GenAI-Driven Threat Detection with Microsoft Security Copilot

📰 ArXiv cs.AI

Learn how to leverage GenAI-driven threat detection with Microsoft Security Copilot to enhance cybersecurity defenses

advanced Published 21 May 2026
Action Steps
  1. Configure Microsoft Security Copilot to integrate with existing security systems
  2. Train the Dynamic Threat Detection Agent (DTDA) using historical security incident data
  3. Deploy DTDA to continuously investigate security incidents and detect emerging threats
  4. Test and refine DTDA's detection logic using simulated attacks and real-world scenarios
  5. Apply GenAI-driven insights to inform security policy updates and enhance incident response strategies
Who Needs to Know This

Security analysts and cybersecurity teams can benefit from this technology to improve threat detection and response

Key Insight

💡 GenAI-driven threat detection can help security analysts stay ahead of evolving cyber threats

Share This
🚨 Boost cybersecurity with GenAI-driven threat detection using Microsoft Security Copilot! 🚨

Key Takeaways

Learn how to leverage GenAI-driven threat detection with Microsoft Security Copilot to enhance cybersecurity defenses

Full Article

Title: GenAI-Driven Threat Detection with Microsoft Security Copilot

Abstract:
arXiv:2605.20896v1 Announce Type: cross Abstract: Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into detection logic. This places defenders in a reactive posture, requiring constantly updated expertise across an increasingly fragmented security landscape. We introduce the Dynamic Threat Detection Agent (DTDA), an always-on adaptive agent that continuously investigates security incidents across M
Read full paper → ← Back to Reads

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