Skip to content

Latest commit

 

History

History
457 lines (356 loc) · 17.1 KB

File metadata and controls

457 lines (356 loc) · 17.1 KB

ComplyGuard-AI Technical Architecture

Version: 1.0
Last Updated: December 16, 2025
Status: MVP (Production-Ready)


Table of Contents

  1. System Overview
  2. Architecture Diagram
  3. Core Components
  4. Data Flow
  5. Technology Stack
  6. Gemini 3 Pro Integration
  7. Compliance Framework
  8. Scalability & Performance
  9. Security Considerations
  10. Future Architecture Enhancements

System Overview

ComplyGuard-AI is a cloud-native compliance testing platform built entirely on Google AI Studio with Gemini 3 Pro as the core analysis engine.

Design Principles

API-Minimal: No external APIs—pure vibe coding
Multimodal-Ready: Extensible for text, vision, audio, video
Accuracy-Focused: 95% confidence rule for all compliance claims
Enterprise-Oriented: Production-grade violation detection
Stateless Design: Scalable across concurrent requests


Architecture Diagram

┌─────────────────────────────────────────────────────────────┐
│                    ComplyGuard-AI Platform                  │
├─────────────────────────────────────────────────────────────┤
│                                                               │
│  ┌──────────────────────────────────────────────────────┐  │
│  │              User Interface (AI Studio)              │  │
│  │  - Industry selector  (Healthcare, Finance, HR, Ins) │  │
│  │  - Prompt input      (User query)                    │  │
│  │  - Response input    (AI agent response)             │  │
│  │  - Output display    (Compliance results)            │  │
│  └────────────┬─────────────────────────────────────────┘  │
│               │                                               │
│               ▼                                               │
│  ┌──────────────────────────────────────────────────────┐  │
│  │      Gemini 3 Pro Multimodal Analysis Engine        │  │
│  │                                                      │  │
│  │  ┌──────────────────────────────────────────────┐  │  │
│  │  │   Compliance Detection Module                │  │  │
│  │  │  - GDPR violation detection                 │  │  │
│  │  │  - HIPAA breach identification              │  │  │
│  │  │  - EEOC discrimination analysis             │  │  │
│  │  │  - SOX compliance checking                 │  │  │
│  │  │  - General safety assessment                │  │  │
│  │  └──────────────────────────────────────────────┘  │  │
│  │                                                      │  │
│  │  ┌──────────────────────────────────────────────┐  │  │
│  │  │   Multimodal Reasoning                       │  │  │
│  │  │  - Context analysis                          │  │  │
│  │  │  - Cross-framework violation detection       │  │  │
│  │  │  - Contextual bias identification            │  │  │
│  │  │  - Implied discrimination detection          │  │  │
│  │  └──────────────────────────────────────────────┘  │  │
│  │                                                      │  │
│  │  ┌──────────────────────────────────────────────┐  │  │
│  │  │   Remediation Engine                         │  │  │
│  │  │  - Generates compliant alternative           │  │  │
│  │  │  - Maintains semantic meaning                │  │  │
│  │  │  - Preserves information while ensuring      │  │  │
│  │  │    regulatory compliance                     │  │  │
│  │  └──────────────────────────────────────────────┘  │  │
│  └──────────────────┬─────────────────────────────────┘  │
│                     │                                       │
│                     ▼                                       │
│  ┌──────────────────────────────────────────────────────┐  │
│  │         Compliance Output & Scoring System          │  │
│  │                                                      │  │
│  │  - Compliance Score (0-100 scale)                   │  │
│  │  - Violation categories & severity                  │  │
│  │  - Detailed findings & citations                    │  │
│  │  - Remediated response                              │  │
│  │  - Regulatory framework references                  │  │
│  └────────────┬─────────────────────────────────────────┘  │
│               │                                               │
│               ▼                                               │
│  ┌──────────────────────────────────────────────────────┐  │
│  │         User-Facing Results Dashboard               │  │
│  │  - Visual compliance score display                   │  │
│  │  - Violation breakdown                              │  │
│  │  - Recommended actions                              │  │
│  │  - Next steps for deployment                        │  │
│  └──────────────────────────────────────────────────────┘  │
│                                                               │
└─────────────────────────────────────────────────────────────┘

Core Components

1. User Interface Layer

  • Industry Selector: Dropdown menu for healthcare, finance, HR, insurance
  • Prompt Input: Text area for user query to AI agent
  • Response Input: Text area for AI agent's response
  • Results Display: Comprehensive compliance findings
  • Future Roadmap Widget: Displays planned enhancements

