Platform

One platform. Four artifacts. A single audit-trail spine.

Caventia is a vertical AI governance platform. The four products share one data model, one identity layer and one evidence ledger - so the artifact your OCC examiner reads is the same artifact your auditor countersigns.

The architecture

One platform. Four artifacts. A single spine.

Every AI decision flows through one capture layer. From there, four product surfaces share evidence, share schema and produce regulator-ready artifacts without manual stitching.

I.
CI/CD scan
AgentGuard
Detects prompt injection, PII leakage, jailbreak paths before agents reach production.
→ Pre-deployment readiness
III.
Governance documentation
Compliance Passport
Auto-assembles the model risk pack examiners still expect, ECOA disparate impact report, NIST AI RMF mapping.
→ Examiner-defensible artifacts
II.
Runtime capture
Audit Trail
SDK + dashboard capturing every agent action with full feature snapshots. The data spine for everything else.
→ Full reconstruction
IV.
Certified sign-off
Auditor Bridge
Independent third-party model validation with liability coverage. Built for the independence and effective challenge principles examiners still expect.
→ Independent attestation
V.The four products

What each surface ships and which regulator hook it satisfies.

I.

Pre-deployment

AgentGuard

The CI/CD scanner for AI agents.

AgentGuard wires into your build pipeline and runs adversarial checks every time a model or prompt changes. It detects prompt-injection paths, PII leakage, jailbreak surfaces and policy violations before an agent reaches production.

Output is a deploy-gate decision and a machine-readable report.

Regulator hook
2026 MRM Guidance §IV (model development & use), NIST AI RMF GOVERN-2.1
Artifact
Pre-deployment validation report (PDF + JSON)
Pricing band
$60K-$120K annual seat

II.

Runtime

Audit Trail

The spine. Every agent action, captured with full context.

An SDK and dashboard that capture every input, feature snapshot, decision and outcome. The data structure was designed to satisfy the surviving outcomes-analysis and ongoing-monitoring expectations and FDA's algorithm change protocol expectations.

This is the substrate every other Caventia product reads from.

Regulator hook
2026 MRM Guidance §V (validation & monitoring), FDA PCCP, ECOA §1002.9
Artifact
Queryable runtime log with examiner-mode export
Pricing band
$120K-$250K platform + per-event scaling

III.

Governance documentation

Compliance Passport

Auto-assembled regulator packs. No more spreadsheet glue.

The Passport reads from the Audit Trail and emits the model risk pack examiners still expect: model identity documentation, validation reports, ECOA disparate-impact analysis, NIST AI RMF mapping, NYC Local Law 144 disclosures.

The artifacts ship as PDFs with full evidence links back to the audit log.

Regulator hook
2026 MRM Guidance §VII (vendor/third-party), ECOA, NYC LL 144, NIST AI RMF
Artifact
Examiner-defensible model risk pack
Pricing band
$80K-$150K annual

IV.

Third-party sign-off

Auditor Bridge

Productized model validation. Structurally independent.

Banks still need independent model validation under the surviving principles. Today, that means a $500K Big 4 engagement and six months of waiting.

Auditor Bridge runs as a separately-incorporated entity (Caventia Audit Services LLC) with its own management chain, P&L and quality control function. Auditor compensation is flat-fee and not tied to validation outcome.

The four pillars (functional, organizational, compensation and knowledge independence) are documented in a public independence policy. Cycles shrink from quarters to weeks while the independence standard goes up, not down.

Regulator hook
2026 MRM Guidance §VI (governance & controls), Interagency Third-Party Risk Guidance (June 2023)
Artifact
Signed validator opinion, liability rider and independence attestation
Pricing band
$40K-$80K per validation
VI.Walk through this

Want to walk through the platform with the founder?

Thirty minutes. No deck, no sales engineer. Just the architecture, your specific regulator pain and a real conversation about whether Caventia fits.

Prefer to read first? AI Agents After SR 11-7