Cybersecurity in the AI Era: Insights from Unit 42's Kyle Wilhoit, Director of Threat Research

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Join us on the latest episode of Threat Vector to dive into the evolving world of AI in cybersecurity with Kyle Wilhoit, director of threat research at Unit 42. The podcast also touches on the threat research published by Unit 42 regarding the unique characteristics of Medusa ransomware with Unit 42 researchers Doel Santos, principal threat researcher, and Anthony Galiette, senior malware reverse engineer.

This thought-provoking discussion, hosted by David Moulton, director of thought leadership at Unit 42, focuses on the current state and future trends of AI in cyberthreats. Discover how AI is reshaping the landscape of cyberattacks, the role of generative AI in threat actor tactics, and the challenges of attribution in AI-driven cyberattacks.

Wilhoit shares his perspectives on the notable use cases where adversarial AI techniques have been employed and how cybersecurity professionals can adapt to these emerging challenges. Learn about the balance between targeted and non-targeted AI-driven attacks and the strategies being developed to counteract them effectively.

The conversation then shifts to new research on Medusa ransomware, with experts Santos and Galiette, offering a snapshot of the threat intel they published on the Unit 42 Threat Research Center. Their research exposes how Medusa employs sophisticated methods for propagation and evasion, a unique multi-extortion strategy, transparently pressurizing victims with online ransom demands, and a detailed breakdown of Medusa ransomware's operations and the proactive protective measures suggested by Palo Alto Networks.

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Unit 42 Threat Vector is the compass in the world of cyberthreats. Hear about Unit 42’s unique threat intelligence insights, new threat actor TTPs, real-world case studies, and learn how the team works together to discover these threats. Unit 42 will equip listeners with the knowledge and insight to proactively prepare and stay ahead in the ever-evolving threat landscape.

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