EVE AI Core
The Infrastructure of No.
EVE AI Core
The Infrastructure of No.
In banking, lending, and insurance, an AI decision has to hold up to an examiner: was it fair, was the model governed, and can you prove it years later? EVE AI Core enforces fair-lending and model-risk policy on each automated decision and emits a signed, replayable audit trail — so “show me how this applicant was decided” has a cryptographic answer.
Updated · Maintained by the EVE NeuroSystems engineering team · Reviewed by Jamaurice Holt, Founder
In financial services, governing AI is inseparable from being able to prove it to a regulator. Automated credit, underwriting, pricing, and fraud decisions sit under fair-lending law, model-risk expectations, and adverse-action requirements — and the burden is not just to have a policy, but to show that the policy governed a specific decision about a specific applicant.
EVE AI Core is built for that. Each decision passes a deterministic gate that enforces the applicable policy, and each produces a signed, replayable record: which model, which policy version, what verdict. It is the enforcement-and-evidence layer for the decisions where being wrong is expensive and being unable to prove you were right is worse.
A plain-language map of common obligations to concrete EVE mechanisms. This is a control mapping, not legal advice.
| Obligation | In short | How EVE AI Core supports it |
|---|---|---|
| ECOA / Regulation B | No discrimination in credit; adverse-action notices | Enforced credit-decision policy with a signed record of each approve/deny and the reasons captured |
| SR 11-7 (model risk) | Sound model development, use, and governance | Per-decision enforcement and a governed, auditable record for models in production |
| Adverse-action requirements | Applicants must be told why | The decision record captures the governing policy and factors for each denial |
| Fair-lending testing | Detect disparate outcomes | Deterministic, consistent decisions with a complete, tamper-evident decision history to test against |
| Auditability / exam readiness | Reconstruct past decisions | Signed, replayable evidence bound to the policy version in force at decision time |
Because the policy pack version is embedded in each decision’s evidence, you can answer an examiner’s question about a decision from last year with the exact rules that governed it — not a description of your current policy.
EVE CoreGuard is a pre-execution gate on the decision itself. A proposed approve/deny/price is risk-scored and evaluated against the fair-lending and model-risk policy packs, and the gate returns a deterministic ALLOW, BLOCK, or MODIFY before the decision is issued. The path is fail-closed, so an ungoverned or non-conforming decision is refused rather than released.
The determinism matters for exams: the same inputs always produce the same verdict, and any decision can be replayed to show it. That is the difference between “our model usually behaves” and “this decision was governed, and here is the proof.”
Every governed decision emits an Ed25519-signed certificate — the inputs, the verdict, the model, and the policy version — hash-chained into a tamper-evident trail with signed Merkle roots and verifiable offline. That is a per-applicant, per-decision audit trail an examiner can check independently, without trusting a dashboard or your word for it.
When a fair-lending review or a model-risk exam asks “show me how this was decided,” the answer is a signed record you can verify rather than a reconstruction. Data can stay in your tenant — SaaS, VPC, or on-prem deployment.
Govern automated credit and underwriting against fair-lending obligations, with a signed record of every approve/deny. Banking & lending →
Enforce policy on automated mortgage decisions and keep an examiner-ready trail. Mortgage →
Bring deterministic governance and signed evidence to member-facing AI decisions. Credit unions →
Govern pricing, claims, and eligibility models — and prove the rule set that applied. Insurance →
EVE AI Core enforces and proves individual decisions. It complements — it does not replace — your model-risk management program, your GRC registry, and your validation function. Those define what must be true across the model inventory; EVE enforces it on each decision and produces the evidence. See the AI compliance software page for the evidence layer in depth.
Bring an automated credit, pricing, or underwriting decision and we will run it through the gate: the fair-lending and model-risk verdict, and the signed record an examiner can verify offline. Controlled pilot from $37,500.
Start lighter: the API reference, the whitepaper, or verify a sample signed decision.
Regulatory mappings describe how EVE AI Core policy packs align to published obligations; they are technical controls and evidence, not legal advice. Documented as of . Related: Banking & lending · Mortgage · Credit unions · Insurance.