AI Data Management

Explore how organizations are storing, moving, transforming, and governing data across the AI lifecycle. This page surfaces practical frameworks for scaling data pipelines, vector databases, and more.

Trending Products

The most endorsed AI data management solutions on Sagetap, backed by real-world validation from enterprise teams.
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Secuvy.ai | DSPM
Secuvy.ai | Data Discovery & Classification | DSPM | AI Governance | Privacy See your Contracts, IP, Medical Records, Financial Statements, CUI/ITAR, Proprietary Designs, Manufacturing Datasheets, and more. Continuously. Leverage that visibility for your risk assessments, DLP (including Purview), Privacy Workflows, and LLM Inference. Secuvy is a data governance, privacy, and AI governance platform. It provides data discovery, classification, risk assessments, privacy automation, LLM guardrails, and a policy engine for integrated enforcement. It is designed to continuously maintain data-at-rest visibility, to unlock precise, low-effort data-in-transit enforcement and compliance. Traditional tools rely on static rules, manual labeling, and heavy manual oversight. Many organizations are finding these tools still result in undiscovered data, and growing downstream false positives and negatives. Secuvy takes a different approach that results in continuous, precise data clarity without the extensive ongoing effort. And it is especially effective at identifying complex, sensitive data that other tools miss. By connecting patterns and relationships across silos, it delivers a living, always-current view of your data landscape. This enables teams to secure information, maintain compliance, and manage AI risk with confidence. Secuvy transforms data management from a reactive, manual process into a proactive, self-improving system. It is the only scalable way to achieve lasting data security and privacy at enterprise scale.

Recent Initiatives

Peer-driven AI data management projects in motion, with direct access to the Sage leading each initiative.

What’s your biggest friction point in AI data management?

AI systems demand robust, real-time data pipelines — but operational hurdles remain.

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