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FAQ

About WhiteBoxXAI

What does WhiteBoxXAI do?

It turns how your AI systems actually behave into evidence a compliance team can use. It monitors models, LLM applications and agents; computes drift, explanations and fairness audits from real data; tracks risks, review decisions and control evidence; and produces reports for auditors, regulators and boards. Every number has a How was this computed? note saying where it came from.

What doesn't it do?

  • It doesn't certify compliance. It records evidence and shows gaps; your organization, auditor or regulator decides what the evidence proves.
  • It doesn't call your models or LLM providers to generate scores. Evaluations are deterministic checks of outputs you've logged, and nothing uses another model as a judge.
  • It doesn't invent numbers. With too little data, it says a result can't be computed yet.
  • It doesn't cover frameworks beyond five: ISO/IEC 42001, the EU AI Act, GDPR, CCPA and NIST AI RMF.

Who is it for?

Compliance, risk and governance teams who need defensible evidence about AI systems, and the data scientists and engineers who run those systems. The dashboard's lenses present the same evidence for a compliance officer, a data scientist, an executive or an auditor.

Is it cloud or on-premise?

Both. Free runs on the shared WhiteBoxXAI cloud at whiteboxxai.com. Business Cloud is your own dedicated tenant in Microsoft Azure at <your-org>.app.whiteboxxai.com. Enterprise Edition runs on your own infrastructure, including air-gapped networks. See Plans & Limits.

Plans and usage

How much does it cost?

Free is $0. Business Cloud is $599/month or $5,990/year. Enterprise Edition is a lifetime license with yearly maintenance and support. Every plan has the same governance features. See Plans & Limits.

What's a Governance Event?

One unit of recorded AI activity: a logged prediction, an LLM call, a RAG retrieval, a safety scan, an explanation, a fairness audit, a drift check or report, or an evaluation run. A multi-agent workflow is one event in total. Dashboard use, reads, configuration and reports are free. See Governance Events.

What's a Governed AI System?

A model, LLM app or agent system you register, counted by name. New versions don't count, and archived and sample-data systems don't either. Free includes 1, Business Cloud up to 10, Enterprise Edition unlimited.

What happens when I reach my limit?

On Free, recording pauses with 429 QuotaExceeded until next month; everything else keeps working. On Business Cloud, recording continues and extra events are billed at $5 per 10,000. Registering a system beyond your plan's limit returns 403.

Is there a free trial?

The Free plan never expires and needs no credit card. Demo accounts with sample data are also available on request, and you can load sample data into your own account from Settings → Sample data & tour.

How do I upgrade?

Settings → Subscription & usage, or contact us to set up Business Cloud or Enterprise Edition.

Accounts and security

How do I sign up?

At whiteboxxai.com, with Google, Microsoft, or your name, email and a password. No company details are needed. See Getting Started.

I forgot my password

Choose Forgot password on the sign-in page and follow the emailed link.

Should I turn on two-factor authentication?

Yes. It protects the account that holds your compliance evidence, and you need it to vote on governance review requests. See Two-Factor Authentication.

Does WhiteBoxXAI support single sign-on?

You can sign in with Google or Microsoft accounts. SAML single sign-on and SCIM user provisioning aren't available. Enterprise Edition runs inside your own identity boundary.

How do I invite colleagues and set roles?

Settings → Users & roles → Invite user, with the role Administrator, Analyst or Viewer. See Settings.

How do API keys work?

Administrators create them in Settings → API keys. A key is shown once, can be given an expiry, and acts with the permissions of the administrator who created it. See API Keys.

How do I delete my account or export my data?

Settings → Data & privacy: Download my data (JSON) or Delete my account.

Data

What data should I log?

The inputs a model used and the outputs it returned. Don't log names, addresses or government ids; put a non-identifying reference in metadata if you need to trace a decision. The SDK's privacy helpers can mask personal data first.

Who can see my data?

Only users in your organization, according to their role. A request for another organization's record returns 404, exactly as if it didn't exist. Business Cloud runs in a dedicated tenant, and Enterprise Edition in your own environment.

