Pylar – Securely connect your data stack to any AI agent

Summary: Pylar provides a governed access layer that connects AI agents to structured data sources securely. It enables defining sandboxed SQL views with enforced permissions, turning them into custom tools for any agent builder while maintaining full observability and auditability.

What it does

Pylar connects to various datasources, allowing users to create sandboxed SQL views that restrict agent access. These views are converted into MCP tools and published to any agent builder through a single control plane with monitoring and breach containment.

Who it's for

It is designed for data, platform, and security teams needing controlled, auditable AI access to sensitive structured data like Snowflake, Postgres, and CRMs.

Why it matters

Pylar addresses risks of over-querying and data leaks by enforcing scoped access and permissions, solving challenges that traditional ACLs and custom APIs cannot manage effectively for autonomous agents.