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Glossary

Model risk

The risk of loss from decisions based on incorrect or misused models.

Model risk is the potential for adverse outcomes — financial loss, poor decisions, or reputational and regulatory harm — arising from errors in a model or from using a model incorrectly. Managing it is the subject of SR 11-7.

Generative AI introduces model risk in new forms: non-determinism, prompt sensitivity, and shadow usage. Bringing LLMs into a model inventory with monitoring and documentation is how firms keep that risk governed.

See it in practice

From definition to evidence.

See how Meilynx turns this into an examination-ready audit trail.