Accountability should sit with the team that owns the server, connector, and downstream access policy, not with the protocol itself. Organisations need clear ownership for approval, monitoring, incident response, and revocation. Without that assignment, agentic access grows faster than governance can follow it.
Why This Matters for Security Teams
When an MCP connector exposes sensitive data or actions, the real risk is not the protocol itself but the way autonomous software is allowed to inherit and exercise authority. In practice, accountability must be attached to the server owner, connector operator, and downstream access policy owner because those are the parties that can approve scope, monitor usage, revoke access, and respond to incidents. That maps closely to the control problem described in OWASP Agentic AI Top 10, where runtime behaviour can diverge from the original intent.
The issue becomes more urgent when MCP endpoints are wired into agents that can chain tools, retrieve secrets, and take actions without a human in the loop. NHI Management Group’s 52 NHI Breaches Analysis shows how fast ownership gaps turn into exposure paths once service identities, tokens, and connectors are treated as infrastructure rather than governed access points. In practice, many security teams encounter the accountability problem only after a connector has already been used to move data or trigger actions, rather than through intentional review before deployment.
How It Works in Practice
Accountability for an MCP connector should be assigned across three layers: the team running the server, the team publishing or approving the connector, and the team governing the downstream systems and data. That structure matters because connectors often act as privileged intermediaries, not passive APIs. The right question is not who built the protocol, but who can actually enforce limits on what the agent may read, write, or invoke at runtime.
Operationally, that means every connector should have an explicit owner, an approval record for tool scope, and an incident path for immediate disablement. Current guidance suggests tying connector permissions to workload identity, short-lived credentials, and policy evaluation at request time rather than relying on static role assignments. This is where identity and agent governance converge: the connector is only as safe as the identity presented, the policy applied, and the monitoring behind it. The State of MCP Server Security 2025 found only 18% of MCP server deployments implement any form of access scoping for tool permissions, which makes ownership and control assignment even more important.
- Assign a named business and technical owner for each connector and each MCP server.
- Define the exact data classes and actions the connector may access, then reject everything else by default.
- Use short-lived credentials and revocation paths so access can be cut off when behaviour changes.
- Log requests, tool calls, and downstream actions in a way that supports audit and incident response.
- Review connector approval whenever the agent’s use case, data scope, or target system changes.
Best practice is evolving toward policy-as-code and runtime authorization, but there is no universal standard for this yet. For implementation patterns, the OWASP Top 10 for Agentic Applications 2026 aligns with the need to constrain tool use, while Ultimate Guide to NHIs — Key Research and Survey Results frames why identity sprawl becomes a governance problem once machines start acting on behalf of people. These controls tend to break down when connectors are shared across multiple teams because ownership, logging, and revocation responsibility becomes unclear and delayed.
Common Variations and Edge Cases
Tighter connector governance often increases operational overhead, requiring organisations to balance speed of integration against the risk of overbroad machine access. The biggest edge case is the shared connector model, where one team builds the integration, another approves it, and a third owns the destination system. In that arrangement, accountability is only defensible if the RACI is explicit and revocation authority is unambiguous.
Another common exception is a connector that handles both low-risk lookup actions and high-risk write actions. Best practice is evolving toward separating those functions into distinct scopes, because mixed-risk tools make approval and monitoring too coarse. This matters even more in agentic environments, where an agent may later combine benign reads into a sensitive action sequence. The Ultimate Guide to NHI Security Matters Now helps explain why ownership gaps are especially dangerous once credentials, secrets, and tool permissions are treated as reusable machine assets.
There is also no universal standard for whether the protocol implementer, platform team, or application owner should carry primary accountability in multi-tenant environments. Current guidance suggests that the party with control over policy, monitoring, and revocation should own operational accountability, even if another team supplied the connector code. In practice, the cleanest answer is the one that can actually stop the action when the connector starts exposing something it should not.
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 CSA MAESTRO address the attack and risk surface, while NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | AT-03 | Agent tool misuse and runtime scope drift make connector accountability essential. |
| CSA MAESTRO | GOV-05 | MAESTRO governance covers ownership, approvals, and monitoring for agentic integrations. |
| NIST AI RMF | AI RMF governance requires accountable oversight for autonomous system impacts. |
Set clear governance, monitoring, and escalation duties for every connector that can expose data or actions.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org