Managing AI Risk: Governance and Security Strategies from a CISO's Desk | C|CISO Webinar

AI adoption is accelerating across industries, and so is the risk. From data poisoning and model manipulation to regulatory non-compliance and ethical concerns, managing AI risk requires a structured, governance-first approach that most organizations are still building.

In this session, Bob Fabien Zinga, former CISO at Santa Clara University and Information Warfare Commander in the U.S. Navy Reserve, delivers a practical CISO-level perspective on operationalizing AI governance, embedding security controls across the AI lifecycle, and aligning innovation with enterprise risk management.

This is Session 2 of a 3-part C|CISO webinar series on AI risk and cybersecurity leadership.

Key Takeaways:

-Identifying key AI risks, including data poisoning, model abuse, and adversarial attacks

-Implementing governance-driven AI security frameworks

-Embedding security controls across the AI lifecycle

-Aligning AI risks with compliance and security standards

-Strengthening AI incident response and root cause analysis

-Balancing innovation with secure and responsible AI adoption

-Enabling cross-functional collaboration for AI risk management

Speaker: Bob Fabien Zinga, former CISO at Santa Clara University and Information Warfare Commander in the U.S. Navy Reserve, is an expert in AI governance, enterprise risk management, and boardroom-level cybersecurity strategy. https://bit.ly/4ag6swI

About C|CISO: C|CISO is the gold standard program for cybersecurity professionals stepping into CISO-level leadership. Built around real-world executive challenges, it combines strategic business scenarios with AI-driven cybersecurity leadership insights to prepare professionals for roles such as CISO, Head of Cybersecurity, and Security Director.

Learn more: https://bit.ly/45u7cv6

Register for our upcoming webinars: https://www.eccu.edu/

Webinar Topic Slide – 0:00-0:04
Introduction of Keynote Speaker - 0:05- 3:24
Speaker's Presentation – 3:25- 2:02:30
Engaging Q&A Session –2:02:31- 2:17:18
Thank You Message –2:17:19- till end

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