Trust Center

How we handle your data, secure your governance work, and govern our own AI outputs.

Data handling

Where your data lives

Your governance data is stored in Cloudflare D1 (SQLite at the edge) and Cloudflare KV, hosted in Cloudflare's global network. Assessment data also lives in your browser's localStorage for offline access.

What we store

What we do NOT store

Data deletion

You can delete your account and all associated data at any time from the app's security settings. When you delete an uploaded document, you can choose to also delete the extracted intelligence. Account deletion removes all data across all tables.

Data export

You can export all your data (GDPR Art. 15/20) from the app's security settings. The export includes your profile, assessments, artifacts, evidence, actions, sessions, usage, and audit log.

Security

Authentication

Infrastructure

AI security

AI output governance

We advise professionals on defensibility. We hold ourselves to the same standard.

Defensible Position Standard Every AI-generated output is governed by the Apparens Doctrine: 10 principles covering evidence discipline, vendor neutrality, role relevance, human responsibility, and confidence marking.

What the AI does

What the AI does NOT do

Quality controls

Output versioning

Every AI-generated artifact is saved with: generation date, source workflow, doctrine version, model version, and framework version. This means you can trace why a specific recommendation was produced.

Responsible AI statement

The AI Control Index uses Anthropic's Claude API. We selected Claude for its instruction-following reliability, refusal behavior on harmful requests, and Anthropic's commitment to AI safety research.

For the news intelligence brief, the Public Evidence Brief, and meeting preparation, the app queries the web via Tavily (search, content extraction, site crawl, and deep research) and the free GLEIF legal-entity register, and it fetches the company's own public website. These services receive company names, public website URLs, and (for meeting preparation) the meeting subject line only. They never receive your identity, your messages, the names of meeting attendees, your concerns, or your assessment data. Every evidence brief includes a source ledger showing exactly which services contributed and which did not, so you can see the work and validate it.

Environmental disclosure

AI inference consumes compute energy. We track session-level environmental estimates and display them transparently in the app. We use efficient prompting practices (dynamic token budgets by task type) to reduce unnecessary compute.

Limitations

We believe trust requires honesty about what we cannot do.

We practice what we advise: evidence before assurance. As we grow, this page will grow with it.