Topic starter
25/10/2026 11:11 am
TL;DR: AI agent endpoint risk follows the order of allowed actions more than any single suspicious command, according to Certiv. Process tools can confirm a trusted agent is active yet still miss the harmful chain, so enforcement has to move before the next step runs.
Editorial analysis by NHI Mgmt Group, based on content published by Certiv: “Endpoint security for AI agents: what your EDR can't see”.
Key questions
Q: Why do AI agents create risk even when they stay within approved permissions?
A: AI agents can be authorised correctly and still produce harmful outcomes because permission is not the same as intent or behavioural appropriateness.
Q: How do security teams know whether an AI agent control stack is actually working?
A: Look for three things: every agent has a traceable identity, permissions are narrow enough to explain in operational terms, and actions can be audited end to end.
Q: What breaks when AI agents are not governed at runtime?
A: Without runtime governance, an agent can shift behaviour after provisioning and still execute actions that were never reviewed in context.
Practitioner guidance
- Implement pre-execution policy gates Require sensitive agent actions to be checked before they run, especially file reads, shell commands and network calls that can change scope mid-task.
- Separate process monitoring from action governance Keep EDR for process visibility, but add a distinct control layer that evaluates what the agent is trying to do next rather than only what process is active.
- Inventory where agents already have developer trust Map coding agents, their local permissions and any credentials they can reach, then treat those endpoints as governed identity surfaces rather than ordinary laptops.
Bottom line: AI agent endpoint risk is driven by ordered behaviour, not by any single suspicious command or file access.
Glossary terms: Pre-execution Policy, Action Sequence Risk, Agentic Endpoint Security
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This topic was modified 7 days ago by NHI Mgmt Group
27/10/2026 7:15 pm
Sequence is the new security boundary for AI agents. The article’s core point is that individual actions can all pass inspection while the ordered chain still creates harm. That breaks the assumption that process-level approval tells you whether behaviour is safe. For endpoint governance, the decisive question becomes whether the current task sequence is consistent with the requested intent, not whether each step is individually permitted.
A few things that frame the scale:
- A May 2025 Gartner poll of 147 CIOs and IT leaders found that 24% had already deployed AI agents, 50% were experimenting and 17% planned to deploy by the end of 2026.
A question worth separating out:
Q: Should organisations replace EDR with separate AI agent controls?
A: No. EDR still has value for process-level monitoring, detection and investigation. The better model is layered governance: EDR watches the process, while an agent-specific control governs the next action. Organisations need both because they answer different questions, and one does not substitute for the other.
👉 Read our full editorial: Why sequence-aware controls matter for AI agents on endpoints
This post was modified 7 days ago by NHI Mgmt Group