AI Control Tower
Security & Compliance Whitepaper
**Prepared for:** AI Control Tower
**Date:** November 27, 2025
**Version:** 2.0
Executive Summary
AI Control Tower is an enterprise-grade AI governance platform that provides comprehensive monitoring, compliance, and control over artificial intelligence systems. This whitepaper outlines our security architecture, compliance frameworks, and data protection measures.
Key Security Features
**End-to-End Encryption:** TLS 1.3 for data in transit, AES-256 for data at rest
**Multi-Tenant Isolation:** Row-Level Security (RLS) ensures complete data separation
**Zero-Trust Architecture:** All requests authenticated and authorized
**Audit Logging:** Comprehensive activity logs for all user and system actions
**Anomaly Detection:** Real-time detection of security threats and data breaches
**Incident Response:** Automated alerting and integration with enterprise security tools
1. Security Architecture
1.1 Infrastructure Security
Cloud Infrastructure:
Hosted on enterprise-grade cloud platforms (Vercel, Supabase)
Multi-region deployment for redundancy
Automated failover and disaster recovery
99.9% uptime SLA
Network Security:
HTTPS/TLS 1.3 enforced for all connections
DDoS protection via CDN (Cloudflare/Vercel)
Web Application Firewall (WAF) enabled
IP allowlisting available for enterprise customers
Database Security:
PostgreSQL with Row-Level Security (RLS)
Encrypted at rest with AES-256
Automated daily backups with point-in-time recovery
Database connection pooling with encrypted credentials
1.2 Application Security
Authentication & Authorization:
Multi-factor authentication (MFA) support
OAuth 2.0 / OIDC integration
Role-Based Access Control (RBAC)
API key authentication with SHA-256 hashing
Session management with secure cookies
Automatic session expiration
Access Control:
Principle of least privilege enforced
Just-in-time access for administrative operations
Quarterly access reviews
Automated deprovisioning on account termination
Data Protection:
Input validation on all API endpoints
SQL injection prevention via parameterized queries
XSS protection with Content Security Policy (CSP)
CSRF protection with anti-CSRF tokens
Rate limiting to prevent abuse
PII detection system with automatic alerts
1.3 Encryption
Data in Transit:
TLS 1.3 with strong cipher suites
Certificate pinning for mobile applications
Encrypted webhooks with HMAC-SHA256 signatures
Encrypted API communications
Data at Rest:
AES-256 encryption for database
SHA-256 hashing for API keys (irreversible)
Encrypted backup storage
Secure key management via cloud provider KMS
2. Compliance Frameworks
2.1 SOC 2 Type II Compliance
AI Control Tower is designed to meet SOC 2 Trust Service Criteria across all five categories:
Security (Common Criteria):
CC1: Control Environment - Code of conduct, ethics policies
CC2: Communication and Information - Internal security communications
CC3: Risk Assessment - Annual risk assessments conducted
CC4: Monitoring Activities - Continuous security monitoring
CC5: Control Activities - Security controls implemented and tested
CC6: Logical and Physical Access Controls - MFA, RLS, encryption
CC7: System Operations - 24/7 monitoring, incident response
CC8: Change Management - Version control, testing, approvals
CC9: Risk Mitigation - Vulnerability scanning, penetration testing
Availability:
A1.1: 99.9% uptime SLA maintained
A1.2: Multi-region redundancy
A1.3: Automated failover and disaster recovery
Confidentiality:
C1.1: Multi-tenant data isolation via RLS
C1.2: Secure data disposal on account deletion
C1.3: PII detection and protection
Processing Integrity:
PI1.1: Input validation and data integrity checks
PI1.2: Error detection and correction procedures
PI1.3: Audit trails for all data processing
Privacy:
P1.1: Privacy policy and data usage disclosure
P2.1: Data subject rights (access, correction, deletion)
P3.1: Data retention and disposal policies
P4.1: Incident response and breach notification
2.2 ISO 27001 Information Security Management
Control Objectives Implemented:
