From Reactive to Proactive: How Mature Enterprises Manage AI Discovery
Watch On Demand – From Reactive to Proactive: How Mature Enterprises Manage AI Discovery
Unsanctioned AI is in your organization — and it’s already creating security exposure, compliance gaps, and ungoverned data access.
The challenge isn’t AI sprawl. It’s visibility. Shadow AI isn’t hiding in the margins — it’s embedded in your productivity tools, developer workflows, business units, and vendor stack, and most organizations only find out about it after the fact.
Join us to see what it looks like when enterprises get AI discovery right and what separates organizations managing AI risk proactively from those constantly playing catch-up.
Key Takeaways:
- Point-in-time audits aren’t enough. Understand why static snapshots fail to capture the full AI landscape — and what it truly takes to achieve continuous, real-time discovery.
- Discovery is a program, not a project. Walk away with a repeatable framework for treating AI discovery as an ongoing discipline rather than a one-time compliance checkbox.
- Meet AI where it lives. Learn practical strategies for achieving broad coverage by following AI across identities, endpoints, and user behavior — not just approved tool lists.
- Turn visibility into a governed inventory. Get a clear roadmap for transforming raw discovery data into a structured, actionable AI inventory your organization can actually manage.
- Make discovery data work harder. See how the insights from AI discovery should directly feed into and strengthen your security, compliance, and governance workflows.
