Trajeckt: a fail-closed gateway that enforces what AI agents can do (~1.6ms) (traject.tamor.ai)

Trajeckt has introduced a groundbreaking tool designed to enforce compliance across AI agents' execution trajectories, addressing a significant gap in current guardrails that only evaluate actions individually. This novel approach enables enforcement at runtime, thwarting potentially harmful actions before they can occur by analyzing the entire sequence of planned actions. With a response time of approximately 1.6 milliseconds, Trajeckt provides a swift mechanism to enhance the safety and reliability of AI operations. The significance of Trajeckt lies in its ability to transform execution data into a structured evidence layer that includes live feeds, policy states, and replay histories, which can be leveraged to improve future AI runs. Acting as a gateway compatible with various existing systems like MCP or OpenAI tools, it requires minimal configuration changes for integration. This enhances agent observability and governance, enabling organizations to not only see what has occurred during an AI's decision-making process but also enforce desired outcomes and facilitate ongoing improvement in performance. By turning trajectories into operational intelligence, Trajeckt positions itself as a crucial tool for advancing safe AI deployment.