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AI Admissibility
External admission boundary for AI execution
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@governance
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About AI Admissibility
AI Admissibility is an external admission boundary for AI-driven and automated execution.
It is not a generic AI assistant, scanner, or observability tool. The core rule is simple: No Admission = No Execution.
AI agents and automated workflows are increasingly able to deploy code, change infrastructure, call APIs, mutate customer data, grant access, or trigger security-sensitive operations. In those cases, logs and monitoring are too late: the important question is whether the action should be allowed to enter execution at all.
AI Admissibility adds a fail-closed allow/deny decision surface before high-impact execution. A workflow or agent can propose an action, but execution should depend on an external admission decision rather than self-approval inside the same workflow.
Key features:
- external allow/deny admission before execution;
- fail-closed behavior when admission is denied, missing, invalid, or unverifiable;
- public proof/status surface;
- GitHub Actions evaluation path;
- technical brief and customer integration rule: No Admission = No Execution.
It is designed for developers, DevOps teams, security teams, and AI agent builders evaluating controlled automation where production actions, infrastructure changes, access changes, or data mutations should not be self-authorized by the same system requesting execution.
Product Insights
AI Admissibility provides an external security layer for AI agents and automated workflows by enforcing a fail-closed admission boundary before execution. By requiring external authorization for actions like infrastructure changes and data mutations, it prevents self-approval within autonomous systems.
- Enforces a fail-closed response for denied or unverifiable requests.
- Supports GitHub Actions integration for automated evaluation paths.
- Includes a public proof surface for verifying execution status.
- Provides API, CLI, and MCP access for flexible technical integration.
Ideal for: DevOps Engineers, Developers, and IT Leaders can use this tool to manage high-impact AI automation where actions like data mutation or access changes require external validation.
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Comments (1)
AI Admissibility is built around one rule: No Admission = No Execution. It focuses on external allow/deny admission before high-impact AI or automation actions run, not post-event monitoring.