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


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Artificial intelligence is rapidly transforming organizations, but security and risk readiness are lagging behind. Security leaders are now accountable for governing AI in practical terms. Without clear guardrails and defensible controls, AI can introduce regulatory pressure, privacy and safety risks.


Chris Cochran is a Marine Corps veteran, cybersecurity leader, and strategist with deep expertise in threat intelligence, security operations, emerging technology, and executive leadership.
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Rob T. Lee is Chief AI Officer and Chief of Research at SANS Institute, where he leads research, mentors faculty, and helps cybersecurity teams and executive leaders prepare for AI and emerging threats.
Learn moreA proven model for reducing AI risk and establishing clear ownership. The Secure AI Blueprint is structured around three imperatives: Protect AI, Utilize AI, and Govern AI. It is designed to help security leaders safeguard critical systems, establish accountable governance, and deploy AI with confidence.

Understanding AI regulation is only the first step. Operationalizing it is the challenge. This concise infographic shows how SANS is helping shape the frameworks, standards, and policies guiding AI adoption worldwide, including OWASP, the EU AI Act, and the three-track Secure AI Blueprint model. It is built to help you connect global policy expectations to real-world security action.

“We knew we had to show that investing in people wasn’t just the right thing to do; it was the smart thing to do.”
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