
Data-level tokenization and live policy-based access control for data, records, and AI

Data-level tokenization and live policy-based access control for data, records, and AI
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Privicore develops a data protection technology it calls the Data Control Layer, aimed at securing sensitive data at the record level rather than relying solely on perimeter or endpoint defenses. The company's core approach tokenizes data into cryptographic fragments at the point of write, distributes those fragments across independent storage locations, and requires a live policy decision from a Policy Engine before any data is reassembled and released on read. This contextual authorization considers factors such as device, location, time, behavior, classification, and mission, and can allow, deny, step up, redact, or require quorum approval for a request. The company holds a granted US patent (10,958,630 B2, filed 2016, granted 2021) covering encryption, device management, and a voting mechanism it calls Asymmetric Voting, with a second patent filing pending covering deception operations, counter intelligence, and AI-driven control. Its engine is built in Rust with a federated storage daemon in Go, and is positioned as post-quantum ready. Privicore markets its technology as additive to existing security stacks such as identity providers, endpoint tools, DSPM, and zero trust access solutions, rather than a replacement for them. It also offers governance controls specifically for AI systems, screening requests from agents, RAG pipelines, and LLMs before granting access to underlying data. Target sectors include healthcare, financial services, defense and government, and organizations building AI and drone/autonomous systems. The company delivers its technology through a network of software vendor and systems integrator partners across the United States, Europe, MENA, and South America, rather than selling directly. Founded in 2016, the company has approximately 24 employees with representation in Oslo, Belgrade, Amsterdam, Abu Dhabi, St. Louis, and Silicon Valley.