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AI Explained: Governing AI That Keeps Evolving

August 6, 2026
10:00AM PT / 1:00PM ET
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This webinar has been cancelled at this time due to unforeseen circumstances.
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Enterprises have run GRC programs for decades, yet nobody agrees on what AI governance means. Security, observability, and identity each get the label, and the goalposts keep moving as AI systems and their use cases evolve. Join Maryam Ashoori, PhD, VP of Product and Engineering for watsonx.governance at IBM, for a conversation on the future of AI governance and the open challenges enterprises are working through right now.

What you'll learn:

  • Why enterprises can only govern the AI they can see, and how shadow AI keeps agents and models out of view
  • How third-party risk, business continuity, and AI regulation are reshaping what control means while the rules are still being written
  • What accountability means when teams can't reliably predict what an agent will touch, or how far a mistake travels, until it runs

AI Explained is our AMA series featuring experts on the most pressing issues facing Agentic and AI teams.

Featured Speakers
Maryam Ashoori
VP of Product and Engineering
at
IBM watsonx.governance
Maryam Ashoori, PhD, is VP of Product and Engineering for watsonx.governance at IBM, where she leads the teams building IBM's platform for governing AI models and agents across the enterprise. Before this role she headed product for watsonx.ai, led engineering for Lyft's bikes and scooters operations, and spent six years at IBM Research working on emerging technologies including AI and quantum computing.
Krishna Gade
Founder and CEO
at
Fiddler AI
Krishna Gade is the Founder and CEO of Fiddler AI, where he is building the control plane for AI systems — helping enterprises monitor, evaluate, and control models and autonomous agents in production. Previously, he time at Microsoft working on search ranking for Bing, and later led data and machine learning teams at Twitter and Pinterest. He is most known for his work on AI Explainability at Facebook/Meta and these days he is now focused on making AI systems trustworthy, scalable, and production-ready for the enterprise.