> ## Documentation Index
> Fetch the complete documentation index at: https://docs.inviolet.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Compliance evidence catalog

> Exactly what Inviolet records for every AI decision — automated or human — and how each field maps to the EU AI Act, GDPR Article 22, SEC recordkeeping, and California's CCPA ADMT rules.

Regulators no longer ask only *"was a human involved?"* They ask you to prove that your AI made the **right** decision — and to reconstruct **why**, on demand, months later. That obligation applies most heavily to the decisions a human never touched.

Inviolet is the evidence layer for that obligation. Every intent decision it makes — allow, deny, redact, route-to-approval, escalate — is recorded as a structured, signed, version-attributed event. This page is the catalog: what we collect, and which regulation each field satisfies.

## What Inviolet records for every decision

Each decision produces one immutable `intent_events` record carrying:

| Evidence           | What it captures                                                                                                                     |
| ------------------ | ------------------------------------------------------------------------------------------------------------------------------------ |
| **Outcome**        | allow / deny / pending-approval / clarify / shadow — the decision itself.                                                            |
| **Inputs**         | the classified intent, data elements in scope, data source, confidence score, anomaly score, and any secrets detected in the prompt. |
| **Rationale**      | the human-readable "why" — the policy verdict or the reason a request was blocked or escalated.                                      |
| **Policy version** | a frozen snapshot of the exact rules that fired, so a later policy edit can never rewrite history.                                   |
| **Model version**  | the classifier / model version that produced the decision — answering "which model made this call?"                                  |
| **Actor**          | whether a human was in the loop, and explicitly marks autonomous decisions as system-made.                                           |
| **Timestamp**      | when the decision was made, to the millisecond.                                                                                      |
| **Signature**      | a cryptographic RS256 signature over the record, verifiable against Inviolet's public keys — tamper-evident by construction.         |
| **Chain position** | each record is linked to the prior one per organization, so deletion or reordering is detectable.                                    |

Beyond the individual record, Inviolet continuously measures whether its **autonomous** decisions stay correct over time — accuracy against human corrections, override rate, and shadow-vs-enforced divergence — the post-market monitoring regulators increasingly expect.

## EU AI Act

| Obligation                                                     | Evidence Inviolet provides                                                                                      |
| -------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
| **Art. 12 — automatic event logging** over the system lifetime | Every decision is logged automatically, machine-generated, with full input/outcome fidelity.                    |
| **Art. 26(6) — retain logs ≥ 6 months**                        | Decision records retained per plan; indefinite retention on the Ultraviolet tier (see [retention](#retention)). |
| **Art. 14 — human oversight**                                  | The actor field records whether a human intervened — and proves when one did not.                               |
| **Annex IV / Art. 11 — system logic documentation**            | Policy-version snapshots + model-version provenance document the decision logic as it operated.                 |
| **Art. 72 — post-market monitoring**                           | Continuous accuracy / override / divergence metrics show the system performs as intended over time.             |

## GDPR Article 22 — automated decisions

| Obligation                                                               | Evidence Inviolet provides                                                                  |
| ------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------- |
| **Explanation of a specific automated decision** (Recital 71)            | The rationale + inputs + policy/model version reconstruct any decision after the fact.      |
| **Safeguards: human intervention, express a view, contest** (Art. 22(3)) | Approval and clarification workflows are recorded, including who intervened and how.        |
| **Accountability** (Art. 5(2))                                           | Signed, chained records let you *demonstrate* the safeguards operated — not just assert it. |

## SEC — recordkeeping for regulated firms

| Obligation                                           | Evidence Inviolet provides                                                               |
| ---------------------------------------------------- | ---------------------------------------------------------------------------------------- |
| **Advisers Act Rule 204-2 — books & records**        | AI-driven decisions and their context are captured and retained.                         |
| **Exchange Act Rule 17a-4 — tamper-evident records** | Per-record signatures + the hash chain provide tamper-evidence for the decision log.     |
| **Anti-fraud / "AI-washing"**                        | Model-version + rationale provenance substantiate claims about what the AI actually did. |

## California — CCPA ADMT regulations

| Obligation                                                                                          | Evidence Inviolet provides                                                                                         |
| --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ |
| **Access right — disclose the logic, output, and how it was used**                                  | Per-decision rationale, inputs, outcome, and model/policy version are reconstructable on request.                  |
| **Risk assessments** (retain 5 years; triggered by using or training automated decision technology) | Risk-assessment records tie decision logic and training-data provenance to reviewers and an executive attestation. |
| **Pre-use notice**                                                                                  | The evidence catalog documents purpose, logic, and outputs for the required notice.                                |

<Note>
  California's other 2026 AI laws (SB 53 frontier-model transparency, SB 942 content
  watermarking, SB 243 companion chatbots, AB 325 algorithmic pricing) generally apply to
  different actors — frontier developers, consumer content generators, chatbot operators.
  Where a customer is subject to them, Inviolet's decision and incident logs supply
  supporting evidence, but they do not impose direct obligations on the gateway itself.
</Note>

## Retention

Log-retention floors under the EU AI Act (6 months) and SEC rules (multi-year) are met on the **Ultraviolet** tier, which retains decision records **indefinitely**. Lower tiers retain records for shorter windows; organizations subject to EU or SEC retention duties should deploy on Ultraviolet.

## Continuous streaming to your GRC platform

Because every decision emits an event the moment it happens, Inviolet streams evidence **continuously** into your governance-risk-compliance platform (Hyperproof, and other GRC systems) — each artifact mapped to the specific control it satisfies. Evidence collection is real time, not a quarterly scramble.

## Read next

* [Six enforcement layers](/concepts/six-enforcement-layers) — where in the pipeline decisions are made.
* [Decision feed](/concepts/decision-feed) — the in-product view of the evidence described here.
* [Tier comparison](/tiers/overview) — retention and compliance capabilities by tier.
