The webinar will be live on November 18 at 12pm EST / 9am PST
Most AI in GRC stops at the summary. A tool reads the evidence and writes a paragraph. Then the team still has to work out whether the control passed, what’s missing, and who needs to act. Useful intelligence goes further. It weighs evidence in context, says plainly what it doesn’t know, and points to the right next step. The accountable person still makes the decision.
Join Michael Rasmussen, the GRC Pundit and the analyst widely credited with first defining GRC, and Trustero Head of GRC MJ Raber. They’ll look at what AI looks like when it’s doing real GRC work. Michael will frame the discussion with his GRC 7.0: GRC Orchestrate research. Then he’ll respond to worked examples from Trustero as they happen on screen.
The session will cover:
- What separates real intelligence from an automated summary
- Continuous control monitoring, from scheduled evidence collection to a supported conclusion, including what happens when the evidence doesn’t match
- How practitioners use playbooks to direct AI agents by setting the objective, the inputs and the decision points
- Following one vendor assessment through missing evidence and an exception to a documented decision
- What buyers should evaluate in AI for GRC, and which outcomes to measure
The session closes with Michael’s assessment of what the examples show and where he thinks AI-driven GRC is headed.