Inference
The process by which a trained AI model processes new data inputs to produce predictions or decisions.
The runtime stage where models apply learned parameters to unseen data, often under strict latency, throughput, and resource constraints. Inference governance ensures that production models use the correct version, adhere to performance SLAs, log inputs/outputs for monitoring, and enforce input-validation checks to prevent misuse or injection attacks.
A fraud-detection service exposes a REST API for inference. It wraps the model in a microservice that verifies input schemas, logs every request and response with metadata, and scales horizontally to maintain sub-100 ms response times during peak transaction loads.
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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How is Enzai different from other governance tools?
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