Security Policy
Effective Date: January 1, 2025
Last Updated: January 1, 2025
Introduction
Security is fundamental to the AI Integrity Platform. This policy outlines our comprehensive approach to protecting your data, maintaining system integrity, and ensuring secure AI governance operations.
Security-First Design: Our platform implements defense-in-depth security architecture with multiple layers of protection.
Data Protection
Encryption Standards
Data in Transit
TLS 1.3 encryption for all data transmissions
Data at Rest
AES-256 encryption for stored data and backups
Key Management
Hardware security modules for cryptographic operations
End-to-End
Application-layer encryption for sensitive AI data
Data Classification
- Public: Documentation and marketing materials
- Internal: Platform configuration and operational data
- Confidential: Customer AI interactions and analytics
- Restricted: Security credentials and cryptographic keys
Access Control
Authentication
- Multi-factor authentication (MFA) required for all accounts
- SAML 2.0 and OAuth 2.0 for enterprise single sign-on
- Hardware security keys supported for high-privilege accounts
- Adaptive authentication based on risk assessment
Authorization
- Role-based access control (RBAC) with least privilege principle
- Attribute-based access control (ABAC) for fine-grained permissions
- Just-in-time access for administrative operations
- Regular access reviews and automated deprovisioning
API Security
- API key rotation and scoped permissions
- Rate limiting and throttling to prevent abuse
- Request signing and validation
- Comprehensive audit logging of API usage
Infrastructure Security
Network Security
Firewalls & WAF
Next-generation firewalls and web application firewalls
Network Segmentation
Micro-segmentation and zero-trust network architecture
Traffic Analysis
Real-time network monitoring and anomaly detection
Container & Cloud Security
- Container image scanning and vulnerability management
- Runtime security monitoring and protection
- Infrastructure as code security scanning
- Cloud security posture management (CSPM)
AI-Specific Security
AI Security Focus: Our platform implements specialized security measures for AI systems and data protection.
Model Protection
- Model extraction attack detection and prevention
- Adversarial input filtering and sanitization
- Model integrity verification and checksums
- Secure model serving with encrypted inference
Data Governance
- Automated PII detection and redaction
- Data lineage tracking and audit trails
- Consent management and data subject rights
- Cross-border data transfer controls
Prompt Security
- Prompt injection attack detection
- Input validation and sanitization
- Output filtering and content moderation
- Jailbreak attempt monitoring
Monitoring & Incident Response
Security Monitoring
24/7 SOC
Security operations center with threat hunting capabilities
SIEM/SOAR
Security information and event management with automation
Threat Intelligence
Real-time threat feeds and indicators of compromise
Behavioral Analysis
User and entity behavior analytics (UEBA)
Incident Response
- Detection: Automated alerting and threat detection
- Analysis: Incident classification and impact assessment
- Containment: Immediate threat isolation and mitigation
- Investigation: Forensic analysis and root cause determination
- Recovery: System restoration and security improvements
- Lessons Learned: Post-incident review and process enhancement
Compliance & Auditing
Compliance Frameworks
SOC 2 Type II
Security, availability, confidentiality
ISO 27001
Information security management
GDPR
EU data protection regulation
Audit Requirements
- Comprehensive audit logging of all system activities
- Immutable audit trails with cryptographic integrity
- Regular internal and external security assessments
- Penetration testing and vulnerability assessments
Business Continuity
Backup & Recovery
- Automated daily backups with point-in-time recovery
- Geographically distributed backup storage
- Regular recovery testing and validation
- Recovery time objective (RTO): 4 hours
- Recovery point objective (RPO): 1 hour
Disaster Recovery
- Multi-region deployment with automatic failover
- Load balancing and traffic distribution
- Database replication and synchronization
- Emergency communication procedures
Vulnerability Management
Assessment Schedule
Remediation Process
- Critical: 24 hours
- High: 7 days
- Medium: 30 days
- Low: 90 days
Security Training & Awareness
- Mandatory security awareness training for all personnel
- Phishing simulation and social engineering awareness
- Secure coding practices and OWASP training
- AI security and privacy training programs
- Regular security briefings and threat updates
Reporting Security Issues
Responsible Disclosure: We encourage responsible reporting of security vulnerabilities.
How to Report
- Email: security@ai-integrity-platform.com
- Response Time: Initial response within 24 hours
- Bug Bounty: Rewards for qualifying vulnerabilities
- Legal Protection: Safe harbor for good faith security research
Security Contact
Chief Security Officer: security@ai-integrity-platform.com
Security Team: security-team@ai-integrity-platform.com
Emergency Contact: Available 24/7 for critical security issues