Opraxius

GAIA™

Global Automated Intelligence Assurance

Semantic Data Loss Prevention for the Generative AI Era

Protecting intellectual property at the frontier of human-AI interaction

What is GAIA?

GAIA is a Browser/Secure Web Gateway semantic DLP platform that monitors GenAI interactions in real-time. Unlike legacy pattern-matching systems, GAIA understands the meaning of content—detecting source code exfiltration, trade secret leakage, and crown-jewel document theft before they reach external AI systems.

Source Code Protection

Detect and prevent proprietary code from being shared with GenAI platforms, including renamed or refactored snippets.

Trade Secret Defense

Identify internal identifiers, project names, and sensitive business logic through keyphrase clustering and entity detection.

Crown-Jewel Detection

Protect architecture specifications, strategy documents, and high-value IP using semantic similarity matching.

Privacy-Preserving Audit

Maintain compliance with non-reconstructable evidence—hashes and scores only, never raw sensitive data.

Who It's For

GAIA serves organizations navigating the balance between AI-powered productivity and intellectual property protection.

Enterprise Security Teams

CISOs and security architects seeking to govern GenAI adoption without blocking productivity.

Compliance & GRC Officers

Regulatory compliance teams in finance, healthcare, and defense requiring auditable AI data controls.

Engineering Leadership

CTOs and VP Engineering protecting proprietary codebases from inadvertent exposure.

Legal & IP Counsel

Intellectual property teams ensuring trade secrets maintain legal protection status.

How It Works

A six-stage pipeline from traffic capture to evidence preservation.

01

Traffic Interception

Proxy-based capture of HTTPS traffic to GenAI platforms (ChatGPT, Claude, Gemini) with enterprise TLS interception.

02

Prompt Extraction

Adapter pattern extracts prompts from diverse GenAI APIs, handling streaming responses and file uploads.

03

Multi-Layer Detection

Code presence classification, secret scanning, repository fingerprinting, and CodeBERT semantic embeddings work in concert.

04

Policy Evaluation

Flexible rules engine evaluates Who, Where, What, and Action dimensions with confidence-based thresholds.

05

Adaptive Enforcement

Allow, Coach (warn with guidance), or Block—with user feedback loops for low-confidence detections.

06

Audit & Evidence

Privacy-preserving logs capture detector scores, policy decisions, and matched fingerprints for compliance.

Why GAIA Leads

GAIA represents a paradigm shift in data loss prevention—moving from brittle regex patterns to genuine semantic understanding of sensitive content.

Purpose-Built for GenAI

First semantic DLP designed specifically for prompt interception—not retrofitted legacy DLP.

Privacy-Preserving Fingerprints

MinHash/SimHash algorithms detect code matches without storing reconstructable source.

Semantic Understanding

CodeBERT and sentence-transformer embeddings catch renamed, refactored, or paraphrased content.

Sub-500ms Latency

Real-time enforcement without disrupting developer workflow or GenAI responsiveness.

Coach-First Philosophy

Educate users on policy violations before blocking—reducing friction while building security culture.

“The organizations that thrive will be those who harness AI's power while preserving the intellectual property that makes them unique.”

GAIA Philosophy

Learn More

Interested in protecting your organization's intellectual property? Connect with our team.

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