WEBINAR
3 Steps to Minimize AI Data Risk, NHI Blast Radius, and Compliance Exposure
AI agents accelerate innovation – but also increase sensitive data exposure and over-privileged access risks.
In this webinar, we’ll cover AI Runtime and Data Preperation security strategies to enforce fine-grained controls over data and actions, de-identify sensitive data, and apply Zero Trust principles across AI agents and integrations—helping organizations securely move agentic AI from POC to production.
1. Enforcing “need-to-know” at AI runtime
Apply NHI privilege account minimization with context-rich real-time sensitive activity monitoring, risk and User Behaviour Analytics
2. Making sensitive data AI-ready for Preparation/RAG/Pipeline
Discover and de-identify sensitive data (tokenization, masking, filtering) before accessible by AI agents.
3. Govern AI applications
Enforce fine-grained control over data and actions—across structured and unstructured sources
- Join us to learn how to operationalize AI data governance at scale - without slowing innovation.