Dymium is a data-centric, zero-trust platform that provides real-time governed access to enterprise data. It acts as a security and governance layer between AI systems, applications, analytics tools, and enterprise data sources. Core Architecture: - The platform operates via a "Ghost Layer" — a control plane that intercepts every data request and applies access policy before data is returned - Three enforcement components: GhostDB (database access), GhostAPI (API access), and GhostMCP (model context protocol access) - Data remains at the source with no copying, staging, or replication (zero-copy architecture) Access Control: - Evaluates each request based on identity, role, and context - Supports column-level redaction, obfuscation, and field-level filtering - Provides just-in-time, just-enough access per request rather than static role assignments Use Cases: - Agentic AI and LLM: Governs what data AI agents and language models can access during inference, prevents sensitive field exposure - GenAI/Copilots: Controls live production data access for generative AI features, prevents data leakage into models - Analytics and BI: Delivers governed data to reporting tools without creating copies or running pipeline jobs - Applications: Embeds role-based, multi-source governed data into customer-facing apps and APIs Compliance: - Every access request is logged and policy-checked in real time - Supports GDPR, HIPAA, and the EU AI Act - Designed to be audit-ready by default Target Users: - Data and AI teams, AI/product teams, security and risk teams, privacy and compliance teams