rotalabs-comply 0.1.0

AI compliance and audit logging infrastructure with multi-framework support

rotalabs-comply

AI compliance and audit logging infrastructure with multi-framework support.

Features

• Audit Logging: Encrypted, privacy-preserving audit trails for AI interactions
• Multi-Framework Support: EU AI Act, SOC2 Type II, HIPAA compliance checking
• Report Generation: Customizable compliance reports in Markdown, JSON, or HTML
• Privacy-First Design: Hash-only mode or encrypted content storage
• Multiple Storage Backends: File, S3, or in-memory storage
• Async-First: Built for high-performance async applications

Installation

pip install rotalabs-comply

With S3 storage support:

pip install rotalabs-comply[s3]

Quick Start

Audit Logging

import asyncio
from rotalabs_comply import AuditLogger, EncryptionManager, MemoryStorage

async def main():
    # Set up encrypted audit logging
    encryption = EncryptionManager()
    storage = MemoryStorage()
    logger = AuditLogger(storage, encryption=encryption, store_content=True)

    # Log an AI interaction
    entry_id = await logger.log(
        input="What is the capital of France?",
        output="The capital of France is Paris.",
        provider="openai",
        model="gpt-4",
        safety_passed=True,
        latency_ms=245.5,
    )

    print(f"Logged entry: {entry_id}")

    # Retrieve the entry
    entry = await logger.get_entry(entry_id)
    print(f"Provider: {entry.provider}, Model: {entry.model}")

asyncio.run(main())

Privacy Mode (Hash-Only)

# Only store content hashes, not actual content
logger = AuditLogger(
    "/var/log/ai-audit",
    store_content=False,  # Only store SHA-256 hashes
    retention_days=365,
)

Compliance Checking

from rotalabs_comply import EUAIActFramework, SOC2Framework, HIPAAFramework
from rotalabs_comply.frameworks.base import AuditEntry, ComplianceProfile
from datetime import datetime

async def check_compliance():
    # Create frameworks
    eu_ai = EUAIActFramework()
    soc2 = SOC2Framework()

    # Create an audit entry to check
    entry = AuditEntry(
        entry_id="test-001",
        timestamp=datetime.utcnow(),
        event_type="inference",
        actor="[e-mail]",
        action="Generated text response",
        human_oversight=True,
        user_notified=True,
    )

    # Create compliance profile
    profile = ComplianceProfile(
        profile_id="high-risk",
        name="High Risk AI System",
        risk_level="high",
    )

    # Check compliance
    result = await eu_ai.check(entry, profile)
    print(f"EU AI Act compliant: {result.is_compliant}")
    print(f"Violations: {len(result.violations)}")

    for violation in result.violations:
        print(f"  - {violation.rule_id}: {violation.description}")

asyncio.run(check_compliance())

Report Generation

from datetime import datetime, timedelta
from rotalabs_comply import ReportGenerator, MemoryStorage
from rotalabs_comply.core import ComplianceProfile, Framework

async def generate_report():
    storage = MemoryStorage()
    generator = ReportGenerator(storage)

    # Define compliance profile
    profile = ComplianceProfile(
        frameworks=[Framework.EU_AI_ACT, Framework.SOC2],
        risk_level="high",
    )

    # Generate report for last 30 days
    end = datetime.utcnow()
    start = end - timedelta(days=30)

    report = await generator.generate(
        period_start=start,
        period_end=end,
        profile=profile,
    )

    # Export to markdown
    markdown = generator.export_markdown(report)
    print(markdown)

asyncio.run(generate_report())

Compliance Frameworks

EU AI Act

European Union's comprehensive AI regulation for high-risk systems:

Rule ID	Description	Category
EUAI-001	Human oversight documentation	oversight
EUAI-002	AI interaction notification	transparency
EUAI-003	Risk assessment	risk_management
EUAI-004	Technical documentation	documentation
EUAI-005	Training data documentation	documentation
EUAI-006	Error handling robustness	risk_management
EUAI-007	Accuracy monitoring	risk_management
EUAI-008	Cybersecurity measures	security

SOC2 Type II

AICPA Trust Service Criteria:

Rule ID	Description	Category
SOC2-CC6.1	Logical access controls	security
SOC2-CC6.2	System boundary definition	security
SOC2-CC7.1	System monitoring	security
SOC2-CC7.2	Incident response	security
SOC2-CC8.1	Availability monitoring	availability
SOC2-PI1.1	Processing integrity	processing_integrity
SOC2-C1.1	Confidentiality classification	confidentiality
SOC2-P1.1	Privacy notice	privacy

HIPAA

US healthcare data protection (with HITECH updates):

Rule ID	Description	Category
HIPAA-164.312(a)	Access control	access_control
HIPAA-164.312(b)	Audit controls	audit
HIPAA-164.312(c)	Integrity controls	integrity
HIPAA-164.312(d)	Person authentication	authentication
HIPAA-164.312(e)	Transmission security	transmission
HIPAA-164.502	Uses and disclosures	privacy
HIPAA-164.514	De-identification	privacy

Storage Backends

File Storage

from rotalabs_comply import AuditLogger, FileStorage

# JSONL files with automatic rotation
storage = FileStorage("/var/log/ai-audit", rotation_size_mb=100)
logger = AuditLogger(storage)

S3 Storage

from rotalabs_comply import AuditLogger, S3Storage

# Requires: pip install rotalabs-comply[s3]
storage = S3Storage(
    bucket="my-audit-bucket",
    prefix="ai-audit/",
    region="us-east-1",
)
logger = AuditLogger(storage)

Memory Storage (Testing)

from rotalabs_comply import AuditLogger, MemoryStorage

storage = MemoryStorage(max_entries=10000)
logger = AuditLogger(storage)

Encryption

All audit content can be encrypted using Fernet symmetric encryption:

from rotalabs_comply import EncryptionManager, generate_key

# Auto-generate key
encryption = EncryptionManager()
key = encryption.get_key()  # Save this securely!

# Or provide your own key
key = generate_key()
encryption = EncryptionManager(key=key)

# Use with AuditLogger
logger = AuditLogger(
    storage,
    encryption=encryption,
    store_content=True,  # Store encrypted content
)

API Reference

Core Types

• RiskLevel - Enum: LOW, MEDIUM, HIGH, CRITICAL
• Framework - Enum: EU_AI_ACT, SOC2, HIPAA, GDPR, NIST_AI_RMF, ISO_42001
• AuditEntry - Audit log entry data model
• ComplianceProfile - Compliance configuration
• ComplianceViolation - Detected violation
• ComplianceCheckResult - Framework check result

Audit Module

• AuditLogger - Main audit logging interface
• EncryptionManager - Encryption utilities
• FileStorage - JSONL file storage
• MemoryStorage - In-memory storage
• S3Storage - AWS S3 storage

Frameworks

• EUAIActFramework - EU AI Act compliance
• SOC2Framework - SOC2 Type II compliance
• HIPAAFramework - HIPAA compliance

Reports

• ReportGenerator - Generate compliance reports
• ComplianceReport - Report data model
• ReportSection - Report section

Links

• Documentation: https://rotalabs.github.io/rotalabs-comply/
• PyPI: https://pypi.org/project/rotalabs-comply/
• GitHub: https://github.com/rotalabs/rotalabs-comply
• Website: https://rotalabs.ai
• Contact: [e-mail]

License

MIT License - see LICENSE file for details.