For the Head of Model Risk
LLMs are models. SR 26-2 still expects them governed.
Generative AI entered your firm's decision workflows without entering your model inventory. Meilynx closes that gap: a complete inventory from live traffic, ongoing monitoring, and documentation an independent validator can rely on.
- gpt-4ochat-support · 3 teamsinventoried
- claude-sonnetdoc-summary · 1 teaminventoried
- text-embed-3search · 2 teamsinventoried
- gpt-4o-minifirst seen 2d agonew
nothing in use is missing · auto-populated
Shadow models, missing documentation.
A model you can't see can't be validated, monitored, or governed. LLMs proliferate faster than any manual inventory keeps up.
- An incomplete inventory of which models are actually in use.
- No ongoing monitoring of model use and behavior.
- Documentation too thin for effective challenge or validation.
- Controls that compliance can't read or audit.
Evidence the validator can trust.
Meilynx supplies the inventory, monitoring, and documentation that validation depends on. It doesn't replace your validators; it equips them.
- A model inventory derived from live traffic, so nothing in use is missing.
- Continuous monitoring of model use, cost, and governance findings.
- A tamper-evident record that serves as durable documentation.
- Versioned policy-as-code your validators and examiners can read.
Bring AI into your model-risk program
See the auto-generated inventory, monitoring, and validation evidence on real traffic.