
AI Admissibility
Control automated and AI-driven execution before action
What it does
AI Admissibility places an external allow or deny boundary before automated execution continues. Instead of relying only on post-event scanning or self-approval inside the same workflow, it moves the decision boundary outside the workflow that is asking to proceed. Public paths today include a live pilot, a commercial request path, and a private deployment path.
Does a similar job
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- LCLimits – Control layer for AI agents that take real actionsFeb 2026 · limits.dev · ▲9
Prompt instructions like 'never do X' don't hold up in production. LLMs ignore them when context gets long or users push hard. Limits sits between your agent and the real world. Every action — database writes, API calls, refunds — gets intercepted and checked against your rules before it executes. Deterministically. No LLM involved in enforcement. Three modes: Conditions: hard rules on structured data Guideance: validate LLM output before it reaches the user and give the agent chance to reason and retry Guardrails: scan for PII, toxicity, prompt injection etc One line to integrate: npm…

AgentFirewall27d ago · agentfirewall.launchreadyal.com · ▲3Project AI agents from unsafe actions before they execute.

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