Topic: AI Regulation and What Security Leaders Need to Know
Abstract: Artificial intelligence is rapidly transforming business operations, cybersecurity, and decision-making, while simultaneously reshaping the global regulatory landscape. Governments and regulatory bodies are introducing AI-specific laws, standards, and governance frameworks that require organizations to demonstrate transparency, accountability, security, and responsible AI practices. For security leaders, understanding these evolving regulations is a strategic imperative that directly influences cyber resilience, enterprise risk management, and digital transformation. The current webinar explores the regulatory landscape surrounding AI and examines what security leaders need to know to prepare their organizations for compliance while enabling responsible innovation. The session will discuss the role of security leaders in securing AI systems, managing AI-related risks, protecting sensitive data, establishing governance and accountability, and responding to evolving regulatory expectations. It will also discuss practical strategies for integrating AI governance into existing security programs, fostering cross-functional collaboration, and building resilient, compliant, and trustworthy AI-enabled organizations. Join us to gain insights into emerging regulations, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, and other global governance initiatives, and understand how these frameworks intersect with cybersecurity, privacy, and operational risk management.
Key Takeaways:
- Understanding the evolving global AI regulatory landscape and its implications for cybersecurity.
- Role of security leaders in AI governance, regulatory readiness, and organizational accountability.
- Practical approach to integrating AI governance into existing cybersecurity, privacy, and risk management programs.
- How to assess and mitigate AI-specific risks, including model vulnerabilities, data protection concerns, third-party AI risks, and adversarial attacks.
- Best practices for establishing governance structures, security controls, and continuous monitoring to support compliant and trustworthy AI deployments.
- Recommendations for balancing AI innovation with security, regulatory compliance, and long-term organizational resilience.
Speaker:
Darrell W. Gunter, Managing Director of Gunter Media Group, Inc.
Bio: Darrell W. Gunter is a pioneering digital transformation executive, AI strategist, and published author with over 35 years of experience driving commercial growth in the scholarly publishing and technology sectors. As Managing Director of Gunter Media Group, Inc. and Chief Commercial Officer for Gadget Software, he spearheads go-to-market strategies for AI-powered metadata platforms, including TopicLake Insights.
His distinguished executive career includes serving as Senior Vice President at Elsevier, where he transformed a $285 million print portfolio into a $385 million digital powerhouse and launched industry-standard platforms ScienceDirect and Scopus. Previously, as EVP and CMO at Collexis, he raised $18 million in capital and grew revenues 15x, ultimately positioning the company for acquisition.
A dedicated educator and mentor, Gunter teaches Professional Sales at Seton Hall University’s Stillman School of Business, where he was honored with the 2026 Adjunct Faculty of the Year award. He also hosts the long-running radio show and podcast “Leadership with Darrell W. Gunter” on WSOU 89.5 FM. His notable works include Transforming Scholarly Research with Blockchain Technologies and AI and Doing the Charleston. He holds a BS from Seton Hall University, an MBA from Lake Forest Graduate School of Management, and executive certificates from Wharton and MIT Sloan.