A.5 - Information Security Policies:
Documented security policies and procedures
Regular policy reviews and updates
Employee security awareness training
A.6 - Organization of Information Security:
Defined security roles and responsibilities
Segregation of duties
Contact with authorities and special interest groups
A.9 - Access Control:
Access control policy
User access management
User responsibilities
System and application access control
A.10 - Cryptography:
Cryptographic controls (TLS 1.3, AES-256)
Key management procedures
A.12 - Operations Security:
Change management procedures
Capacity management
Malware protection
Backup procedures
Logging and monitoring
A.14 - System Acquisition, Development and Maintenance:
Secure development lifecycle
Security requirements analysis
Secure coding practices
Security testing
A.16 - Information Security Incident Management:
Incident response procedures
Evidence collection
Lessons learned process
A.18 - Compliance:
Legal and regulatory compliance
Information security reviews
Technical compliance reviews
2.3 GDPR Compliance
AI Control Tower provides GDPR-compliant data processing:
Lawfulness of Processing (Article 6):
Legitimate interest basis for AI monitoring
Consent mechanisms where required
Contractual necessity for service delivery
Data Subject Rights:
**Right of Access (Article 15):** Self-service data export
**Right to Rectification (Article 16):** Profile editing
**Right to Erasure (Article 17):** Account deletion
**Right to Data Portability (Article 20):** JSON/CSV export
**Right to Object (Article 21):** Opt-out mechanisms
Data Protection by Design and Default (Article 25):
Privacy-first architecture
Minimal data collection
Pseudonymization where possible
Encryption by default
Security of Processing (Article 32):
State-of-the-art encryption
Regular security testing
Pseudonymization and encryption
Ability to restore availability
Data Breach Notification (Article 33-34):
72-hour breach notification procedures
Automated breach detection via anomaly detection
Communication templates for data subjects
2.4 HIPAA Compliance
For healthcare organizations, AI Control Tower supports HIPAA compliance:
Administrative Safeguards:
Security Management Process
Assigned Security Responsibility
Workforce Security (background checks, training)
Information Access Management (role-based access)
Security Awareness and Training
Security Incident Procedures
Contingency Plan (disaster recovery)
Physical Safeguards:
Facility Access Controls (cloud data center security)
Workstation Security
Device and Media Controls
Technical Safeguards:
Access Control (unique user IDs, emergency access, encryption)
Audit Controls (comprehensive logging)
Integrity Controls (data validation, checksums)
Person or Entity Authentication (MFA)
Transmission Security (TLS 1.3)
PHI Protection:
Automatic PHI detection in AI decisions
Alert on PHI exposure
Encrypted storage and transmission
Minimum necessary access principle
3. Data Protection
3.1 Data Classification
**Public:** Marketing materials, public documentation
**Internal:** Product roadmaps, internal communications
**Confidential:** Customer data, AI decisions, analytics
**Restricted:** API keys, passwords, encryption keys
3.2 Data Retention
**AI Decisions:** Retained according to customer plan (30 days to unlimited)
**Audit Logs:** Retained for 1 year minimum
**Backups:** 30-day retention for point-in-time recovery
**User Data:** Deleted within 30 days of account closure
3.3 Data Disposal
**Secure Deletion:** Multi-pass overwrite for sensitive data
**Database Deletion:** Hard delete from production and backups
**Backup Expiry:** Automated deletion after retention period
**Media Destruction:** Physical media destroyed per NIST 800-88
4. Incident Response
4.1 Security Incident Classification
Severity Levels:
**P1 (Critical):** Data breach, system compromise
**P2 (High):** Unauthorized access, service disruption
**P3 (Medium):** Policy violation, anomaly detection
**P4 (Low):** Minor security event
4.2 Incident Response Process
1. **Detection:** Automated anomaly detection, user reports
