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AI in XDR: What it Means and Where it Fits

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AI in XDR: What it Means and Where it Fits (PDF, 1.22MB)Published: 28 Nov, 2023
Created by:
Dave Shackleford
Dave Shackleford

AI and ML can significantly augment native NDR detection capabilities.. With the maturation of XDR, the capabilities of AI-driven NDR can be extended and enhanced to accommodate endpoint security telemetry, other events within the environment, and correlation and event management tooling.

Meet the expert

Dave Shackleford
Dave Shackleford

Dave Shackleford

Senior Instructor

Cybersecurity leader Dave Shackleford combines decades of enterprise defense, cloud security, and hands-on consulting experience to help students master real-world security operations and modern threat defense.

Read more about Dave Shackleford

Additional resources

From Alert to Evidence: Evaluating AI Agents for Cyber Forensic Triage

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  • 11 Jun 2026
  • Connor Blackard

SANS AI Cybersecurity Careers Guide

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  • 28 May 2026
  • SANS & GIAC

SANS AI Vulnerability Discovery and VulnOps: What to Do Next

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  • 28 May 2026
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Secure By Design: An Exploration of the Application of Generative AI in Threat Modeling Technical Design Documents

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  • 27 May 2026
  • Mark Oswald

From Alerts to Insight: How Agentic AI Elevates Security Teams

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  • 26 May 2026
  • Cristian-Mihai VIDU

Leveraging Large Language Models for Cross-Vendor Firewall Configuration Migration: A Comparative Case Study of Claude and ChatGPT

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  • 12 May 2026
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