AI Governance Starts Beneath the AI The Data and Policies Every Model and Agent Depends On

Generative and agentic AI have outpaced the assurance built to govern them. Most programs govern the visible layer, model inventories, prompts and cost, while the real risk sits one layer down: in the data, context layer policies every model and agent draws on. This webinar covers: Guardrails (i.e. Controls) in Agents' decision supply chain: Agentic systems are assembled at runtime from business objective, linking objectives with data context, translating context and prompts into output during the inference, and providing trustworthy output. How controls should be designed, executed, and monitored at every step. Integration with existing tools/applications: AI governance must connect to existing databases, GRC applications, and workflow systems to provide comprehensive risk management Policy Analytics: How policies are checked against control definition and industry framework and provide maturity score for improvements.