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, it functions as a signal layer that observes key surfaces and feeds intelligence to downstream security, data, and AI platforms. The platform covers four primary observation areas: - Websites and public-facing applications: detects what data AI-enabled customer-facing apps collect and where it flows, including third-party SDKs and integrations - Devices and databases: maps sensitive data sources and downstream integrations to generate AI data exposure and eligibility signals - Codebases and pipelines: analyzes code pre-production to surface AI data exposure and third-party integration risks before deployment - AI models (pre-production): generates risk signals from model testing, validation, and red-teaming Zendata produces four types of signals: data collection signals, data flow and exposure signals, sensitive data and AI eligibility signals, and platform-ready AI risk signals. These signals are designed to be consumed by security platforms, data platforms, and AI platforms to apply guardrails. The platform emphasizes shift-left detection by identifying AI data exposure risks before systems reach production, and cross-layer visibility across applications, data flows, and model validation. It is positioned for use in financial services and e-commerce sectors.