On-Demand Webinar:
As organizations accelerate the adoption of Agentic AI, traditional governance and risk frameworks are struggling to keep pace. Unlike traditional AI models, agentic systems can interact with internal and external services and operate with varying degrees of autonomy. That shift introduces new operational, ethical and governance risks that many organizations are not prepared to manage.
Watch Valence Howden, Advisory Fellow and Distinguished Analyst at Info-Tech Research Group, provide an in-depth look at how Agentic AI is reshaping accountability, oversight and enterprise risk management. This session explores the emerging “Agentic Risk Gap” and why many current AI governance practices fall short when applied to autonomous systems.
In this on-demand webinar, we explore how organizations can build governance models that support innovation while maintaining the controls needed to scale Agentic AI responsibly.
You will learn:
- How Agentic AI risks differ from traditional LLM-based systems
- Why autonomous AI changes accountability and human oversight
- Where current AI governance practices fall short
- Practical ways to implement tiered, risk-based governance strategies
- How to build reliable AI systems with effective guardrails and oversight
This webinar moves beyond theory to focus on the practical governance mechanisms organizations need to manage Agentic AI effectively at scale. Watch the recording now.
