The process of resolving missing inputs after execution has already started. In AI systems, this creates a moving trust boundary because the request, the user response, and the downstream action all occur within the same session and must each be governed.
Expanded Definition
runtime context negotiation describes a session-level pattern in which an AI agent, workflow, or service begins execution before all required inputs are known, then solicits and incorporates missing context mid-stream. In NHI and agentic AI environments, that means identity, intent, and authorisation must remain valid across multiple turns, not just at initial invocation. The boundary is moving because the same session may contain the request, a user clarification, and a downstream action that updates systems or secrets. Guidance varies across vendors on how much state should be preserved, but the security principle is consistent: every newly supplied input must be re-evaluated before it can expand the agent’s authority. This is closely related to session binding, continuous authorisation, and tool-scoped least privilege, and it aligns well with the risk-based framing in the NIST Cybersecurity Framework 2.0. The most common misapplication is treating a mid-session user reply as automatically trusted, which occurs when developers carry forward the original prompt’s authority without re-checking scope or provenance.
Examples and Use Cases
Implementing runtime context negotiation rigorously often introduces more round trips, tighter session controls, and additional policy checks, requiring organisations to weigh agent flexibility against approval latency and user friction.
- An internal support agent starts a ticket triage flow, then asks the user to confirm which production system is affected before it can fetch logs or trigger remediation.
- A secrets automation agent receives an incomplete rotation request, pauses execution, and negotiates the target vault, credential type, and maintenance window before acting.
- A finance workflow agent begins drafting a payment exception, then requires a second user response to confirm the account, amount, and approver chain before calling the payment API.
- A service account provisioning assistant opens a session with minimal context, then resolves the owning team and RBAC scope before creating the identity and attaching permissions.
- In a breach review such as the Schneider Electric credentials breach, investigators often focus on whether the system preserved or expanded trust during a live interaction rather than at the initial login.
This pattern also appears in human-in-the-loop agent design, where the agent must ask for the missing detail before invoking a tool, but still enforce the same policy logic that governed the original session. In NIST Cybersecurity Framework 2.0 terms, the workflow should preserve protective outcomes even as context changes.
Why It Matters in NHI Security
Runtime context negotiation matters because it is easy to mistake conversational continuity for security continuity. In NHI systems, that confusion can let an agent inherit broad privileges from an earlier step and then use newly supplied context to perform actions the original request never justified. The risk grows when the session can touch API keys, service accounts, or infrastructure controls, since a single compromised turn may become a chain of authorised actions. NHIMG research shows that 97% of NHIs carry excessive privileges and 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, which makes mid-session control of authority especially important. The operational lesson is that every context update should be treated like a new trust decision, not a harmless continuation. This is why NHI governance, prompt-to-tool policy, and session revalidation must be designed together rather than as separate controls. Organisations typically encounter this failure only after an agent has already executed an unintended action, at which point runtime context negotiation 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 Agentic AI Top 10 and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | Agentic AI guidance addresses session state, tool use, and trust changes during multi-turn execution. | |
| OWASP Non-Human Identity Top 10 | NHI-04 | Runtime sessions can expand NHI authority if secrets and scopes are not rechecked. |
| NIST CSF 2.0 | PR.AA-01 | Identity assurance must remain effective as session context changes over time. |
Bind each session step to least privilege and re-authorise newly supplied context.
