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


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Buzz about AI agents is everywhere in security. But in the SOC, trust remains the biggest barrier to adoption. Trust that AI actually brings value instead of mere vendor hype. Trust that AI SOC tools aren’t being used to replace analysts.
Analysts are right to be skeptical. Black-box automation, vague promises, and “AI replaces humans” narratives have created fear and resistance rather than real progress.
In this webinar, Chris Cochran, Field CISO and Vice President of AI Security at SANS Institute and Nathan Burke, CMO at 7AI cut through the hype to explore the truth about AI in the SOC: what you should trust, what you shouldn’t, and how to use AI in ways that actually make analysts more effective.
We’ll introduce a practical framework for separating human work from non-human work, showing where AI agents can safely take repetitive tasks off analysts’ plates – and where human judgment must remain firmly in control. Through real SOC workflows and concrete examples through customer deployments, we’ll walk through how trust in agentic AI develops over time, from simple enrichment to investigations and, where it makes sense, response.
Whether you’re just starting to explore AI or already building your own agents, you’ll leave with clear guidance on how to use AI to reduce burnout, accelerate investigations, prove value, and enable analysts to focus on the work they actually want to do – without surrendering control.


Chris Cochran is a Marine Corps veteran, cybersecurity leader, and strategist with deep expertise in threat intelligence, security operations, emerging technology, and executive leadership.
Read more about Chris Cochran