Black Diamond Labs
Black Diamond Labs builds products that help teams govern, approve, and audit AI agents before they take production-impacting actions.
runtime gate
production action review
agent request
write repository changes
policy check
requires approval for protected branch
human review
approve with audit reason
execution log
record actor, tool, diff, result
Company
Black Diamond Labs builds infrastructure for teams bringing AI agents closer to production systems. The work is focused on agent safety, policy enforcement, secure execution, and auditability without adding unnecessary operational weight.
Agent safety
Policy enforcement
Secure execution
Auditability
Product
z-gateway is an early product built to help teams put runtime controls around AI coding agents and other agent workflows that can affect production-impacting tools.
A runtime safety layer for AI agents that sits between agents and production tools such as GitHub, databases, and MCP-accessible systems.
Principles
The company is built around a small set of practical beliefs about how AI agents should interact with real systems.
Agent systems need policy decisions at runtime, before sensitive tools are called and before irreversible work is performed.
Approvals should be explicit, reviewable, and designed to keep accountable operators in the loop for production-impacting actions.
Teams should be able to inspect what an agent attempted, what was approved, what ran, and what changed afterward.
Safety infrastructure has to fit into developer tools, repositories, databases, MCP-accessible systems, and existing operational workflows.
Contact
Use the company address for Black Diamond Labs inquiries. For z-gateway product support, the product support address is available separately.