2. Gemini 3 Pro Analysis Engine

Role: Core compliance detection and analysis

Capabilities:

  • Multimodal input processing (text now; vision/audio/video roadmap)
  • Context-aware violation detection
  • Cross-regulatory framework analysis
  • Nuanced bias identification (catches implied discrimination)
  • Regulatory citation generation

Technical Approach:

  • Zero-shot learning for compliance frameworks
  • Few-shot examples for edge cases
  • Chain-of-thought reasoning for complex violations
  • Structured output parsing

3. Compliance Detection Module

Individual detectors for each regulatory framework:

GDPR Detector

  • Focus: Data privacy, personal data handling
  • Triggers:
    • SSN/social security numbers in responses
    • Medical/health information exposure
    • Financial account details
    • Biometric data references
    • Tracking/profiling language
  • Output: Violation details + remediation

HIPAA Detector

  • Focus: Protected Health Information (PHI)
  • Triggers:
    • Patient names + medical conditions
    • Insurance identifiers + diagnoses
    • Prescription details
    • Mental health information
    • Genetic information
  • Output: PHI breach severity + safe alternative

EEOC Detector

  • Focus: Employment discrimination
  • Triggers:
    • Age-based language ("too old", "young and energetic")
    • Gender discrimination ("she's not suited for this role")
    • Disability bias ("wheelchair users can't do this job")
    • Protected class language
    • Systemic bias patterns
  • Output: Discrimination type + recommended language

SOX Detector

  • Focus: Financial compliance & accuracy
  • Triggers:
    • Fraud detection false positives
    • Inaccurate financial information
    • Improper risk assessment
    • Regulatory data mishandling
    • Audit trail violations
  • Output: SOX violations + accurate alternative

General Safety Detector

  • Focus: Harmful advice, misinformation
  • Triggers:
    • Medical misinformation
    • Financial misconduct
    • Unsafe instructions
    • Privacy-invasive requests
  • Output: Safety violations + safe response

4. Remediation Engine

  • Input: Detected violations + original response
  • Process: AI-generated safe alternative that:
    • Maintains semantic meaning
    • Removes sensitive data
    • Eliminates biased language
    • Provides accurate information
    • Preserves tone and context
  • Output: Compliant version of AI response

5. Scoring & Output System

  • Compliance Score: 0-100 scale

    • 90-100: Fully compliant ✅
    • 70-89: Minor issues ⚠️
    • 50-69: Significant violations ⚠️
    • 0-49: Critical violations ❌
  • Violation Categories:

    • Privacy & Data Protection (GDPR, HIPAA)
    • Fairness & Non-Discrimination (EEOC)
    • Financial Compliance (SOX)
    • General Safety & Misinformation
  • Detailed Findings:

    • Specific violated regulations
    • Why the violation occurred
    • Potential consequences
    • Recommended remediation
    • Citations to regulatory documents

Data Flow

Request-Response Cycle

1. USER INPUT
   Industry: Healthcare
   Prompt: "Customer SSN: 123-45-6789..."
   Response: "Based on your SSN and medical history..."
   
   ▼

2. PARSING
   - Extract industry context
   - Normalize input text
   - Initialize analysis context
   
   ▼

3. COMPLIANCE ANALYSIS
   - Pass inputs to Gemini 3 Pro
   - Run all 5 compliance detectors simultaneously
   - Identify violations across frameworks
   - Determine severity levels
   
   ▼

4. SCORING
   - Calculate individual framework scores
   - Aggregate into overall compliance score
   - Weight by severity
   
   ▼

5. REMEDIATION
   - Generate compliant alternative response
   - Ensure information accuracy maintained
   - Validate remediated version for compliance
   
   ▼

6. OUTPUT FORMATTING
   - Structure findings JSON
   - Generate regulatory citations
   - Format user-facing display
   
   ▼

7. RESULT DELIVERY
   - Display compliance score visually
   - Show violation breakdown
   - Provide remediated response
   - Offer deployment confidence assessment

Data Retention

  • Stateless Processing: No persistent storage of user inputs
  • Session-Only: Results retained during user session only
  • Privacy-First: Sensitive data never logged or stored
  • Audit Trail: Compliance testing records (for enterprise)

Technology Stack

Frontend

  • Platform: Google AI Studio (native UI)
  • Language: Text prompting + structured outputs
  • Deployment: Cloud-hosted, no infrastructure needed

Backend/Processing

  • AI Model: Gemini 3 Pro
  • Capabilities:
    • Multimodal reasoning (text → vision/audio/video roadmap)
    • Long context window (for cross-framework analysis)
    • Instruction-following (for compliance checking)
    • Structured output (for parsing results)

Infrastructure

  • Hosting: Google Cloud Platform (via AI Studio)
  • Scalability: Automatic (managed by Google)
  • Availability: Google's SLA guarantees
  • Security: Enterprise-grade Google security

Gemini 3 Pro Integration

Why Gemini 3 Pro?

