Zendata is an AI governance and data privacy platform that generates AI risk signals across application, data, and model surfaces. Rather than owning enforcement or remediation workflows, Zendata operates as a signal layer that observes key surfaces and feeds risk intelligence into downstream security, data, and AI platforms. The platform addresses risks associated with how data is collected, shared, and exposed in AI-enabled applications. It covers four primary product areas: AI Risk Intelligence, which generates pre-production risk signals from model testing, validation, and red-teaming; Sensitive Data and AI Eligibility Signals, which classify sensitive data and assess its eligibility for AI use based on exposure paths and policy context; Pre-Production AI Exposure Analysis, which identifies data and third-party integration risks introduced through code and pipelines before AI systems reach production; and Application Data Collection and Sharing Signals, which detect what data AI-enabled applications collect and where it flows, including through third-party SDKs. Zendata observes four primary surfaces: websites and public-facing applications, SDKs and APIs, code and pipelines, and pre-production AI models. The platform is designed to integrate with existing data, security, and AI platforms without replacing them, supplying normalized and policy-aware risk signals that those platforms can act upon. Target markets include financial services and e-commerce. The platform emphasizes a shift-left approach by identifying AI data exposure risks before production deployment, reducing the need for reactive controls. Zendata is positioned to address gaps left by traditional privacy tools, particularly in the context of AI-enabled applications and data-in-use risk scenarios.