AI Everywhere. Security Nowhere.

Overview

AI adoption is accelerating faster than enterprise governance. Employees, AI applications, and autonomous agents are creating new pathways for sensitive data to leave the organization, while traditional security tools lack visibility into AI interactions. This whitepaper explores the growing AI governance gap and outlines the technical controls organizations need to secure AI adoption without slowing innovation.

Key Highlights

Why AI adoption is outpacing enterprise governance and creating new security blind spots
How Shadow AI exposes sensitive data through employee use of unapproved AI tools
The three AI risk surfaces every organization must secure: employees, AI applications, and autonomous agents
Why traditional DLP, SIEM, and firewall solutions cannot govern AI interactions at the prompt layer
The four capabilities required for effective AI governance, including Shadow AI discovery, real-time prompt protection, intent analysis, and policy enforcement
How Smart Redact protects sensitive information before it reaches external AI models while preserving employee productivity
Why audit-ready evidence and real-time enforcement are essential for HIPAA, GDPR, SOC 2, and other compliance frameworks
A practical framework for building enterprise AI governance that scales with AI adoption rather than slowing it down.

AI Everywhere. Security Nowhere.

Overview

Key Highlights

Stay Ahead in AI Security