Governed Data Access for AI Agents | Secure MCP Tools

Pylar provides a secure and efficient way to manage data access for AI agents. It acts as an intermediary between agents and databases, allowing users to define data access permissions, build custom tools, and maintain observability across AI deployments. This platform is designed to enhance security while simplifying the integration of AI with existing data stacks.

1. Governed Data Access

   Pylar ensures that AI agents only access the data you allow. By using SQL views, it filters sensitive information and implements row-level security, providing a controlled environment for data queries.

2. Custom Tool Creation

   Users can create custom tools from SQL views using natural language prompts or manual configurations. This feature allows for tailored solutions that meet specific business needs.

3. Integration with Multiple Data Sources

   Pylar supports connections to various databases and SaaS tools, including BigQuery, Snowflake, Postgres, and HubSpot, enabling a unified data access experience.

4. Real-time Updates

   Any changes made to SQL views are immediately reflected in the tools, ensuring that agents always work with the most current data without the need for redeployment.

5. Enhanced Security Measures

   The platform provides credential isolation and safe query abstraction, ensuring that agents do not have direct access to raw databases, thereby minimizing the risk of data exposure.

6. Observability and Analytics

   Pylar offers tools to track success rates, analyze errors, and understand query patterns, allowing users to refine their data views and tools effectively.

1. Start by connecting your data sources to Pylar.
2. Define the SQL views that will govern data access for your agents.
3. Use the interface to create custom tools based on your defined views.
4. Test your tools before publishing to ensure they meet your requirements.
5. Monitor the performance and usage of your tools through the analytics dashboard.

What is Pylar?

Pylar is a data access management platform designed for AI agents, allowing users to control what data agents can access while ensuring security and compliance.

How does Pylar work?

Pylar connects to various data sources and allows users to create SQL views that define the data accessible to AI agents. Agents query these views instead of raw tables, ensuring controlled access.

Can I integrate Pylar with my existing tools?

Yes, Pylar is designed to integrate seamlessly with various agent builders and platforms, allowing for easy deployment of tools across different environments.

What security features does Pylar offer?

Pylar provides credential isolation, view-level governance, and safe query abstraction to protect sensitive data and ensure that agents only access the information they need.

Price data is not available yet; please visit the official Pylar website for the latest pricing information.

1. Pylar effectively addresses the need for secure data access for AI agents, providing a robust framework for managing permissions and data visibility.
2. The ability to create custom tools and integrate with multiple data sources enhances its usability for various applications.
3. However, the platform may require users to have a basic understanding of SQL to fully leverage its capabilities, which could be a barrier for some non-technical users.
4. Overall, Pylar is a powerful solution for organizations looking to enhance their AI capabilities while maintaining strict data governance, but ongoing user support and educational resources could improve user experience and adoption.