AI SecurityGateway

The privacy layerfor regulated AI

Enable innovation with sovereign tools. AI Security Gateway protects data, models and prompts across the AI lifecycle.

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AI ADOPTION

The gap between AI potential and its safe implementation

Organizations face critical barriers that prevent them from fully leveraging AI capabilities.

Risks of exposing sensitive data

Sensitive company information, personal data, intellectual property – unsecured AI interactions create multiple regulatory, competitive, and legal risks.

Strict regulatory requirements

GDPR, HIPAA and other regulations impose strict obligations on data protection. Using public AI models can lead to compliance violations, audits, and significant penalties.

Insufficient development initiatives

Without clear governance frameworks, AI adoption becomes chaotic – from uncontrolled tool usage to inconsistent security standards, increasing organizational risk.

Data privacy

Regulatory compliance

Responsible growth

Governance standards

THE SOLUTION

Enterprise-grade AI security without compromising innovation

AI Security Gateway acts as an intelligent layer between your organization and AI services, ensuring complete data protection and compliance.

  1. Source System

    EHR, EMR, App

  2. AI GATEWAY

    Anonymize

    Secure

  3. AI Model

    OpenAI

    Anthropic

  4. Result

    Response

  5. GATEWAY

    De-anonymize

  6. Response

    Secure output

HOW IT WORKS

Anonymization and de-anonymization process in four steps

  1. Data Input

    User data enters the system for processing - documents, medical records, results, biases, or prompts into models like GPT, Claude, or Gemini.

    • Document ingestion
    • Multiple data sources
    • API integration
    • Real-time processing

  2. Semantic Context Analysis

    AI Gateway automatically recognizes sensitive data (PII, names, contact information, locations). Based on detected context and structure - content is classified and prepared for anonymization.

    • PII detection
    • Context recognition
    • Pattern analysis
    • Adaptive classification

  3. Reversible Anonymization

    Sensitive data is replaced with anonymized tokens while the original structure remains. Bi-directional mapping enables information recovery while preserving context for AI models.

    • Token generation
    • Structure preservation
    • Bi-directional mapping
    • Secure token storage

  4. Controlled De-anonymization

    After processing by AI model, Gateway restores original information. Tokens are exchanged for real data - the result is complete and secure. Output is verified and logged for compliance.

    • Token restoration
    • Data verification
    • Audit logging
    • Compliance validation
USE CASES

Trusted by regulated industries worldwide

Organizations in highly regulated sectors rely on AI Security Gateway to safely leverage AI capabilities.

Financial Services

Banks and fintech companies protect customer financial data while using AI for fraud detection, risk analysis, and customer service.

Healthcare

Hospitals and healthcare providers ensure HIPAA compliance while leveraging AI for diagnostics, research, and patient care.

Government

Government agencies maintain data sovereignty and security while modernizing public services with AI technology.

And Many More

Legal, manufacturing, retail, technology, and countless other industries trust AI Security Gateway for secure AI adoption.