Governing Anthropic AI across users, applications, and agents: A guide for security teams
Anthropic’s Claude tools and models are accelerating enterprise productivity. But as AI assistants, coding agents, and autonomous workflows connect to critical systems, they introduce a new class of risk that traditional security tools weren’t built to handle.
This guide explains how Cato AI Security helps organizations govern Anthropic AI across employee use, AI-powered applications, and agentic workflows. It covers visibility, policy control, sensitive data protection, and runtime monitoring across prompts, model interactions, connected tools, and supported agent activity.
What’s Inside:
- How enterprises are adopting Anthropic AI for everyday use, for building, and for agentic workflows
- The complete AI risk landscape: runtime threats, misconfigurations, and compliance exposure
- Why agentic AI breaks traditional trust boundaries and how that creates new attack paths across tools, data, and APIs
- How Cato AI Security delivers visibility and control: AI usage discovery, prompt and response monitoring, sensitive data and runtime protection, and agent behavior auditing
- How to deploy AI security without new infrastructure, while preserving governance and compliance
