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# Why AI Agent Security Demands Intent Detection, Not Just Prevention
- URL: https://adjacent.media/signals/why-ai-agent-security-demands-intent-detection-not-just-prevention/
- Published: 2026-09-01T16:16:26.000Z
- Updated: 2026-09-01T16:16:26.000Z
- Description: Traditional cybersecurity’s reactive model—detect, investigate, respond—breaks down when autonomous agents execute decisions in milliseconds without human approval.
- Author: Jonathan Greene
- Tags: #signal, theme-ai, ai safety, ai security, ai alignment

Source: [Featured Blogs - Forrester](https://www.forrester.com/blogs/intent-is-the-new-epicenter-of-agentic-security/?ref=adjacent.media)

Traditional cybersecurity's reactive model—detect, investigate, respond—breaks down when autonomous agents execute decisions in milliseconds without human approval. Forrester argues that security teams need to shift upstream to understanding and constraining agent intent before action, which requires mapping decision logic and threat models that don't yet exist in legacy infrastructure. This changes who owns security (AI engineers and product teams, not just InfoSec) and what gets audited (the reasoning layer, not just network traffic).