Authorization
Define model approval status, mission constraints, user and application permissions, and model-to-data permissions before deployment.
SUPPORTING AI LAYER / MODEL RISK, AUTHORIZATION & ENFORCEMENT
Automate model risk and capability assessments, turn evidence into deployment decisions, and enforce those decisions across users, applications, and data.
Define model approval status, mission constraints, user and application permissions, and model-to-data permissions before deployment.
Extract vulnerabilities and capabilities, characterize risk, and collect test and evaluation evidence to inform model decisions.
Apply pre-inference policy checks, access and data restrictions, and allow, block, reroute, or report decisions to model requests.
Keep invocation logs, decision traceability, policy compliance records, and continuous assessments across AI activity.
MINSKY GUARD / IN PRACTICE
Maintain available models, risk levels, capability profiles, approval status, and usage rules in one registry. Bring together model provenance and dependencies, open-source and academic evidence, reliability findings, and operational feedback.
The gateway identifies the model, user, application, and request context. Authorization evaluates policy, permissions, and data classification. Only authorized requests reach the selected provider; decisions are logged for audit.
Integrate a transparent pre-inference gateway with existing APIs and AI endpoints. Import your model inventory, run assessments, generate approval evidence, and enforce the results.
SUPPORTING AI LAYER / ASSESS & GOVERN
Guard is a supporting AI layer that assesses model risk and capabilities, defines authorization, and enforces runtime controls. It helps govern the AI behind our products, alongside Minsky Platform and the IPE and STIO mission solutions. Guard is part of Minsky One.
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