Microsoft Project Perception: How AI Agents Defend at Scale

Microsoft Project Perception public preview is live inside Microsoft Defender — here is how its multi-agent security loop actually works and why it changes everything. AI-enabled attacks surged 89 percent year-over-year according to the CrowdStrike 2026 Global Threat Report, and a single monolithic model cannot keep pace. In this video you will learn the agentic security architecture powering Microsoft Project Perception: how red, blue, and green agent teams divide attack simulation, threat triage, and automated remediation into a self-tightening feedback loop. We also break down MAI-Cyber-1-Flash, Microsoft's sparse mixture-of-experts cybersecurity model, and explain why the multi-agent AI security pattern is the design every security engineer needs to understand right now. In this video: - Why a single AI model fails at enterprise-scale cybersecurity - How red, blue, and green agent teams split and share the security workload - The continuous feedback loop that lets the system harden itself automatically - Microsoft Project Perception and MAI-Cyber-1-Flash explained simply - What the agentic AI security market growth means for developers and security teams Subscribe to Webronaq for clear, practical lessons on computer science, AI, and software engineering: https://www.youtube.com/@webronaq #MicrosoftProjectPerception #AIAgents #CybersecurityAI #AgenticSecurity #Webronaq