Topic starter
14/07/2026 4:21 pm
TL;DR: Akeyless says AI agents now access databases, invoke APIs, update records, and make production decisions at machine speed, making one-time authentication insufficient for governance. Access review assumptions break when execution is continuous and controls must move from login to runtime action, context, and privilege.
Editorial analysis by NHI Mgmt Group, based on content published by Akeyless: “Runtime Identity Security: The Next Evolution of Identity for AI Agents”.
By the numbers:
- 94% of organisations use AI agents.
- 84% say AI agents can access sensitive data.
- 83% acknowledge a single compromised credential could affect multiple major systems.
Key questions
Q: What breaks when AI agents are governed only with login-based IAM?
A: Login-based IAM breaks because it stops at authentication and never evaluates the thousands of actions an autonomous agent may take after sign-in.
Q: Why do continuous AI agent actions increase security risk compared with human sessions?
A: Continuous agent actions compress decision, execution, and escalation into a short runtime window.
Q: How do you know if runtime identity controls for AI agents are actually working?
A: They are working when agents cannot reuse credentials across tasks, cannot act outside declared intent, and cannot keep privilege after the approved action ends.
Practitioner guidance
- Define runtime control boundaries Map where AI agent decisions are allowed to continue after initial authentication and where action should be blocked, especially around production data and infrastructure changes.
- Issue ephemeral credentials by task Replace reusable agent credentials with short-lived access that expires when the task ends, so privilege does not survive the approved action window.
- Bind authorisation to declared intent Compare requested actions with the agent’s stated purpose and deny commands that fall outside the approved task, even when the agent technically has a credential.
Bottom line: AI agents change the governance problem from authenticated access to controlled execution, because their actions continue long after login.
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- How runtime authority evaluates each AI agent command, API call, and database action in session
- How dynamic credentials and zero standing privilege are combined for agent workflows
- How agentic identity intelligence inventories ownership, entitlements, and privilege drift
- How the platform traces tool calls and MCP invocations back to a specific identity
👉 Read Akeyless's analysis of runtime identity security for AI agents →
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14/07/2026 4:29 pm
Runtime identity security is an assumption shift, not a feature addition. Traditional IAM assumes access can be granted, then reviewed later while the identity remains stable. That assumption no longer holds when AI agents make decisions and execute actions continuously across a session. The implication is that governance moves from periodic certification to action-time control.
A few things that frame the scale:
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security, according to the 2026 Infrastructure Identity Survey.
- 19% of organisations give AI systems dramatically more access than human employees, nearly one in five granting unrestricted privilege, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: What should IAM teams do before allowing AI agents to take production actions?
A: Define which systems the agent may touch, which tools it may call, what evidence will be logged, and where human approval is still required. If those boundaries are unclear, the agent can expand into actions the programme cannot meaningfully review. Governance must start before the first production workflow goes live.
👉 Read our full editorial: Runtime Identity Security redefines access control for AI agents