Generative AI is reshaping how businesses operate—but with innovation comes risk. For security practitioners, that means new and evolving challenges: data leakage, shadow AI, model manipulation, and compliance gaps that traditional tools just don’t catch.
This in-depth whitepaper provides a practical framework for security leaders and practitioners to safeguard GenAI usage across their organizations—balancing immediate priorities with long-term maturity.
What you’ll gain from this whitepaper:
- A blueprint for establishing cross-functional AI governance that aligns with global standards (like the EU AI Act and GDPR)
- Tactical controls for securing model integrity, managing shadow AI, and defending against supply chain threats
- Best practices for enforcing identity-first security—from just-in-time access to privileged identity monitoring
- Strategies for detecting and responding to emerging AI threats using real-time behavioral insights
- A phased roadmap to evolve from reactive posture to resilient, proactive AI security
Why it matters:
This isn’t just about protecting data—it’s about protecting trust. With AI models becoming more embedded in decision-making and daily operations, this guide shows you how to enforce ethical boundaries, maintain compliance, and respond with speed when threats emerge.
