Runtime Derived Scope

The actual set of prompts, data sources, tools, and delegated identities an AI agent used during execution. It is broader and more accurate than static deployment manifests because it reflects what the agent really consumed and invoked in production.

Expanded Definition

Runtime Derived Scope is the authoritative view of what an AI agent actually touched during execution: prompts received, data sources queried, tools invoked, and delegated identities used. It is broader than a deployment manifest or policy baseline because it captures runtime behavior rather than intended design. In NHI security, this matters because an agent may inherit access, call downstream services, or pivot into data sources that were never obvious from static configuration alone. The concept is still evolving in the industry, and no single standard governs this yet, but it is closely aligned with the intent of the OWASP Non-Human Identity Top 10 and the access governance discipline described in Ultimate Guide to NHIs — Key Challenges and Risks. Runtime Derived Scope becomes the practical record for answering “what did the agent really do?” after execution, not just “what was it allowed to do?” The most common misapplication is treating static allowlists as sufficient scope evidence, which occurs when teams assume deployment-time permissions fully describe production behavior.

Examples and Use Cases

Implementing Runtime Derived Scope rigorously often introduces logging and correlation overhead, requiring organisations to weigh observability and forensic value against latency, storage, and privacy constraints.

• An agent summarizes customer tickets, but runtime logs reveal it also queried a billing API and a CRM export, expanding the true scope beyond the original workflow.
• A code-assist agent is configured for a sandbox repository, yet execution telemetry shows delegated access to a production secrets path, which must be captured in scope reporting.
• An internal support agent uses a vendor LLM plus a temporary service token; the runtime scope documents the prompt content class, external model call, and the short-lived credential chain.
• An autonomous remediation agent invokes a container registry, a ticketing system, and a change-management API, making runtime scope necessary for audit reconstruction and incident review.

For implementation patterns, teams often compare this with identity-centric telemetry in the Ultimate Guide to NHIs and with execution boundaries discussed in the OWASP Non-Human Identity Top 10. The goal is to reconstruct the live chain of prompts, tools, and delegated identities without relying on what the agent was merely expected to use.

Why It Matters in NHI Security

Runtime Derived Scope is critical because NHI risk often materializes through drift between intended access and actual use. If an agent can reach a sensitive API at runtime, then the exposure exists even when the design review looked clean. This is especially important for secrets, delegated tokens, and ephemeral credentials, where a short-lived authorization path can still enable high-impact action. NHIMG research shows that 96% of organisations store secrets outside secrets managers in vulnerable locations, and 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, underscoring how quickly hidden runtime access paths become an incident surface. That operational reality is why runtime scope should be examined alongside the Microsoft SAS Key Breach and the Replit AI Tool Database Deletion, both of which show how agentic execution can outrun static assumptions. Organisations typically encounter the need for runtime scope analysis only after an agent incident, at which point the term becomes operationally unavoidable to address.

Related resources from NHI Mgmt Group

• How should organisations govern AI systems that can change scope at runtime?
• Runtime Scope Drift
• Runtime scope
• Runtime Action Scope