Is data encrypted?

Yes, in transit (TLS) and at rest.

Do I have to log every prediction?

No. For high-volume models, log a representative sample with ModelMonitor(sampling_rate=...). Drift and fairness results are computed from what you log, so sample consistently.

Can I add actual outcomes to predictions later?

Not through an update to the logged prediction. Fairness audits take the true outcomes as input when you run them, and performance metrics you compute yourself can be reported with client.metrics.create.

Models and frameworks

Which models can I monitor?

Anything you can call from Python, plus anything that can call a REST API. There are ready-made integrations for scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain/LangGraph and CrewAI. See Python SDK.

Which LLM providers are supported?

All of them. LLM calls are logged with a free-text provider, so OpenAI, Anthropic Claude, Google Gemini, xAI Grok, Mistral, AWS Bedrock, Azure OpenAI, Cohere, open models and local models all work. Cost is calculated for model names WhiteBoxXAI has prices for (current OpenAI, Anthropic, Gemini and Azure OpenAI models) and left blank otherwise. See LLM monitoring.

Is there an SDK for languages other than Python?

No. Use the REST API from any language, or the MCP server from AI assistants.

Can an AI agent use WhiteBoxXAI?

Yes, through the MCP server (197 tools) or the SDK. Give it the agent skills, which tell it to report results honestly and never vote on a person's behalf.

Explanations, drift and fairness

Which explanation methods are there?

SHAP (kernel and tree), LIME (tabular) and DiCE counterfactuals. Explanations run the model itself, so the model file must be stored with WhiteBoxXAI through GitHub registration with storage_mode: full. See Assurance.

How is drift detected?

Each feature in a recent window of predictions is compared with the baseline: Kolmogorov–Smirnov and PSI for continuous features, chi-squared and Jensen–Shannon divergence for categorical ones, plus concept-drift methods. Sensitivity presets set the thresholds. See Drift Detection.

What does a fairness audit need?

True outcomes, predicted outcomes, and the group each record belongs to, which you supply. WhiteBoxXAI doesn't infer protected attributes. See Assurance → Fairness.

Are LLM answers checked for safety?

Yes, if you send them to client.safety.analyze: toxicity categories, 12 types of personal data, and harmful content. Jailbreak and prompt-injection detection aren't part of WhiteBoxXAI.

Alerts

When do alert rules fire?

When metrics are logged, drift reports are created or bias audits complete, active rules for that model are evaluated, and any rule whose conditions are met opens an alert in Needs Attention. See When rules are evaluated.

Which notification channels are there?

Slack, email, webhook, SMS and PagerDuty, set up by an administrator in Settings → Integrations.

Reports and evidence

What reports can I generate?

Twelve report types, including a Quarterly Board Pack, an ISO/IEC 42001 Statement of Applicability, EU AI Act Annex IV documentation, a GDPR DPIA record, a CCPA ADMT risk assessment, a NIST AI RMF profile, model cards, fairness and drift reports, evidence packs and an auditor traceability matrix, as PDF, Word or HTML. See Reports.

How do I give a report to an external auditor?

Share with an auditor sends a link that only works after the recipient verifies a code sent to their email. Links expire, carry a watermark, and can be revoked. See Share a report with an auditor.

Can I schedule reports?

Yes, daily, weekly, every 30 or 90 days, or on a custom schedule. See Reports → Schedules.

Governance

Can an AI assistant or pipeline approve a model?

No. Votes on review requests need a person's own signed-in session, two-factor authentication and a current authenticator code, and are refused if the request changed since they opened it. Organization API keys can't vote. Pipelines can gate deployments on policy instead; see Policy-as-Code & GitOps.

Can the person who raised a request approve it?

No. Submitters can't vote on their own requests, and that's enforced on every path, including the API.

Can a recorded decision be changed?

No. The decision archive is immutable. A mistake is corrected by recording a correction that supersedes the original, with both kept. See Reviews & Decisions.

Getting help

See Troubleshooting for error messages, and Getting support to contact us: Support in the dashboard sidebar, or support@whiteboxxai.com.