and recertified.
Q: When does a sandbox become a governance control for AI agents?
A: A sandbox becomes a governance control when it produces auditable evidence about how AI agents behave under realistic conditions.
Practitioner guidance
- Build an identity evidence logbook Capture OIDC authentication, delegated OAuth calls, tool invocation, and policy decisions as a single trace that can be handed to audit or regulatory reviewers.
- Rehearse failure states under load Test idp failover, token propagation errors, and policy enforcement breaks during active orchestration so you can see where autonomous workflows lose traceability.
- Separate policy design from proof of operation Treat policy-as-code as the rule set and sandbox telemetry as the evidence set, then require both before any production approval for agentic workflows.
What's in the full article
Strata Identity's full article covers the operational detail this post intentionally leaves for the source:
- How the Agentic Identity Sandbox is used to rehearse OIDC authentication, MCP bridging, and delegated OAuth calls.
- Examples of the telemetry that turns rehearsal sessions into audit-ready evidence for regulators or internal reviewers.
- The aviation-style maturity model used to describe progression from early demos to enterprise-scale operations.
- How teams can use simulated crises to test recovery, traceability, and policy enforcement under load.
👉 Read Strata Identity's analysis of agentic AI readiness and identity evidence →
Agentic AI readiness proof: are your controls audit-ready?
Explore further
25/06/2026 9:21 am
Agentic AI governance is shifting from policy assertion to competency evidence. The article reflects a broader market change: regulators are unlikely to accept internal assurances when autonomous systems can act across authentication, delegation, and tool-use boundaries. What matters now is whether identity behaviour can be demonstrated under realistic stress, with logs that show what happened and when. Practitioners should treat readiness as an evidence discipline, not a documentation exercise.
A few things that frame the scale:
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which is why evidence-based identity governance is still so difficult to sustain in practice.
A question worth separating out:
Q: What should identity teams review before approving agentic AI for production?
A: Identity teams should review whether authentication, delegation, privilege, and recovery are all observable in one continuous control chain. If any step is opaque, the programme cannot prove what the agent did or whether the correct safeguards held. Production approval should depend on traceability across the full identity path, not isolated control checks.
👉 Read our full editorial: Agentic AI readiness is moving toward proof, not policy
