Secure Public GenAI Apps and Enforce Compliant Usage

AI tools are increasingly running directly on employee devices, including AI apps, coding agents, MCP servers, and AI agent skills. Security teams need visibility into what AI tools are running across endpoints, how they are being used, and what risks they introduce.

See how enterprises build AI security business cases to reduce AI risk, address shadow AI, and enable safe, governed AI adoption at scale.

Homegrown AI applications require protection against adversarial attacks and model manipulation, with continuous visibility into user inputs, model behaviors, and data flows. Download the brief to learn how to secure these applications with real-time policy enforcement, sensitive data protection, and proactive AI threat prevention.