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AI in Cybersecurity: Balancing Peril and Promise

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Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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"AI Cybersecurity: The Good, The Bad, and The Ugly," explores the multifaceted impact of Artificial Intelligence (AI) on the cybersecurity landscape. It comprehensively details how AI acts as a powerful defensive tool, enhancing proactive threat detection, automating security operations, and improving granular defense mechanisms like identity management and malware detection. Conversely, the source also illuminates the weaponization of AI by malicious actors, enabling hyper-realistic social engineering attacks (including deepfakes), the creation of autonomous and adaptive malware, and direct adversarial attacks on defensive AI systems themselves. Finally, it addresses the complex ethical and systemic challenges arising from AI's integration, such as the "black box" problem, algorithmic bias, and the inevitable acceleration of a cyber arms race, advocating for robust governance and strategic preparedness for a future dominated by AI agents.

  continue reading

117 episodes

Artwork
iconShare
 
Manage episode 492606955 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

"AI Cybersecurity: The Good, The Bad, and The Ugly," explores the multifaceted impact of Artificial Intelligence (AI) on the cybersecurity landscape. It comprehensively details how AI acts as a powerful defensive tool, enhancing proactive threat detection, automating security operations, and improving granular defense mechanisms like identity management and malware detection. Conversely, the source also illuminates the weaponization of AI by malicious actors, enabling hyper-realistic social engineering attacks (including deepfakes), the creation of autonomous and adaptive malware, and direct adversarial attacks on defensive AI systems themselves. Finally, it addresses the complex ethical and systemic challenges arising from AI's integration, such as the "black box" problem, algorithmic bias, and the inevitable acceleration of a cyber arms race, advocating for robust governance and strategic preparedness for a future dominated by AI agents.

  continue reading

117 episodes

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