As AI tools become mainstream in enterprises, organizations face critical security challenges around data privacy, prompt injection attacks, and model vulnerabilities. This session explores key risks in deploying AI systems, from data leakage through model responses to supply chain concerns with third-party services.

We'll examine practical strategies for secure AI integration, focusing on:

1. AI usage policies for IP protection
2. Authentication and monitoring controls
3. Prompt injection attack prevention
4. Data exposure risk management
5. Security evaluation of AI vendors
6. Employee security training

Designed for security professionals and technology leaders, this session requires no deep technical knowledge but assumes familiarity with basic security concepts and enterprise AI use cases. We'll use recent incidents as case studies to demonstrate how to develop security policies that balance innovation with risk management.