Notifications
Clear all
Topic starter
11/08/2026 3:16 pm
TL;DR: AI discovery, MCP gateways, workforce governance platforms, and automation tools each solve part of the agent security problem, but none remove standing credentials or validate intent at the moment of execution, according to Akeyless. The access path itself is becoming the control point, and that changes how IAM teams should think about AI agent governance.
NHIMG editorial — based on content published by Akeyless: runtime authority for AI agents and how it fits into the AI security stack
Questions worth separating out
Q: How should security teams govern AI agents that can access enterprise systems?
A: Security teams should govern AI agents as non-human identities with explicit ownership, scoped privileges, and continuous monitoring.
Q: Why are AI discovery tools not enough for agent governance?
A: Because discovery tells you what exists and how risky it looks, but it does not remove the credential that makes the action possible.
Q: What do IAM teams get wrong about MCP gateways and AI access control?
A: They often treat gateway rules as equivalent to authorisation, when they are really traffic and tool reach controls.
Practitioner guidance
- Map each AI security tool to its actual control layer Separate discovery, routing, workforce governance, orchestration, and runtime enforcement in your architecture map so you can see which layer only observes and which layer can stop execution.
- Audit whether standing credentials still exist for agent paths Review OAuth grants, API keys, connector secrets, and service credentials used by agents and determine whether they can still be reused outside the execution moment.
- Test for intent validation before production access Run scenarios where an approved agent attempts a destructive or unexpected action and verify whether the control layer can distinguish permitted tool use from unsafe request intent.
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- How the Runtime Authority layer brokers requests and mints credentials just in time for specific agent actions
- How the vendor distinguishes discovery platforms, MCP gateways, workforce governance tools, and orchestration platforms in practice
- How runtime intent checks are applied before a production action executes
- How the architecture fits alongside existing privileged access and audit pipelines
👉 Read Akeyless's analysis of runtime authority for AI agent access control →
AI agent runtime authority vs gateways and discovery tools?
Explore further
View Full Forum → | NHI Foundation Course → | Our Services →
11/08/2026 3:29 pm
Action-level enforcement is the missing identity control for AI agents. Discovery and routing tools reduce blind spots, but they do not answer the identity question that matters most: should this specific action happen at all. Once an agent can select actions at runtime, static permissioning stops being sufficient as the primary control. The implication is that agent governance must move from catalogue and oversight thinking to decision-path thinking.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems (39%), inappropriately sharing sensitive data (31%), and revealing access credentials (23%), according to AI Agents: The New Attack Surface report.
- 92% agree governing AI agents is critical to enterprise security, yet only 44% have implemented any policies to do so, according to AI Agents: The New Attack Surface report.
A question worth separating out:
Q: Who should own AI agent access decisions and lifecycle controls?
A: AI agent access decisions should be owned by the team that deploys and operates the agent, with identity governance and security functions enforcing policy and review. Ownership must be explicit because autonomous behaviour creates accountability gaps if nobody is responsible for the agent's permissions, monitoring, and offboarding.
👉 Read our full editorial: Runtime authority for AI agents: where access control actually lands
