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25/06/2026 10:32 pm
TL;DR: AI agents now read email, query databases, call APIs, and trigger actions across enterprise systems, and Linx Security’s guide frames the market around two control points: identity and access governance, and runtime security and posture, with a Cloud Security Alliance survey finding 68% of organisations cannot reliably distinguish AI agent activity from human activity. The governance problem is no longer theoretical because the agent itself is a privileged non-human identity.
NHIMG editorial — based on content published by Linx Security: Top 11 Agentic AI Security Solutions in 2026: A Practical Guide to Securing AI Agents
By the numbers:
- 68% of organizations cannot reliably distinguish AI agent activity from human activity.
- AI agents outnumbered by 25x to 50x in modern enterprises.
- Only 5.7% of organizations have full visibility into their service accounts.
Questions worth separating out
Q: How should security teams govern AI agents that can call tools and APIs?
A: Treat each agent as a privileged non-human identity with an owner, a defined purpose, and a measurable access scope.
Q: Why do AI agents complicate existing IAM and IGA programmes?
A: Because agents act at machine speed and can chain actions without a human pausing to approve each step.
Q: What is the difference between agent identity governance and runtime security?
A: Identity governance decides what an agent may access, while runtime security decides whether the agent’s live behaviour stays within policy after execution begins.
Practitioner guidance
- Classify each agent as a non-human identity Assign owners, business purpose, and system reach to every agent you deploy, including shadow or embedded agents.
- Separate identity governance from runtime inspection Use identity controls to define what an agent may reach, then use runtime policy to inspect what it actually does inside that boundary.
- Replace standing agent access with time-bound grants Limit credentials and entitlements to the task window, and require revocation as part of decommissioning rather than as a later cleanup step.
What's in the full article
Linx Security's full blog covers the operational detail this post intentionally leaves for the source:
- The full category comparison across 11 agentic AI security platforms, including who each one fits best.
- Implementation details for identity governance, runtime protection, and enterprise consolidation approaches.
- The vendor’s feature-level breakdown of discovery scope, entitlement control, and MCP enforcement.
- Practical buying criteria for teams deciding whether to prioritize governance, runtime security, or platform consolidation.
👉 Read Linx Security's guide to the top 11 agentic AI security solutions in 2026 →
AI agent identity security in 2026: are your controls keeping up?
Explore further
25/06/2026 11:06 pm
Agent identity governance has become a control plane, not a feature set. The article is really describing a shift in where policy must live: at the identity and entitlement layer for agents, not only in application guardrails. That matters because an agent that can read, query, and act across systems behaves like a privileged non-human identity with a wider blast radius than most teams currently model. Practitioners should treat agent governance as part of core IAM and IGA design.
A few things that frame the scale:
- 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time, according to Ultimate Guide to NHIs.
- Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
A question worth separating out:
Q: When should organisations prioritise least privilege over runtime guardrails for agents?
A: Start with least privilege when the agent can reach production systems, sensitive data, or secrets. Runtime guardrails help detect unsafe behaviour, but they do not reduce the initial blast radius of excessive access. If access is broad, the first priority is to narrow it before production deployment.
👉 Read our full editorial: AI agent identity security in 2026: what practitioners need to know
