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AI and Cybersecurity Policy: Navigating Regulation and Compliance

Explore the evolving landscape of AI and cybersecurity policy in Chapter 12 of our Convergence series. Learn why transparency, collaboration, and global regulation are key to effective AI governance.

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Referenten

Michael Daniel

Former Presidential Cybersecurity Advisor & President · Cyber Threat Alliance

James Yeager

VP of Public Sector Sales · Abnormal AI

Dr. Dan Shiebler

Head of Machine Learning · Abnormal AI

Wichtige Erkenntnisse

Transparency is identified as a critical factor for building trust in AI tools among security stakeholders.

Effective AI policy requires active collaboration between government and industry to produce actionable outcomes.

Global regulatory alignment is considered essential for the long-term success of AI governance in cybersecurity.

As AI technology continues to develop, questions around how it should be regulated—and who should be responsible—remain largely unanswered.

In Chapter 12 of The Convergence of AI + Cybersecurity series, Abnormal’s Head of Machine Learning Dan Shiebler is joined by Michael Daniel, President and CEO of the Cyber Threat Alliance, and James Yeager, Vice President of Public Sector and Strategic Alliances at Abnormal, to discuss the current state of AI and cybersecurity policy.

Watch this on-demand webinar to learn:

  • Why transparency is critical for building trust in AI tools

  • How government and industry can collaborate to shape actionable AI policies

  • Why global regulatory alignment is key to long-term success

  • And more!

Fill out the form to view the webinar.

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