In most organizations, AI is already embedded across the enterprise, from sanctioned platforms and business applications to third-party integrations and unapproved tools. But as adoption accelerates, security readiness often struggles to keep pace.

AI introduces new risks across the technology lifecycle and expands the enterprise attack surface. Securing it requires organizations to understand where those risks exist and take a proactive approach to identifying and addressing vulnerabilities before they can be exploited.

How to Secure Enterprise AI: From Adoption to Incident Readiness provides security leaders and their teams with a practical framework that enables secure AI adoption across its lifecycle while reducing the inheritance of unmanaged risk for the organization.

Get the eBook to learn:

• Where AI risk lives within the enterprise and how AI adoption can introduce exposure through approved and unapproved tools, platforms, and integrations.
• How to secure AI across its full lifecycle with a stage-by-stage approach to identifying and addressing security risks.
• How to take a proactive approach to AI security with cyber posture assessments, governance frameworks, and adversarial testing to uncover vulnerabilities before attackers do and improve preparedness moving forward.

As AI adoption continues to expand the enterprise attack surface, organizations need security strategies that evolve with it.

Understand your AI exposure. Strengthen your AI security maturity. Prepare for what comes next.