Use & govern AI models without data exposure inside your network
Install the Questa Privacy Engine on-premise with Blackbox. Every piece of sensitive data is anonymized inside your network before it reaches AI agents — giving your team the full benefit of frontier AI without data-leak risk. Monitor data compliance with AI Acts and privacy laws.
Trusted by leading organizations for enterprise-grade security and customized compliance
Built for regulated industries — financial services, healthcare, insurance, and the public sector — Blackbox comes with continuous compliance monitoring mapped to GDPR, the EU AI Act, DORA, and NIS2.
The compliance argument is the architecture.
Nothing in this pipeline requires sending data outside your network — which is what removes an entire category of third-party and cross-border risk from your audit.
Documents and queries enter your network exactly as they do today — no new external endpoint.
Identifying information is stripped or tokenized inside your infrastructure before anything reaches a model.
The AI processes only anonymized input — never a real name, account number, or position.
Responses are matched back to real records after the model finishes — entirely inside your perimeter.
Everything an audit will ask for, already built in.
Hosted inside your own network — no exceptions, no shared infrastructure.
Mapped to GDPR, the EU AI Act, DORA, and NIS2 as a running state, not a one-time report.
Questa works directly inside the tools your team already uses — Claude, ChatGPT, Slack, and email.
Custom domain, single sign-on, and full activity logs included by default.
AI workflows customized to how your teams already operate, not the reverse.
Fixed setup and usage fee — no metered surprises at audit or renewal time.
How a tier-one investment bank closed its AI compliance gap
The bank used a cloud-based AI assistant to summarize sensitive cross-border M&A documents. During a mock regulatory audit, it couldn't prove client-privileged data wasn't being used by the AI provider to improve its own models — a direct conflict with fiduciary duty and GDPR.
The bank moved to a local-first AI architecture running entirely on-premises, with a privacy proxy automatically tokenizing client names before any data reached the model.
“Full compliance with EU regulatory transparency requirements — plus a 30% improvement in document processing speed from eliminating external network latency.”
The exposure is already priced in. Doing nothing doesn’t make it disappear.
Unregulated data carries a breach cost, the EU AI Act carries a fine and a deadline, and U.S. state regulators are already collecting nine- and ten-figure settlements over privacy. None of these risks wait for you to be ready.
The global average cost of a data breach in 2024, per IBM's Cost of a Data Breach Report — a number that climbs once sensitive records are handed to third-party AI systems you don't control.
The maximum EU AI Act fine for prohibited-practice violations, whichever is higher. Enforceable from August 2, 2026 — the same date most financial-sector AI use cases become regulated.
Meta's 2024 settlement with the State of Texas over biometric data collection — the largest U.S. state privacy settlement to date, part of a growing wave of state-level enforcement.
Fixed setup + usage fee
Questions your audit team will ask first.
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