Context Data

Context Data: InterLock is a proxy for AI agents that authorizes requests to databases and APIs, redacts sensitive data, holds risky writes, and audits all actions.

InterLock acts as a proxy between AI agents and an organization's databases, files, and APIs. It requires no changes to existing code, functioning instead by routing agent connections through its infrastructure. The system authorizes requests based on specific roles and policies, masking personal data in responses and redacting columns before the agent accesses them. It classifies writes by risk, requiring human approval for sensitive database operations like unbounded deletes or schema changes. Every request is recorded in an append-only audit log. The software supports protocols including Model Context Protocol (MCP), the Postgres wire protocol, and HTTP, connecting to sources like PostgreSQL, MySQL, and Amazon S3.

Context Data at a glance

Best for: Software engineer, Director
Runs on: self-hosted
Pricing: Paid
Released: January 2024
Category: AI coding tool
Website: contextdata.ai

Key features

Role-based access control per table and column
Automatic redaction of personal data in query results
Approval workflows for risky write operations
Append-only audit logs for all agent requests
Support for Postgres, MySQL, and S3 protocols
Integration with Model Context Protocol (MCP) clients
Rate-limiting for connected AI agents

Use it for

Granting AI agents secure access to production databases
Auditing AI agent interactions with sensitive data
Restricting agent write permissions on production schemas
Masking PII when agents query production tables

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