Pylar

About Pylar

Deep Dive with Clara AI

Pylar AI is a secure data access layer designed to enable AI agents to interact safely with structured data from databases and warehouses, without granting direct raw access. By utilizing governed SQL views, Pylar converts these views into Model Context Protocol (MCP) tools, ensuring controlled and secure interactions. Positioned between AI agents and data systems, Pylar allows organizations to define accessible data, create custom tools, and maintain full visibility across deployments. Agents query data through SQL views rather than raw tables, providing robust protection for sensitive data with features such as row-level security and data filtering. Users can build MCP tools through natural language or manual configurations, which are then published via a single secure link for seamless integration with any agent builder. Pylar places a strong emphasis on security and governance, abstracting queries and isolating credentials through cloud-based Key Management Systems (KMS). By restricting access to predefined SQL views, it upholds data governance at the row, column, and PII levels, eliminating raw database access and reducing risks of data leakage. Supporting major data platforms like BigQuery, Snowflake, Redshift, and PostgreSQL, Pylar facilitates easy integration across diverse data stacks. Unified query mechanisms provide AI agents with comprehensive context, negating the need for custom integrations. Advanced observability tools offer insights into success rates, errors, and query patterns, enabling ongoing refinement. Combining security, governance, and transparency, Pylar ensures AI agents are production-ready while safeguarding critical enterprise data.