Yatharth Gupta
CEO
Codified
Codified provides AI governance solutions to prevent sensitive data leakage from generative AI and RAG applications. The platform classifies and codifies data access policies across sources to ensure secure and scalable information retrieval. This allows teams to leverage AI insights safely without exposing PII, trade secrets, or confidential information.
- Artificial Intelligence
- Cybersecurity
- Enterprise Software
- Software Only
Updated 21 months ago
Funding
Raised to date
$4.3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Generative AI applications often expose sensitive data, leading to PII leaks, compliance violations, and security breaches. Current methods for managing data access either limit the value of AI by restricting it to public data or are time-consuming, requiring manual intervention on a file-by-file basis. This makes it difficult to balance data security with the need for AI-driven innovation.
Solution
Codified provides an AI governance solution that classifies data, codifies access policies, and secures sensitive information within generative AI applications. The platform organizes data into human-actionable categories and groups users into meaningful cohorts, simplifying access management. Codified inspects current access levels, suggests changes based on compliance and industry best practices, and exposes ACLs to generative AI applications. This ensures that AI models have the right permissions, preventing oversharing of sensitive data while still enabling access to valuable internal insights.
Target Audience
Codified targets enterprises that are using or planning to use generative AI applications and need to ensure data security and compliance.
Features
- Automated classification of sensitive information within enterprise data stores.
- Codification of data access policies based on compliance requirements and industry best practices.
- Integration with generative AI applications to enforce access control at the data level.
- User grouping into meaningful cohorts to simplify access management.
- Real-time monitoring and alerting for potential data leaks and compliance violations.
- Streamlined data organization into human-actionable categories.
- ACL exposure for each file to Generative AI Applications.