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


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Michael is a security professional specializing in internet-scale threat analysis, malicious infrastructure tracking, and defensive signal development. His work focuses on understanding attacker provisioning patterns, correlating diverse telemetry sources, and developing practical detection methodologies against modern bulletproof hosting and hostile infrastructure. He regularly contributes to research briefs shared with industry practitioners and presents technical findings internally and to partner audiences.