Before you let AI agents loose, you’d better know what they’re capable of

Agentic AI systems introduce serious enterprise risks including loss of human oversight, prompt injection vulnerabilities, and hard-to-reverse real-world actions. Drawing on systems thinking principles, the post argues that robust API sandboxes and contract testing are the foundation for safely deploying autonomous agents. Kin Lane of Naftiko advocates using Microcks (an open-source CNCF API mocking platform) alongside OpenAPI specs and Bruno scripting to create shared, versioned mock environments where agents can operate safely before touching production. A BNP Paribas case study shows 32 squads and 500+ developers using Microcks to cut development and testing cycles by two-thirds while reducing mainframe load. Microcks now also exposes MCP endpoints, making mock APIs directly accessible to LLMs and AI agents. The core argument: enterprises must catalogue and sandbox both internal and external APIs to truly understand what their agentic systems are capable of doing.