Which control should organisations prioritise first when extending identity security to AI agents and SaaS applications?

Why This Matters for Security Teams

The first control is not a scanner, a vault, or a policy engine. It is a reliable inventory of identities, apps, and credentialed access paths across AI agents and SaaS. Without that baseline, privilege reduction becomes guesswork and monitoring produces noise. In agentic environments, the problem is sharper because autonomous software can call tools, chain requests, and expand access in ways that are not obvious from static role design.

Current guidance suggests starting with visibility because the attack surface is usually larger than teams expect. NHIMG’s State of Non-Human Identity Security found that only 1.5 out of 10 organisations are highly confident in securing NHIs, while 85% lack full visibility into third-party vendors connected via OAuth apps. That is a governance failure before it is a tooling failure. The same pattern appears in agentic AI, where the OWASP Agentic AI Top 10 and the NIST AI Risk Management Framework both emphasize governance, context, and risk-aware controls before optimisation. In practice, many security teams encounter overreach only after an OAuth app, service account, or agent has already moved data or escalated access.

How It Works in Practice

Organisations should treat “who or what can act” as the primary question, then layer control around the highest-risk paths first. For SaaS, that means mapping OAuth grants, service accounts, API keys, and delegated admin paths. For AI agents, it means inventorying workload identities, tool permissions, and the endpoints each agent can invoke. The practical goal is to identify standing access, excess privilege, and unused credentials before attempting to enforce tighter controls.

At this stage, a useful operating pattern is:

• discover every identity type, including human, workload, service, and agent identities;
• classify access by sensitivity, external exposure, and privilege level;
• prioritise revocation or review of long-lived secrets and dormant OAuth grants;
• apply just-in-time provisioning where a task truly needs elevated access;
• monitor for anomalous token use, unusual tool chaining, and lateral movement.

That sequence aligns with NHIMG guidance in the Ultimate Guide to NHIs, which shows how frequently secrets remain valid long after compromise is suspected. It also fits emerging agentic security practice described in the CSA MAESTRO agentic AI threat modeling framework, where runtime context matters more than static labels. In policy terms, that means moving from role-only decisions to context-aware authorization, ideally with policy-as-code and workload identity proofs. These controls tend to break down in highly integrated SaaS estates because delegated access is distributed across many tenants and logs rarely provide a single authoritative source of truth.

Common Variations and Edge Cases

Tighter inventory and approval controls often increase operational overhead, requiring organisations to balance faster automation against stronger governance. That tradeoff is real when teams support many SaaS apps, ephemeral agents, and partner integrations, especially where business units self-provision tools.

Best practice is evolving on how far to push central control in these environments. For some workloads, full pre-approval is unrealistic, so current guidance suggests starting with discovery, tagging, and risk tiering instead of trying to block every new integration. Agentic systems add another wrinkle: a tool-approved agent may still behave unpredictably at runtime, so static RBAC alone is insufficient for high-trust actions. Runtime authorization, short-lived credentials, and workload identity verification become more important than the original role description.

There is also a practical distinction between SaaS governance and agent governance. SaaS often fails through excess OAuth scope and forgotten tokens, while agents fail through goal drift, chained tool calls, and overbroad execution rights. NHIMG’s 52 NHI Breaches Analysis shows why this matters operationally: the weakness is usually not one broken control, but a sequence of small gaps that let attackers or misconfigured automation accumulate privilege. The safest prioritisation remains the same: inventory first, then reduce standing access, then add monitoring and response. That order is especially important when third-party OAuth apps and autonomous agents share the same backend services.

Related resources from NHI Mgmt Group

• Should organisations prioritise external exposure or internal credential governance first?
• Should organisations prioritise IGA or identity security first?
• Should organisations prioritise remediation or discovery first in SaaS security?
• Should organisations prioritise tool scoping or skill governance first for AI agents?