A runtime access evidence gap exists when an organisation cannot show what an AI agent actually accessed while it was running. The gap appears when policy exists on paper but logs, inventories, and approval records do not line up with live behaviour.
Expanded Definition
A runtime access evidence gap is not just missing logs. It is the breakdown between what an AI agent or service account was authorised to do and what it actually touched while executing. In practice, the gap appears when approvals, inventories, secret stores, and access policies all exist, but no one can reconstruct live runtime behaviour with enough fidelity to prove scope, sequence, or duration. That distinction matters in NHI security because runtime access is the evidence layer that validates whether policy was followed, not merely declared. Guidance varies across vendors, but the core control expectation is consistent with OWASP Non-Human Identity Top 10 and NIST SP 800-53 Rev 5 Security and Privacy Controls: you need auditable traceability for identity use, privilege use, and secret use during execution.
The most common misapplication is treating static access review records as proof of runtime behaviour, which occurs when organisations assume approval equals observed access.
Examples and Use Cases
Implementing runtime evidence rigorously often introduces telemetry and correlation overhead, requiring organisations to weigh stronger assurance against additional engineering and storage cost.
- An AI coding agent receives repository access for a single task, but runtime evidence shows it also queried issue trackers and deployment secrets, revealing a wider effective blast radius than the approval captured.
- A service account used by a data pipeline is approved through PAM, yet no session-level records exist to show which production tables it accessed during execution, complicating incident response and attestations.
- A cloud automation agent rotates credentials successfully, but without runtime traces the security team cannot confirm whether it used a privileged token outside the intended job window.
- An investigation after a suspicious API burst requires evidence from runtime logs to determine whether the agent used a delegated secret, a cached token, or an unexpected tool invocation.
- NHIMG’s Ultimate Guide to NHIs frames this as a visibility problem, while the OWASP guidance and NIST SP 800-53 Rev 5 Security and Privacy Controls point to evidence, logging, and accountability as mandatory control outcomes.
Why It Matters in NHI Security
Runtime access evidence gaps turn NHI governance into a paper exercise. If an AI agent or automation credential is compromised, defenders need to answer a basic question quickly: what did it access, when, and under which authority? Without that answer, containment is slower, forensics are weaker, and revocation decisions become broad and disruptive. This is one reason NHIMG reports that only 5.7% of organisations have full visibility into their service accounts, a statistic that aligns directly with the operational challenge of proving runtime behaviour rather than merely listing entitlements. The issue is also central to the broader risk picture described in Ultimate Guide to NHIs — Key Challenges and Risks and reinforced by breach patterns in 52 NHI Breaches Analysis.
When runtime evidence is missing, organisations cannot confidently distinguish legitimate autonomy from misuse, shadow access, or privilege creep. That uncertainty undermines Zero Trust enforcement, audit readiness, and incident scope reduction. Organisations typically encounter the operational cost of this gap only after a suspicious tool action, failed audit, or breach investigation, at which point runtime access evidence 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 CSF 2.0, NIST SP 800-63 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Covers visibility and lifecycle evidence for non-human identity use. |
| NIST CSF 2.0 | DE.CM-8 | Requires monitoring for anomalous or unauthorized activity. |
| NIST SP 800-63 | AAL2 | Assurance depends on verifiable authentication and traceability. |
| NIST Zero Trust (SP 800-207) | Policy Decision Point | Zero Trust decisions require continuous verification and observability. |
| OWASP Agentic AI Top 10 | AGENT-05 | Agentic systems need traceability for tool use and action scope. |
Instrument agent and service-account activity so runtime access can be reconstructed and verified against policy.
Related resources from NHI Mgmt Group
- What is the difference between compliance evidence and runtime access control?
- When does just-in-time access help most in DORA evidence collection?
- How can organisations reduce manual effort in access certification and evidence collection?
- Should organisations prioritise compliance certification or access evidence first?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org