The adoption of artificial intelligence (AI) within enterprise environments has rapidly evolved, shifting from mere prototypes to become a primary driver in decision-making processes. AI systems are now actively utilized for various functions, such as drafting customer responses, summarizing internal knowledge, generating code, accelerating research processes, and automating business agent workflows.
This transformation inherently creates a complex new "security surface." This surface involves the interaction between users, sensitive proprietary data, and automated execution by AI systems. To address these challenges, AI security tools are becoming crucial in protecting the integrity and confidentiality of enterprise operations in an increasingly automated era.