A TypeScript prototype admission layer for agents (github.com)

A new prototype admission layer called Attestor has been announced, designed to enhance control over high-risk AI-driven operations. Positioned between an AI-prepared operation and the executing system, Attestor ensures that potentially unsafe or unauthorized service calls are meticulously vetted. It evaluates factors such as policy, authority, context freshness, and evidence, returning one of four decisive outcomes: admit, narrow, review, or block. This robust decision-making process aims to provide a safety net before execution while maintaining a comprehensive record of what was checked and the rationale behind any decisions. The significance of Attestor for the AI/ML community lies in its capacity to address the evolving challenges posed by AI systems that can interact with sensitive operations like payments and data access. With AI increasingly moving beyond mere conversational capabilities into critical functional areas, a reliable gate—owned by the customer—is essential for managing risks associated with hallucinations or stale contexts. Attestor not only translates AI intent into structured decisions but also highlights operational risks in advance, ushering in a new era of accountability and security in AI deployments. This prototype is a crucial development for organizations looking to implement AI safely and effectively while ensuring compliance with existing policies.