# AI agents are an insider-risk problem, not a perimeter-security one

DevFeed: [AI agents are an insider-risk problem, not a perimeter-security one](<https://devfeed.tech/articles/ai-agents-are-an-insider-risk-problem-not-a-perimeter-security-one-15998.md>)

Original publisher: [Read original article](<https://workos.com/blog/ai-agents-insider-risk-not-perimeter-security>)

Author: WorkOS

Published: 2026-08-07T00:00:00Z

Content type: opinion

Language: en

Sources: [WorkOS Blog](<https://devfeed.tech/sources/workos-blog.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Security](<https://devfeed.tech/topics/security.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [governance](<https://devfeed.tech/tags/governance.md>), [security](<https://devfeed.tech/tags/security.md>)

## AI overview

The article argues that AI agents should be treated as an insider-risk concern because they are intentionally granted legitimate access and can act without continuous human oversight. It says the insider-risk analogy applies to access and response speed, but motive-based detection does not transfer cleanly because many agent incidents result from overeagerness rather than malice.

## Source excerpt

In AI agent governance, the analogy holds for access and response speed but breaks on motive. Google DeepMind's review of a million agent trajectories found most incidents come from overeagerness, not malice.