As GenAI becomes deeply embedded in enterprise operations, fueling copilots, assistants, and automated agents, organizations face a wave of new and dynamic security risks. Traditional cybersecurity architectures are ill-equipped to address the fluidity, autonomy, and unpredictability of GenAI systems.

This analysis provides chief information security officers (CISOs) with a comprehensive roadmap to secure the enterprise adoption of GenAI technologies. It identifies key risk vectors, including prompt injection, data leakage, exploitation of Application Programming Interfaces (APIs),, model poisoning, and shadow AI, and outlines strategic shifts required to mitigate them.

• Are your teams equipped to embrace GenAI to address fluidity, autonomy, and unpredictability in today’s dynamic security space?
• What gaps should your organization address to mitigate prompt injection, data leakage, model poisoning, and shadow AI and drive growth?
• How are strategic imperatives like lifecycle-wide governance, offensive testing, and secure-by-design adoption impacting the adoption and growth of GenAI technologies in the security space?