Before You Let AI Agents Loose, You’d Better Know What They’re Capable Of
Learn how to manage agentic AI risk through systems thinking, contract testing, and sandboxes to ensure autonomous systems stay predictable.
Learn how to manage agentic AI risk through systems thinking, contract testing, and sandboxes to ensure autonomous systems stay predictable.
Learn how Commonhaus Foundation protects solo open source maintainers from burnout and security risks like XZ Utils through low-touch, agile governance.
We've been here before.
AI protocols, such as MCP and Agent Skills, are agent-first, which risks bypassing the governance, security, and access controls that enterprises have spent years building around their APIs and data.
Durable Execution helps ensure applications continue running despite failures, beyond what defensive coding and hardware redundancy can handle.
AI success hinges on designing your API landscape based on business capabilities, not resources, says API expert Kin Lane.