Protecting Enterprise AI from Data Exposure

Born from the realization that AI adoption requires comprehensive data protection, Data Hawk empowers organizations to use LLMs safely — preventing PII, credentials, and confidential data from exposure without compromising performance or control.

Our Mission

As organizations rapidly adopt AI tools like ChatGPT, Claude Code, and GitHub Copilot, sensitive data is being exposed at unprecedented scale. We believe every enterprise deserves real-time protection they fully control.

Data Hawk was founded on a simple principle: AI innovation shouldn't compromise data security. We're building the future of LLM data protection, where performance meets sovereignty.

Our reactive architecture filters sensitive data at sub-50ms latency, while our commitment to self-hosted deployment ensures your data never leaves your infrastructure.

95%
Detection Accuracy
<50ms
P95 Latency
1,713
Requests/Second
100%
Self-Hosted

Our Journey

2023
The Problem
Witnessing enterprises struggle with unprotected AI adoption, our founder recognized a critical gap: organizations needed real-time LLM data protection they could trust and control completely, without per-call fees or vendor lock-in.
Early 2024
Building the Shield
We assembled a team of security and reactive systems engineers to build a proxy architecture capable of filtering sensitive data at unprecedented speed. The goal: protect AI interactions without impacting user experience.
Mid 2024
Performance Breakthrough
Our pattern detection engine achieved sub-50ms P95 latency with 95% accuracy. Combined with bidirectional filtering and reversible tokenization, Data Hawk became the fastest self-hosted LLM security solution available.
Today
Securing Enterprise AI
Data Hawk now protects LLM interactions for organizations worldwide, filtering sensitive data in real-time across user inputs, AI outputs, training data, and developer tools. Our commitment to self-hosted excellence continues to drive innovation.

Our Values

🔒
Data Sovereignty First
Your data never leaves your infrastructure. 100% self-hosted deployment means absolute control and complete transparency.
⚡
Performance Without Compromise
Sub-50ms latency doesn't happen by accident. We obsess over milliseconds to ensure seamless AI experiences.
🛡️
Comprehensive Protection
Four-layer defense covering user inputs, LLM outputs, training data, and developer tools — no gaps in coverage.
💡
Radical Transparency
Open about our capabilities, honest about limitations, and committed to clear communication with customers.
🤝
Customer Success
Your success is our success. We measure ourselves by the data breaches prevented and compliance violations avoided.
🚀
Continuous Innovation
From reactive architectures to ML-based validation, we're constantly pushing the boundaries of LLM security.

Leadership

Ravi Kalla
Founder & CEO
A passionate technologist with deep expertise in distributed systems and enterprise security. Ravi founded Data Hawk to solve the critical challenge of LLM data protection, making enterprise-grade security accessible and affordable for organizations embracing AI. His vision of self-hosted, high-performance data filtering drives our mission forward.

Join Us in Securing Enterprise AI

Whether you're protecting your first AI deployment or securing thousands of developers, we're here to help you embrace AI innovation safely.

Schedule a Demo