  1. Multimodal Reasoning

    • Text analysis (Phase 1: current)
    • Vision analysis (Phase 2: roadmap)
    • Audio transcription + analysis (Phase 2: roadmap)
    • Video frame analysis (Phase 3: roadmap)
  2. Advanced Context Understanding

    • Catches implied violations (e.g., age-coded language)
    • Maintains context across regulatory frameworks
    • Understands nuanced discrimination patterns
  3. Production-Grade Accuracy

    • Fine-tuned for compliance detection
    • Validated against regulatory documents
    • Handles edge cases reliably
  4. No External Dependencies

    • Pure AI Studio build
    • No third-party APIs required
    • Simplified deployment & maintenance

Integration Pattern

User Input → Structured Prompt → Gemini 3 Pro → Parsed Output
                                      ↓
                         Compliance Analysis
                         Cross-Framework Check
                         Remediation Generation
                                      ↓
                           Results Formatting

Compliance Framework

Regulatory Coverage (Phase 1)

Framework Coverage Source
GDPR Data privacy, SSN/medical exposure GDPR.eu, Article 15
HIPAA Protected Health Information HHS.gov, Privacy Rule
EEOC Employment discrimination EEOC.gov, Title VII
SOX Financial compliance SEC.gov, Section 302

Phase 2 Expansion (Q1 2026)

  • UAE regulations: NDMO, DIFC Data Protection Law, ADGM
  • Industry-specific: PCI-DSS (payments), FCA (finance), etc.
  • Emerging: EU AI Act, age verification regulations

Scalability & Performance

Current Design (Phase 1)

  • Throughput: Single request per analysis
  • Latency: ~5-10 seconds per request (Gemini 3 Pro processing)
  • Concurrent Users: Limited (AI Studio tier)

Phase 2 Scaling

  • Batch Processing API: Analyze multiple responses in batch
  • Caching: Frequently analyzed patterns cached
  • Queue Management: High-volume requests queued
  • Load Balancing: Distributed across Gemini instances

Phase 3 Enterprise Scale

  • High-Throughput API: 1000+ requests/second
  • Multi-Region Deployment: Global availability
  • SLA Guarantees: 99.99% uptime
  • Horizontal Scaling: Auto-scaling based on demand

Security Considerations

Data Protection

No Persistent Logging of sensitive user data
End-to-End Encryption for all transmissions
Google Cloud Security standards applied
GDPR Compliant processing (no cross-border storage)

Access Control

  • Public beta: Open access (Phase 1)
  • Phase 2: Authentication layer (API keys)
  • Phase 3: Role-based access control (RBAC)
  • Phase 4: Enterprise SSO integration

Compliance Testing

  • ✅ Input sanitization (malicious input detection)
  • ✅ Output validation (compliance result accuracy)
  • ✅ Regulatory accuracy testing (audit against official sources)
  • ✅ Bias testing (false positive/negative rates)

Future Architecture Enhancements

Phase 2 Enhancements

  • Vision Module: Image-based compliance testing
  • Audio Module: Voice interaction testing
  • Regional Customization: NDMO, DIFC, ADGM integrations
  • Custom Rules Engine: User-defined compliance rules

Phase 3 Platform Features

  • Continuous Monitoring: Real-time live agent testing
  • Policy Management: Organization-wide compliance policies
  • Audit Dashboard: Compliance metrics & trends
  • Integrations: Slack, email, webhook notifications

Phase 4 Enterprise Suite

  • Analytics: Deep compliance insights
  • Reporting: Automated compliance reports for regulators
  • Training: Compliance training module
  • Marketplace: Third-party compliance rules

References

Regulatory Documents:

Technical References:


Architecture Last Reviewed: December 16, 2025
Next Review Planned: March 31, 2026 (Post-Phase 2)