Platform

Compliance & Audit

Maintain compliance and demonstrate AI governance with audit trails and reports.

Compliance & Audit

As AI regulations evolve and governance requirements increase, Saf3AI provides the tools you need to generate compliance evidence, maintain comprehensive audit trails, and demonstrate governance to auditors. With complete data sovereignty, your data stays under your control.

Audit Logging

Immutable Audit Trail

Every AI interaction is logged with:

Full request/response (if enabled)
User and session information
Timestamp and duration
Security events
Cost data
Model and provider details

# All interactions are automatically logged
with saf3.trace(
    "agent",
    user_id="user-123",
    compliance_mode=True  # Enhanced logging
) as trace:
    response = agent.run(query)

Log Retention

Plan	Standard Retention	Extended Option
Free	7 days	N/A
Pro	30 days	1 year
Enterprise	90 days	7+ years

Tamper-Proof Storage

Audit logs are:

Encrypted at rest (AES-256)
Write-once/append-only
Cryptographically signed
Replicated across regions

Access Control

Role-Based Access

Define roles with specific permissions:

# Example roles
roles = [
    {
        "name": "viewer",
        "permissions": ["read:traces", "read:metrics"]
    },
    {
        "name": "operator",
        "permissions": ["read:*", "write:alerts"]
    },
    {
        "name": "admin",
        "permissions": ["*"]
    }
]

User Management

SSO integration (SAML, OIDC)
Multi-factor authentication
Session management
Password policies

Activity Logging

All user actions are logged:

Dashboard access
Configuration changes
Data exports
Report generation

Compliance Framework Support

Saf3AI provides tooling to help your organization prepare for and maintain compliance with various regulatory frameworks.

SOC 2

Saf3AI helps you prepare for SOC 2 audits with:

Security controls documentation
Continuous monitoring evidence
Audit trail generation

Support for GDPR compliance requirements:

Data subject access request tooling
Right to erasure support
Data portability exports

# Export user data for DSAR
user_data = saf3.compliance.export_user_data(
    user_id="user-123",
    format="json"
)

# Delete user data (right to erasure)
saf3.compliance.delete_user_data(user_id="user-123")

HIPAA

For healthcare organizations preparing for HIPAA:

PHI handling controls
Audit logging requirements
Access controls

PCI-DSS

For payment data compliance:

Cardholder data masking
Encryption requirements
Access logging

EU AI Act

Prepare for EU AI Act requirements:

Risk classification documentation
Transparency requirements
Human oversight logging
Incident reporting

ISO 42001

Evidence generation for the AI Management System standard:

AI system lifecycle documentation
Risk management evidence
AI governance controls
Responsible AI practices documentation
Model monitoring and performance tracking

Reports

Compliance Reports

Generate reports for auditors:

report = saf3.compliance.generate_report(
    type="audit",
    period="2024-Q1",
    format="pdf"
)

Report types:

Audit report: Complete activity log
Access report: User access history
Security report: Security events and responses
Cost report: Spending and allocation

Scheduled Reports

saf3.reports.schedule(
    name="monthly-compliance",
    type="compliance_summary",
    frequency="monthly",
    recipients=["compliance@company.com"],
    format="pdf"
)

Custom Reports

Build custom reports with:

Flexible time ranges
Custom filtering
Multiple export formats
Automated delivery

Data Governance

Data Classification

Tag data by sensitivity:

with saf3.trace(
    "agent",
    data_classification="confidential"
) as trace:
    pass

Classifications:

Public
Internal
Confidential
Restricted

Data Residency

Choose where data is stored:

US (us-east-1, us-west-2)
EU (eu-west-1, eu-central-1)
APAC (ap-southeast-1)

saf3 = Saf3AI(
    api_key="your-key",
    region="eu-west-1"  # EU data residency
)

Data Masking

Automatically mask sensitive data:

saf3 = Saf3AI(
    api_key="your-key",
    masking={
        "patterns": ["ssn", "credit_card", "email"],
        "mode": "hash"  # or "redact"
    }
)

Policy Management

Governance Policies

Define organizational policies:

policy = saf3.policies.create(
    name="enterprise-policy",
    rules=[
        {
            "type": "require_human_approval",
            "condition": "action == 'delete' or cost > 100"
        },
        {
            "type": "data_retention",
            "min_days": 90,
            "max_days": 365
        },
        {
            "type": "model_allowlist",
            "models": ["gpt-4", "claude-3-opus"]
        }
    ]
)

Policy Enforcement

Policies can be:

Advisory: Log violations but allow
Blocking: Prevent policy violations
Alerting: Notify on violations

Policy Versions

Track policy changes:

Version history
Change attribution
Rollback capability

Incident Management

Incident Detection

Automatic detection of:

Security breaches
Data leaks
Policy violations
System failures

Incident Response

# Create incident
incident = saf3.incidents.create(
    type="security_event",
    severity="high",
    description="Potential data exfiltration detected",
    affected_traces=["trace-123", "trace-456"]
)

# Track resolution
incident.add_note("Investigated - false positive")
incident.resolve(resolution="No action required")

Incident Reports

Generate incident reports for:

Internal review
Regulatory notification
Customer communication

API for Compliance

Export Data

# Export traces for compliance
traces = saf3.traces.export(
    start_date="2024-01-01",
    end_date="2024-03-31",
    format="json",
    include_metadata=True
)

Audit API

# Query audit logs
logs = saf3.audit.query(
    filters={
        "user_id": "user-123",
        "action": "config_change"
    },
    start_date="2024-01-01"
)

Webhooks

Receive compliance events:

saf3.webhooks.create(
    url="https://your-server.com/compliance-webhook",
    events=["policy_violation", "security_event"],
    secret="webhook-secret"
)

Best Practices

1. Enable Enhanced Logging

For regulated industries:

saf3 = Saf3AI(
    api_key="your-key",
    compliance_mode=True,
    log_inputs=True,
    log_outputs=True
)

2. Regular Access Reviews

Quarterly access reviews
Remove inactive users
Verify role assignments

3. Document Everything

Policy decisions
Configuration changes
Incident responses
Training completion

4. Test Your Controls

Regular security assessments
Policy violation testing
Incident response drills

Compliance Support

Saf3AI provides the tooling and evidence generation to help your organization prepare for and demonstrate compliance with various regulatory frameworks. Our platform supports:

Evidence generation - Audit-ready reports and documentation for compliance assessments
Complete data sovereignty - Your data stays under your control, processed where you choose
Audit trail generation - Immutable logs for compliance reporting
Data governance controls - Tools to meet regulatory requirements
Access management - Controls aligned with security standards

Note: Saf3AI provides compliance evidence and reporting tools. Your organization is responsible for achieving and maintaining compliance certifications. Our tools help you generate the evidence needed for your compliance assessments.

Next Steps

Security Features
SDK Reference
Contact Sales for compliance questions