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    AI for Cybersecurity: Promise, Practice, and Pitfalls


    Free Virtual Event

    November 19, 2025 | 11:00 AM EDT

    About The Event

    AI is revolutionizing the cybersecurity landscape. From accelerating threat detection to enabling real-time automated responses, artificial intelligence is reshaping how organizations defend against increasingly sophisticated attacks. But with these advancements come new and complex risks—AI systems themselves can be exploited, manipulated, or biased, creating fresh vulnerabilities.

     

    In this session, we’ll explore how AI is being applied in real-world cybersecurity scenarios—from anomaly detection and behavioral analytics to predictive threat modeling. We’ll also confront the challenges that come with it, including adversarial AI, data bias, and the ethical dilemmas of autonomous decision-making.

     

    Looking ahead, we’ll examine the future of intelligent cyber defense and what it takes to stay ahead of evolving threats. Join us to learn how to harness AI responsibly and effectively—balancing innovation with security, and automation with accountability.

    Our Speakers

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    JC
    Jeffrey Chavis, MS, DEng
    Johns Hopkins Applied Physics Laboratory, Chief Engineer, Applied Data Science Branch
    Johns Hopkins Engineering for Professionals, Johns Hopkins Applied Physics Lab

    Our Sponsor

    Partner logo

    We Are Live In

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Looking for your ticket? Contact the organizer
Looking for your ticket? Contact the organizer