HIPAA Compliance Engine

Automated data security and compliance pipeline for healthcare applications. Ensures 100% HIPAA compliance through data masking, encryption, audit logging, and policy enforcement.

Features

• Automated PHI Detection: ML-powered detection of Protected Health Information
• Data Masking: Configurable masking strategies for sensitive data
• Encryption: AES-256 encryption with AWS KMS key management
• Audit Logging: Comprehensive audit trails for all data access
• Policy Engine: Rule-based compliance policy enforcement
• Real-time Scanning: Stream processing for continuous compliance monitoring

Architecture

┌──────────────────┐     ┌──────────────────┐     ┌──────────────────┐
│   Data Sources   │────▶│   PHI Scanner    │────▶│  Policy Engine   │
│  (S3, RDS, APIs) │     │  (ML Detection)  │     │ (Rule Evaluation)│
└──────────────────┘     └──────────────────┘     └────────┬─────────┘
                                                           │
                         ┌──────────────────┐              │
                         │  Transformation  │◀─────────────┘
                         │  (Mask/Encrypt)  │
                         └────────┬─────────┘
                                  │
    ┌─────────────────────────────┼─────────────────────────────┐
    │                             │                             │
    ▼                             ▼                             ▼
┌────────┐                 ┌────────────┐                ┌───────────┐
│ Output │                 │   Audit    │                │  Alerts   │
│  Data  │                 │    Logs    │                │ Dashboard │
└────────┘                 └────────────┘                └───────────┘

HIPAA Compliance Coverage

Requirement	Implementation
Access Controls	Role-based access with MFA
Audit Controls	Immutable audit logs in S3
Integrity Controls	SHA-256 checksums, data validation
Transmission Security	TLS 1.3, encrypted at rest
PHI De-identification	Safe Harbor / Expert Determination methods

Tech Stack

• Language: Python 3.11+
• API Framework: FastAPI
• ML/NLP: spaCy, scikit-learn
• Cloud: AWS (S3, KMS, Glue, CloudWatch)
• Database: PostgreSQL, DynamoDB
• Message Queue: Apache Kafka, AWS SQS

Project Structure

hipaa-compliance-engine/
├── src/
│   ├── api/              # REST API endpoints
│   ├── services/         # Core services
│   ├── models/           # Data models
│   ├── rules/            # Compliance rules
│   └── utils/            # Utilities
├── tests/                # Test suite
├── config/               # Configuration
└── docs/                 # Documentation

Quick Start

# Clone repository
git clone https://github.com/Jayanth7416/hipaa-compliance-engine.git
cd hipaa-compliance-engine

# Setup environment
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# Run API server
uvicorn src.api.main:app --reload

# Run compliance scan
python -m src.services.scanner --input data/ --output results/

API Endpoints

Method	Endpoint	Description
POST	/scan	Scan data for PHI
POST	/mask	Apply data masking
POST	/encrypt	Encrypt sensitive fields
GET	/audit/{resource_id}	Get audit trail
GET	/compliance/report	Generate compliance report
POST	/policies/validate	Validate against policies

PHI Detection Categories

• Patient Names
• Social Security Numbers
• Medical Record Numbers
• Health Plan IDs
• Account Numbers
• Dates (DOB, Admission, Discharge)
• Phone/Fax Numbers
• Email Addresses
• Geographic Data
• Device Identifiers
• Biometric Data

Masking Strategies

# Available masking strategies
MaskingStrategy.REDACT      # Replace with [REDACTED]
MaskingStrategy.HASH        # SHA-256 hash
MaskingStrategy.TOKENIZE    # Replace with reversible token
MaskingStrategy.GENERALIZE  # Age: 45 -> 40-50
MaskingStrategy.ENCRYPT     # AES-256 encryption

Configuration

# config/compliance.yaml
phi_detection:
  enabled: true
  confidence_threshold: 0.85
  categories:
    - names
    - ssn
    - mrn
    - dates

masking:
  default_strategy: tokenize
  field_strategies:
    ssn: hash
    name: redact
    dob: generalize

encryption:
  algorithm: AES-256-GCM
  kms_key_id: alias/hipaa-compliance-key

audit:
  enabled: true
  retention_days: 2555  # 7 years per HIPAA
  destination: s3://audit-logs-bucket/

License

MIT License

Author

Jayanth Kumar Panuganti - LinkedIn