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07/06/2026 9:15 pm
TL;DR: AI agents become risky when delegation chains expand identity beyond the original authorization, and Strata Identity argues that downhill scope reduction, RFC 8693 token exchange, DPoP proof-of-possession, and sandbox testing are the controls that keep agentic behaviour bounded. The core problem is that enterprise IAM still assumes stable, reviewable privilege, while agents can chain actions and relay tokens faster than governance can respond.
NHIMG editorial — based on content published by Strata Identity: Agentic sandboxing and downhill delegation for AI agent identity
Questions worth separating out
Q: How should security teams prevent AI agents from escalating privileges through delegation chains?
A: Security teams should make delegation one-way and scope-reducing at every hop.
Q: Why do AI agents create more identity risk than ordinary automation?
A: AI agents create more identity risk because they can choose actions, call tools, and continue execution in ways that are not fully predetermined by a fixed script.
Q: What breaks when bearer tokens are forwarded between AI agents?
A: Bearer tokens break down because possession alone becomes enough to reuse access.
Practitioner guidance
- Enforce downhill delegation rules Require every agent-to-agent or agent-to-service handoff to preserve or reduce privilege.
- Bind delegated tokens to possession Use proof-of-possession for agent credentials so that forwarded tokens cannot be replayed by another agent or service.
- Simulate escalation paths before release Test delegation cascades, token relay attacks, and scope interpreter failures in a sandbox that mirrors production permissions.
What's in the full article
Strata Identity's full blog post covers the operational detail this post intentionally leaves for the source:
- A step-by-step agentic sandbox workflow for testing escalation attempts and delegation cascades.
- Practical examples of downhill token exchange and scope reduction across agent, API, and service hops.
- A closer look at DPoP-based token binding and how it changes replay risk for forwarded credentials.
- Scenario ideas for validating agentic access before production rollout.
👉 Read Strata Identity's analysis of AI agent delegation chains and rogue access →
AI agent delegation chains and scope creep: what breaks first?
Explore further
08/06/2026 9:07 am
Delegation chains are now an identity control problem, not just an application workflow issue. The article shows how each handoff from human to agent to API can stretch the original authorization until it no longer resembles the initiating identity. That means the governance question is not whether delegation is useful, but where the chain becomes ungovernable. Practitioners should treat every extra hop as a new identity boundary.
A few things that frame the scale:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to Ultimate Guide to NHIs.
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
A question worth separating out:
Q: How can organisations test AI agent access before production use?
A: Organisations should run agentic sandbox scenarios that model escalation attempts, delegation cascades, scope creep, and token relay attacks. The goal is to expose where permissions expand, where tokens can be reused, and where services inherit too much authority. Testing should focus on actual identity behaviour, not just whether the workflow completes successfully.
👉 Read our full editorial: Agentic sandboxing and downhill delegation for AI agent identity
