How LogicGate Customers efficiently and effectively scale AI Governance
Is your organization innovating with AI faster than your GRC team can track it? Between the pressure to adopt Large Language Models (LLMs) and fragmented regulatory requirements, many risk teams feel they are playing a losing game of catch-up.
What You’ll Learn
Join us for an exclusive look at how LogicGate customers use the AI Governance Application to operationalize responsible AI. We’ll show you how to move from manual “attestations” to a centralized repository that links AI risks directly to your existing controls, policies, and third-party vendors. During the session, we’ll demo how to:
- Build a Centralized AI Catalog: Learn how to document and approve AI Use Cases and Models in one place to eliminate organizational blind spots.
- Automate Risk Assessments: See how to automatically calculate risk levels based on industry standards, data inputs, and control effectiveness.
- Shift to Continuous Insight: Discover how to integrate with AI observability platforms to monitor model drift, token usage, and other key metrics in real time.
- Map the AI Ecosystem: Learn to visualize how AI models connect to your Cyber Risks, Data Privacy Impact Assessments (DPIAs), and Third-Party Risk programs.
- Measure ROI & Performance: Move beyond simple compliance to track key usage and performance indicators that justify your AI investments.