AI data exposure playbook

AI Data Exposure Playbook: Stop Leaks Across LLMs, SaaS & Pipelines

AI adoption has outpaced governance. Teams spin up LLM features and SaaS automation faster than traditional security can track, creating shadow AI that jeopardizes compliance and enables quiet data exfiltration through prompts, plugins, and third-party APIs.

What you'll learn:

• How to discover and map AI usage across code, cloud, and SaaS environments in real-time
• Strategies for implementing AI-aware guardrails that scale with modern development practices
• Best practices for proving compliance and scoping blast radius after AI-related incidents
• How to transform from reactive scanning to proactive AI data governance

This guide shows how leaders are using live visibility and context-aware controls to turn unknown AI risks into well-managed data assets.