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Analyzing the Black Box: A Crash Course in AI-Native Cybersecurity

Uncover the mechanisms behind AI-powered cybersecurity in Chapter 9 of our Convergence of AI + Cybersecurity web series.
Analyzing the Black Box: A Crash Course in AI-Native Cybersecurity

As AI becomes increasingly integral to cybersecurity, understanding its intricacies is more critical than ever.

In Chapter 9 of The Convergence of AI + Cybersecurity series, Abnormal’s Head of Machine Learning, Dan Shiebler, was joined by AI expert Dr. Rumman Chowdhury to demystify the so-called "black box" of AI-driven cybersecurity.

In this insightful webinar, our experts in AI ethics and security explored how AI algorithms make decisions, the potential risks of opaque AI models, and strategies for ensuring transparency and accountability in AI-powered cybersecurity solutions.

Watch this on-demand webinar to learn:

  • Essential concepts and tools needed to navigate the complexities of AI
  • How to build a hybrid security model using AI automation and human oversight
  • Key considerations for scaling and future-proofing AI solutions
  • And more!

Fill out the form to view the webinar.

Speakers

Dr. Dan Shiebler

Abnormal Security

Dr. Rumman Chowdhury

Responsible AI Fellow

Harvard University

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After viewing this resource, you are eligible for 1 CPE credit through ISC2.

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