Zendata AI Governance & Data Privacy

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.