Enterprise AI Security

Enterprise AI security is the practice of discovering AI usage, identifying and classifying risks, governing AI activity, and preventing threats across the enterprise AI ecosystem. It covers public GenAI tools, homegrown AI applications, coding assistants, embedded AI, autonomous agents, MCP servers, skills, models, data, integrations, and workflows. Effective AI security requires continuous visibility, policy enforcement, data protection, and runtime controls to address risks such as shadow AI, prompt injection, sensitive data exposure, insecure actions, compliance violations, and excessive agency.

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