Security & Data Protection

Encryption at Rest

All data stored on our systems is encrypted using industry-standard encryption:

• AES-256 Encryption: Military-grade encryption for all stored data
• Database Encryption: Transparent Data Encryption (TDE) for all databases
• Backup Encryption: All backups are encrypted before storage
• Key Management: AWS KMS and HashiCorp Vault for secure key storage
• Hardware Security Modules: FIPS 140-2 Level 3 certified HSMs for cryptographic operations

Encryption in Transit

Data moving between systems and users is protected using:

• TLS 1.3: Latest transport layer security for all connections
• Perfect Forward Secrecy: Unique session keys prevent retrospective decryption
• Certificate Pinning: Protection against man-in-the-middle attacks
• End-to-End Encryption: Available for sensitive AI agent conversations
• VPN Support: Encrypted tunnels for enterprise deployments

AI Model Security

Special protections for AI/ML models and training data:

• Model Encryption: All AI models are encrypted at rest and in transit
• Secure Inference: Isolated execution environments for AI predictions
• Training Data Protection: Customer data is never used to train public models without explicit consent
• Federated Learning: Train models without centralizing sensitive data
• Differential Privacy: Protect individual data points in aggregated analytics

Multi-Factor Authentication (MFA)

• MFA required for all user accounts
• Support for TOTP, SMS, email, and hardware tokens (YubiKey, etc.)
• Biometric authentication (fingerprint, Face ID) for mobile apps
• Conditional MFA based on risk factors (location, device, behavior)

Role-Based Access Control (RBAC)

• Granular permissions based on job function and need-to-know
• Principle of least privilege—users only get minimum necessary access
• Automatic access revocation on role change or termination
• Regular access reviews and recertification

Single Sign-On (SSO) & Identity Management

• SAML 2.0 and OAuth 2.0 support for enterprise SSO
• Integration with Okta, Azure AD, Google Workspace, OneLogin
• Just-In-Time (JIT) user provisioning
• Automated user lifecycle management via SCIM

API Security

• API key authentication with rate limiting
• JWT tokens with short expiration times
• OAuth 2.0 for third-party integrations
• IP whitelisting for sensitive operations
• API request signing to prevent tampering

Secure Software Development Lifecycle (SSDLC)

• Security requirements defined in design phase
• Threat modeling for all new features
• Secure coding standards and training for developers
• Code review process with security checkpoints
• Automated security testing in CI/CD pipeline

Vulnerability Management

• Static Analysis (SAST): SonarQube, Checkmarx for code scanning
• Dynamic Analysis (DAST): OWASP ZAP, Burp Suite for runtime testing
• Dependency Scanning: Snyk, Dependabot for third-party vulnerabilities
• Container Scanning: Trivy, Clair for Docker image vulnerabilities
• Penetration Testing: Annual third-party pentests and bug bounty program

OWASP Top 10 Protection

• SQL Injection prevention via parameterized queries and ORMs
• Cross-Site Scripting (XSS) protection with Content Security Policy
• CSRF protection using tokens and SameSite cookies
• Broken authentication prevention with strong password policies
• Sensitive data exposure prevention through encryption and masking
• Security misconfiguration prevention via IaC and automated hardening
• XML External Entity (XXE) prevention by disabling external entities
• Insecure deserialization protection through input validation

24/7 Security Operations Center (SOC)

• Real-time monitoring of all systems and applications
• SIEM (Security Information and Event Management) with Splunk/ELK
• Automated alerting for suspicious activities
• Threat intelligence integration for proactive defense
• Log aggregation and retention for forensic analysis

Incident Response Plan

We maintain a comprehensive incident response plan covering:

• Detection: Automated systems identify potential security incidents
• Containment: Immediate isolation of affected systems
• Eradication: Remove threat actors and close vulnerabilities
• Recovery: Restore services with enhanced security
• Post-Incident Review: Root cause analysis and lessons learned
• Communication: Timely notification to affected parties as required by law

Security Incident Categories

• Data breach or unauthorized access
• Malware or ransomware infection
• Denial of service attacks
• Insider threats or policy violations
• AI model poisoning or adversarial attacks
• Supply chain security incidents

GDPR Compliance (UK & EU)

• Lawful basis for data processing clearly documented
• Data minimization—only collect what's necessary
• Purpose limitation—data used only for stated purposes
• Storage limitation—data deleted when no longer needed
• Data subject rights—access, rectification, erasure, portability
• Privacy impact assessments for high-risk processing
• Data Protection Officer (DPO) appointed and accessible

UK Data Protection Act 2018

• Compliance with UK GDPR post-Brexit
• ICO (Information Commissioner's Office) registration
• Adherence to UK data protection principles
• Standard contractual clauses for international transfers
• Privacy notices in plain English

Data Residency & Sovereignty

• UK Data Centers: Primary data storage in UK AWS regions (London)
• EU Data Centers: EU customer data stored in Frankfurt/Ireland
• No US Transfers: UK/EU data not transferred to US unless explicitly requested
• On-Premise Option: Full data sovereignty for sensitive industries
• Data Localization: Compliance with local data residency laws

Backup Strategy

• Continuous Backups: Real-time replication of critical data
• Automated Daily Backups: Full system backups every 24 hours
• Geo-Redundant Storage: Backups replicated across multiple regions
• Immutable Backups: Protection against ransomware deletion
• Retention Policy: 30 daily, 12 monthly, 7 yearly backups
• Backup Encryption: AES-256 encryption for all backups
• Regular Testing: Quarterly restore drills

Business Continuity

• RPO (Recovery Point Objective): < 5 minutes data loss
• RTO (Recovery Time Objective): < 1 hour for critical systems
• High Availability: Multi-AZ deployment with automatic failover
• Disaster Recovery Plan: Tested annually with simulated disasters
• Alternative Sites: Ready-to-activate backup infrastructure

AI Model Security

• Model Poisoning Protection: Data validation and anomaly detection in training data
• Adversarial Attack Defense: Input sanitization and adversarial training
• Model Extraction Prevention: Rate limiting and query monitoring
• Prompt Injection Protection: Input validation and sandboxing for LLMs
• Model Watermarking: Embedded signatures to detect model theft
• Secure Inference: Isolated containers for model execution

AI Ethics & Governance

• AI Ethics Board overseeing model development
• Bias detection and mitigation in AI models
• Explainable AI (XAI) for transparency
• Human-in-the-loop for critical decisions
• Regular audits of AI behavior and outputs

Data Protection in AI Training

• Opt-in only for using customer data in model training
• Anonymization and pseudonymization of training data
• No personal data in public models
• Right to data deletion extends to AI models
• Private models for enterprise customers

Bug Bounty Program

• Public bug bounty program on HackerOne
• Rewards from £100 to £10,000 based on severity
• Scope includes all production systems and applications
• Fast response times—acknowledgment within 24 hours
• Hall of Fame for responsible researchers

Responsible Disclosure Policy

If you discover a security vulnerability, please:

• Email security@tenthmatrix.com with details
• Provide sufficient information to reproduce the issue
• Give us reasonable time to fix before public disclosure (90 days)
• Do not access, modify, or delete user data
• Do not perform DoS attacks or social engineering