The AI Security Buyer’s Guide explores how enterprise AI has evolved from a productivity tool into an autonomous actor with access to sensitive data, business applications, and critical workflows. Modern AI agents can read emails, write code, query databases, and perform tasks with limited human oversight, introducing new security risks that traditional controls were not designed to address. Research from Cyberhaven Labs indicates that nearly 40% of AI interactions involve sensitive data, with employees frequently sharing confidential information through AI tools. As organizations adopt agentic AI at scale, they face growing challenges related to data exposure, unauthorized access, compliance, and governance. The guide provides a framework for evaluating AI security solutions capable of mo

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