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SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

SEC595Cyber Defense, Artificial Intelligence
SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals
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Using AI for Source Code Vulnerability Analysis

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Using AI for Source Code Vulnerability Analysis (PDF, 1.06MB)Published: 14 May, 2026
Created by:
Joshua Wright
Joshua Wright for SEC543: AI-Assisted Source Code Analysis and Exploitation for Penetration Testers

SEC543 supplemental material: A workflow and kit for security teams directing language models to discover and exploit vulnerabilities through source code assessment.

Related webcast: SANS Critical Advisory: BugBusters - AI Vulnerability Discovery Hype vs. Reality

Meet the Expert

Joshua Wright
Joshua Wright

Joshua Wright

Fellow

Joshua Wright, Senior Technical Director at Counter Hack Challenges and author of SEC504, has spent over two decades teaching and building tools that help defenders identify and counter real-world cyber threats through practical, hands-on learning.

Read more about Joshua Wright

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