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title: Project Perception - Cybersecurity at the speed of AI
description: Microsoft's Project Perception, now in preview inside Microsoft Defender, introduces an agentic AI security system built around three agent families (red,...
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# Project Perception - Cybersecurity at the speed of AI

**[John Savill's Technical Training](https://daily.dev/sources/john-savill)** · 29 min read · 1 upvotes · 0 comments

## Summary

Microsoft's Project Perception, now in preview inside Microsoft Defender, introduces an agentic AI security system built around three agent families (red, blue, green) that handle reconnaissance, incident response, and posture hardening across the full security lifecycle. Agents are called by playbooks within sessions, each running its own identity and least-privilege permissions, with full session auditability. It builds on Microsoft's earlier M-Dash multi-model agentic scanning harness and positions itself as a richer, premium alternative to Security Copilot, aiming to let AI defend against AI-powered attacks at machine speed. Billing details are not yet confirmed.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=hYjgSu-77pA>

## Questions this post answers

### What is Microsoft's Project Perception and how does it work in Defender?

Project Perception is an agentic AI security capability inside Microsoft Defender, currently in preview, that automates the full security lifecycle: simulating attacks, discovering vulnerabilities, detecting threats, investigating, triaging, and remediating. It uses three families of agents (red for reconnaissance, blue for incident response and detection authoring, green for posture hardening), each orchestrated by playbooks running within sessions, with per-agent identities and least-privilege permissions.

_daily.dev helps security engineers track how agentic AI tools like this reshape SOC workflows._

### How is Project Perception different from Microsoft Security Copilot?

Security Copilot is a simpler assistive experience without agent systems that can answer questions and help with certain tasks, while Perception is a far richer agentic system that can run autonomously across the entire security lifecycle. Perception includes everything Copilot does plus multi-agent workflows, and a bridge between the two is planned, with Perception positioned as a premium offering whose pricing has not been confirmed.

_developers comparing AI security assistants can weigh copilot versus agentic tools like perception on daily.dev._

### What was Microsoft's M-Dash multi-model agentic scanning harness for code vulnerabilities?

M-Dash was Microsoft's prior multi-model agentic scanning harness that used over 100 agents across many different models working together to outperform any single model at finding code vulnerabilities. Pointed at a git repository, it would discover vulnerabilities, debate whether each was reachable and exploitable, prove true bugs, then suggest fixes and create pull requests automatically, aiming to fix vulnerabilities before attackers exploit them.

_daily.dev keeps developers current on multi-agent code security tooling like this as it evolves into broader products._

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---

Tags: [#security](https://daily.dev/tags/security), [#cyber](https://daily.dev/tags/cyber), [#agentic-ai](https://daily.dev/tags/agentic-ai)

[View this post on daily.dev](https://daily.dev/posts/project-perception---cybersecurity-at-the-speed-of-ai-iye5jd2gm)

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