2. **Containment:** Isolate affected systems, revoke access
3. **Investigation:** Root cause analysis, forensics
4. **Eradication:** Remove threat, patch vulnerabilities
5. **Recovery:** Restore services, verify integrity
6. **Lessons Learned:** Post-incident review, improvements
4.3 Notification Procedures
**Internal:** Security team notified within 15 minutes
**Customer:** Notification within 24 hours for P1/P2
**Regulatory:** GDPR 72-hour notification if applicable
**Public:** Public disclosure if required by law
5. Third-Party Security
5.1 Vendor Management
Vendor Selection:
SOC 2 Type II audit reports required
Security questionnaire completion
Contract security terms negotiation
Key Vendors:
**Vercel:** Cloud hosting platform (SOC 2, ISO 27001)
**Supabase:** Database platform (SOC 2, ISO 27001, HIPAA)
**Stripe:** Payment processing (PCI DSS Level 1)
5.2 Data Processing Agreements
Standard Contractual Clauses (SCCs) for EU data
Data Processing Agreements (DPAs) with all vendors
HIPAA Business Associate Agreements (BAAs) available
6. Monitoring & Auditing
6.1 Security Monitoring
Real-Time Monitoring:
Anomaly detection (cost spikes, latency, PII)
Failed authentication attempts
Suspicious access patterns
Rate limit violations
Security Tools:
SIEM integration (Datadog)
Vulnerability scanning (quarterly)
Penetration testing (annual)
Dependency scanning (automated)
6.2 Audit Logging
Events Logged:
User authentication (success/failure)
API key creation/revocation
Data access and modifications
Configuration changes
Policy violations
Security incidents
**Log Retention:** 1 year minimum
**Log Protection:** Tamper-evident, encrypted storage
**Log Access:** Restricted to security team
7. Business Continuity
7.1 Disaster Recovery
Recovery Objectives:
**RTO (Recovery Time Objective):** 4 hours
**RPO (Recovery Point Objective):** 1 hour
Backup Strategy:
Automated daily backups
Point-in-time recovery
Multi-region backup storage
Weekly backup testing
7.2 Incident Response Team
Security Team:
Chief Security Officer (CSO)
Security Engineers
Incident Response Team
24/7 on-call rotation
Escalation Path:
L1: Security Engineer (15 min response)
L2: Senior Security Engineer (30 min response)
L3: CSO/CTO (1 hour response)
8. Security Testing
8.1 Testing Program
Vulnerability Scanning:
Weekly automated scans
Dependency vulnerability checks
Static code analysis
Penetration Testing:
Annual third-party penetration tests
Quarterly internal security assessments
Bug bounty program for responsible disclosure
Security Audits:
SOC 2 Type II audit (annual)
Internal security audits (quarterly)
Code reviews for all changes
9. Employee Security
9.1 Security Awareness
Training Program:
Security onboarding for new hires
Annual security awareness training
Phishing simulation exercises
Incident response drills
9.2 Access Management
Background Checks:
Required for all employees
Enhanced checks for security team
Access Reviews:
Quarterly access reviews
Just-in-time access for sensitive operations
Automated deprovisioning on termination
10. Contact Information
Security Team:
Email: security@aicontroltower.com
PGP Key: Available on request
Bug Bounty: security@aicontroltower.com
Incident Reporting:
24/7 Hotline: +1-xxx-xxx-xxxx
Email: incidents@aicontroltower.com
Response Time: 15 minutes for P1/P2
Compliance Inquiries:
Email: compliance@aicontroltower.com
Audit Coordination: audits@aicontroltower.com
Appendix A: Compliance Certifications
SOC 2 Type II (in progress)
ISO 27001 (planned Q2 2025)
GDPR compliant
HIPAA compliant (BAA available)
Appendix B: Security Controls Matrix
[Detailed mapping of security controls to compliance frameworks]
Appendix C: Incident Response Runbooks
[Step-by-step procedures for common security incidents]
Document Control:
Version: 2.0
Last Updated: November 27, 2025
Next Review: 2/25/2026
Owner: Chief Security Officer
Classification: Confidential
*This whitepaper is provided for informational purposes and represents AI Control Tower's current security practices. Security measures are continuously improved and updated.*
