Because they turn a single user-facing tool into a delegated access path across multiple systems. OAuth scopes, session cookies, and connector tokens can outlive the immediate task, which expands blast radius and creates unmanaged non-human access that traditional app controls rarely track well.
Why This Matters for Security Teams
Connected AI assistants are not just another application integration. They become delegated access paths that can read mail, query tickets, trigger workflows, and move data across systems on a user’s behalf. That changes the IAM problem from login control to delegated authority control. Once connector tokens, OAuth grants, and session cookies are in play, the blast radius is no longer limited to the assistant UI.
This is why the risk shows up as NHI exposure as much as identity exposure. The assistant may not look like a service account, but it behaves like one once it is authorized to act across tools. NHIMG’s Top 10 NHI Issues and Ultimate Guide to NHIs — Why NHI Security Matters Now both emphasize that non-human access often escapes the controls built for human users. Industry guidance from NIST Cybersecurity Framework 2.0 reinforces the need to understand assets, privileges, and third-party dependencies before trust is granted.
In practice, many security teams encounter unmanaged assistant access only after a connector has already forwarded data or executed an action outside the original user intent.
How It Works in Practice
Security risk increases because the assistant inherits authority from the human, then extends that authority across systems in ways the user may not fully anticipate. A connected assistant can combine OAuth scopes, cached sessions, and connector tokens to perform multi-step actions that are hard to model in traditional IAM. The core issue is not that access exists, but that access is dynamic, contextual, and often temporary in theory while persistent in practice.
Current guidance suggests treating the assistant as a workload identity with its own authorization boundaries, not as a simple feature of the end-user session. That means pairing workload identity with request-time policy evaluation, short-lived credentials, and explicit scoping for each connector. NIST’s Security and Privacy Controls support least privilege and session protection, but connected assistants require those principles to be enforced at runtime, not just in periodic reviews.
- Use separate, narrow connector grants for each system the assistant can touch.
- Prefer ephemeral tokens with short TTLs over long-lived refresh capability where the workflow allows it.
- Log the agent action, the user intent, the connector used, and the downstream object changed.
- Revoke access when the task ends, not when the user logs out of the front-end.
NHIMG research on 52 NHI Breaches Analysis shows how often non-human access becomes the real incident path once secrets and tokens are overexposed. The practical lesson is that assistant risk is cumulative: each connector expands the reachable graph, and each reused token widens the attack surface. These controls tend to break down in enterprise environments with many SaaS connectors, shared admin consoles, and long-lived OAuth refresh tokens because the assistant can silently inherit broad standing access.
Common Variations and Edge Cases
Tighter assistant controls often increase friction for users and platform teams, requiring organisations to balance convenience against the need for explicit delegation. There is no universal standard for this yet, so current guidance is evolving as vendors and defenders learn where assistant autonomy becomes operationally risky.
Some environments are especially hard to secure. In customer support, assistants may need read access to case data but not write access to billing systems. In engineering workflows, an assistant may need to open pull requests but never deploy code. In each case, the safest model is intent-based and context-aware authorisation, not static role assignment. That is consistent with the direction of agentic security work such as OWASP NHI Top 10 and NHIMG’s Ultimate Guide to NHIs — Key Challenges and Risks.
Edge cases also appear when assistants operate across multiple tenants, when a single human authorizes several assistants, or when the workflow depends on shared browser state. In those cases, a human-centric IAM model can mask the real non-human access path and make revocation incomplete. That is why many programs now pair identity governance with connector inventory, runtime approval checks, and periodic token hygiene reviews, even though best practice is still emerging for highly autonomous assistants.
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, CSA MAESTRO and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST AI RMF and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | A01 | Connected assistants expand tool access and autonomy, creating agentic attack paths. |
| CSA MAESTRO | M1 | MAESTRO addresses multi-step agent workflows and their delegated authority risks. |
| NIST AI RMF | GOVERN | AI RMF governance is needed when assistants act with delegated authority. |
| OWASP Non-Human Identity Top 10 | NHI-03 | OAuth grants, tokens, and service-like access are core non-human identity risks. |
| NIST CSF 2.0 | PR.AC-4 | Least privilege and access management are directly implicated by assistant connectors. |
Inventory assistant-issued credentials and rotate or revoke anything with excessive lifetime.
