Topic: AI Governance in the Age of Autonomous Agents
Abstract: The shift from AI systems that support human decisions to autonomous agents that act independently is a significant governance challenges organizations face today. Agentic AI can plan, reason, access data, use tools, and execute actions with minimal human intervention, creating new risks around control, accountability, visibility, and regulatory compliance that traditional governance frameworks were not designed to address.
This webinar examines what it takes to govern autonomous AI agents effectively. The session will break down the distinct risks that agentic AI introduces, including excessive autonomy, unauthorized actions, data exposure, unpredictable behavior, and the complexity of monitoring multi-agent workflows at scale. It will explore how organizations can establish practical governance structures covering risk classification, identity and access management, human-in-the-loop controls, and clearly defined accountability for AI-driven decisions.
The discussion will also address how existing AI governance, cybersecurity, and enterprise risk management practices need to evolve to keep pace with increasingly autonomous systems. Attendees will leave with a clear understanding of how to build governance models that allow organizations to scale agentic AI responsibly while maintaining alignment with organizational objectives, security requirements, and regulatory expectations throughout.
Key Takeaways:
- How agentic AI is redefining effective AI governance in practice
- The specific risks introduced by AI agent autonomy and the guardrails needed to manage them
- How identity and access management (IAM), human oversight, monitoring, and approval mechanisms support responsible autonomous AI
- The role of continuous monitoring, logging, and behavioral oversight in maintaining AI agent accountability
- How to incorporate agentic AI risks into existing enterprise risk management and governance frameworks
- Defining clear accountability and ownership for actions and decisions made by autonomous AI systems
- Balancing AI innovation, autonomy, security, compliance, and business value through structured governance
- Building trustworthy, responsible, and resilient agentic AI ecosystems at enterprise scale
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 the 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 like TopicLake Insights. His distinguished executive career includes serving as Senior Vice President at Elsevier, where he transformed a USD 285 million print portfolio into a USD 385 million digital powerhouse and launched industry-standard platforms ScienceDirect and Scopus. Previously, as EVP/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 recently 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. A prolific thought leader, his notable works include Transforming Scholarly Publishing with Blockchain Technologies and AI and Doing the Charleston. He holds a BS from Seton Hall, an MBA from Lake Forest Graduate School of Management, and executive certificates from Wharton and MIT Sloan.
