When enterprises adopt AI tools like ChatGPT and Claude Code, sensitive data leaks. We created Data Hawk to solve this — real-time protection you control completely.
AI adoption is accelerating, but data protection hasn't kept pace
Data Hawk sits between your users and AI providers. It filters sensitive data in both directions — before it reaches OpenAI/Anthropic and before AI responses return to users. Sub-50ms latency means users don't notice it's there. 100% self-hosted means you control everything.
Performance, sovereignty, and transparency — without compromise
We obsess over milliseconds. Sub-50ms P95 latency means AI tools feel instant. Users don't sacrifice speed for security.
100% self-hosted deployment. Your sensitive data never touches our servers. Air-gapped deployments supported.
Transparent proxy architecture means zero code changes. Deploy once, protect everything — from Slack bots to IDE tools.
No per-call fees. No surprise bills. Flat licensing model based on users, not API volume. Budget with confidence.
Most tools only scan inputs. We filter AI outputs too — catching training data leaks and hallucinated PII.
We're honest about what we can and can't do. Real accuracy numbers. Real latency metrics. No marketing fluff.
Why enterprises choose Data Hawk over cloud DLP and manual reviews
A team obsessed with making AI safe for enterprise
We're security engineers, distributed systems architects, and enterprise software builders who've spent careers protecting data at scale. We founded Data Hawk because we saw enterprises facing an impossible choice: block AI tools or accept massive data exposure risk. We built the solution we wish existed — fast, self-hosted, and honest about what it can do.
Join enterprises protecting sensitive data without slowing down innovation