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AI's impact on business [CISOP]

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Manage episode 522265348 series 2925132
Content provided by N2K Networks, Inc. and N2K Networks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by N2K Networks, Inc. and N2K Networks 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://podcastplayer.com/legal.

In this episode, Kim Jones sits down with Eric Nagel, a former CISO with a rare blend of engineering, legal, and patent expertise, to unpack what responsible AI really looks like inside a modern enterprise. Eric breaks down the difference between traditional machine learning and generative AI, why nondeterministic outputs can be both powerful and risky, and how issues like bias, hallucinations, and data leakage demand new safeguards—including AI firewalls.

He also discusses what smaller organizations can do to manage AI risk, how tools like code-generation models change expectations for developers, and the evolving regulatory landscape shaping how companies must deploy AI responsibly.

Want more CISO Perspectives?

Check out a companion ⁠⁠blog post⁠⁠ by our very own Ethan Cook, where he breaks down key insights, shares behind-the-scenes context, and highlights research that complements this episode.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

3464 episodes

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AI's impact on business [CISOP]

CyberWire Daily

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Manage episode 522265348 series 2925132
Content provided by N2K Networks, Inc. and N2K Networks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by N2K Networks, Inc. and N2K Networks 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://podcastplayer.com/legal.

In this episode, Kim Jones sits down with Eric Nagel, a former CISO with a rare blend of engineering, legal, and patent expertise, to unpack what responsible AI really looks like inside a modern enterprise. Eric breaks down the difference between traditional machine learning and generative AI, why nondeterministic outputs can be both powerful and risky, and how issues like bias, hallucinations, and data leakage demand new safeguards—including AI firewalls.

He also discusses what smaller organizations can do to manage AI risk, how tools like code-generation models change expectations for developers, and the evolving regulatory landscape shaping how companies must deploy AI responsibly.

Want more CISO Perspectives?

Check out a companion ⁠⁠blog post⁠⁠ by our very own Ethan Cook, where he breaks down key insights, shares behind-the-scenes context, and highlights research that complements this episode.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

3464 episodes

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