Subscribe to the Non-Human & AI Identity Journal

Runtime Trust

Runtime trust is the idea that access should remain valid only while current context justifies it. Instead of trusting a setup decision indefinitely, teams continuously re-evaluate whether a workload or agent still deserves privilege. This approach is especially important for AI agents that can change behaviour mid-task.

Expanded Definition

Runtime trust describes a security posture where privilege is treated as conditional, not permanent. For NHI, that means a service account, workload, or Agent keeps access only while current signals such as task scope, destination, policy, device state, and risk context still justify it. In practice, this aligns with zero trust Architecture as described in NIST Cybersecurity Framework 2.0 and related zero-trust guidance.

The term is increasingly used in agentic AI security, but definitions vary across vendors. Some tools mean token renewal based on session health, while others mean continuous policy evaluation for each action. NHI Management Group treats runtime trust as an operational principle: trust must be re-checked during execution, not only at login, deployment, or initial approval. That distinction matters when an Agent changes behaviour mid-task, starts calling new tools, or inherits broader data access than originally intended.

The most common misapplication is assuming a one-time approval at deployment time is enough, which occurs when teams grant standing access and never re-evaluate it during execution.

Examples and Use Cases

Implementing runtime trust rigorously often introduces additional policy checks and telemetry dependency, requiring organisations to weigh lower blast radius against more complex execution paths.

  • A customer support Agent can open a billing record only while a live case is active, then loses access when the case closes or the request shifts outside the approved workflow.
  • A CI/CD workload can retrieve Secrets only from a signed pipeline run on a trusted runner, with access revoked if the build context changes unexpectedly.
  • A machine-to-machine API session can be re-authorised when the workload moves to a new environment, rather than continuing with the same token for hours.
  • A privileged automation script can perform one remediation action under Ultimate Guide to NHIs guidance, then must re-request access for the next step.
  • A platform team can combine runtime trust with NIST Cybersecurity Framework 2.0 controls to require step-up verification when risk indicators rise during a session.

These patterns are strongest when a workload is expected to behave predictably but still needs guardrails for drift, escalation, or compromised inputs. They are weaker when teams treat runtime trust as a replacement for design-time identity governance instead of a complement to it.

Why It Matters in NHI Security

Runtime trust closes a gap that static identity controls cannot solve on their own. Many NHI incidents happen because credentials stay valid long after the original need has disappeared. In the Ultimate Guide to NHIs, NHI Management Group reports that 97% of NHIs carry excessive privileges, which makes post-approval access especially dangerous when an Agent or workload is compromised mid-session.

This is why runtime trust is closely related to least privilege, just-in-time access, and Zero Standing Privilege. A control may look correct at onboarding but still fail operationally if the identity keeps access after its context changes. That risk is amplified when secrets are long-lived, when token scopes are broad, or when access decisions are not continuously re-evaluated against observed behaviour. In governance terms, runtime trust turns identity from a static record into an active policy decision.

Organisations typically encounter the need for runtime trust only after an Agent starts reading data it should no longer see or after a token is reused outside its intended context, at which point runtime trust becomes operationally unavoidable to address.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.

Framework Control / Reference Relevance
NIST Zero Trust (SP 800-207) Section 3 Zero Trust requires continuous verification rather than one-time implicit trust.
OWASP Non-Human Identity Top 10 NHI-01 NHI guidance emphasizes least privilege and reducing standing access for non-human identities.
OWASP Agentic AI Top 10 A1 Agentic AI guidance addresses tool-use risks when an agent's context or intent changes.

Re-evaluate NHI access during execution and deny privilege when context no longer supports it.