Intlabs provides a data governance platform called ORIGIN that utilizes AI and blockchain technology to ensure compliance with data residency and privacy laws while managing sensitive information. The platform enables secure access to disparate data sources, reducing the risk of financial penalties and data breaches through robust access controls and auditability.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing challenges in complying with evolving data residency, privacy laws, and data security requirements when sharing and managing sensitive information across disparate data sources. Failure to adhere to these regulations can result in financial penalties, legal action, reputational damage, and loss of trust. Managing access and ensuring data governance across diverse platforms and legacy systems adds complexity and overhead.
Solution
Intlabs' ORIGIN is a data governance platform that leverages AI and blockchain technology to enable secure access and sharing of disparate data sources while ensuring compliance with data residency and privacy laws. The platform acts as an access control and delivery mechanism, managing data security requirements for controlled unclassified information and sensitive personal data. ORIGIN unifies access to diverse data sources without centralizing data, providing access to fresh data quickly while complying with data security and residency requirements. It also provides a repeatable and auditable pipeline of approved datasets and unstructured documents to train LLMs and other next-generation AI models.
Target Audience
ORIGIN is designed for organizations that need to manage and share sensitive data across multiple systems while maintaining compliance with data privacy and residency regulations, including those in highly regulated industries.
Features
- AI-powered policy enforcement to compare data against relevant regulations and internal policies.
- Data federation capabilities to unify access to diverse data sources without central data consolidation.
- Fine-grained access control to ensure users only access authorized data and fields.
- Versioning and data provenance tracking to maintain a record of each data request and associated result.
- Distributed trust ledger and blockchain technology to create an auditable ledger of data transactions.
- Data transformation capabilities to convert data into the correct format and combine datasets.
- Integration with legacy systems, external partners, and diverse platforms.