Overview
Data Privacy & Compliance
NeuralTrust ensures complete data privacy and regulatory compliance for AI monitoring through privacy-by-design architecture and automated compliance controls. Your sensitive data stays protected while maintaining full monitoring capabilities.
Privacy Architecture
Data Sovereignty Model
NeuralTrust’s data sovereignty model ensures that your most sensitive information never leaves your cloud environment. All data processing occurs within your own infrastructure, giving you complete control over your data while still benefiting from advanced AI monitoring capabilities.
Our architecture separates sensitive data processing from control plane management. Your personal data, proprietary information, and confidential AI models remain in your environment, while only privacy-safe metadata is shared with our Control Plane for system management and compliance analytics.
Key sovereignty features include:
- Your Environment: All data processing occurs within your cloud environment
- Zero Data Export: No sensitive data leaves your infrastructure
- Encrypted Communication: Only privacy-safe metadata shared with Control Plane
- Customer Keys: You control all encryption keys and data access
Privacy-by-Design Features
Privacy protection is built into every layer of our AI monitoring platform, not added as an afterthought. Our systems automatically identify and protect sensitive information while ensuring that monitoring capabilities remain powerful and comprehensive.
The platform implements intelligent data classification that automatically detects personally identifiable information (PII), protected health information (PHI), and other sensitive data types. This classification drives automated protection measures that scale with your data volume and complexity.
Core privacy features include:
- Automatic Data Classification: AI identifies and protects PII and sensitive data
- Data Minimization: Only necessary data collected for monitoring purposes
- Purpose Limitation: Data used only for specified monitoring objectives
- Retention Controls: Automatic deletion based on configurable policies
Global Compliance
Supported Regulations
NeuralTrust provides comprehensive compliance with major global privacy regulations, ensuring your AI monitoring systems meet legal requirements across multiple jurisdictions. Our compliance framework adapts to regional requirements while maintaining consistent protection standards.
| Regulation | Coverage | Key Features |
|---|---|---|
| GDPR | European Union | Data subject rights, consent management, breach notification |
Automated Compliance
Our compliance automation reduces the burden of manual privacy management while ensuring consistent adherence to regulatory requirements. The system continuously monitors compliance status and automatically implements corrective measures when needed.
Legal basis documentation is automatically generated and maintained for all data processing activities, providing clear justification for monitoring operations. When individuals exercise their privacy rights, our automated systems can fulfill most requests within hours rather than weeks.
Automated compliance features include:
- Legal Basis Documentation: Automatic justification for all data processing
- Rights Management: Automated handling of access, deletion, and portability requests
- Breach Detection: Real-time privacy incident detection and notification
- Audit Trails: Complete logging of all data access and processing activities
Data Subject Rights
Automated Rights Processing
Individual privacy rights are fundamental to modern data protection, and NeuralTrust makes exercising these rights simple and efficient. Our automated processing system can handle most privacy requests without human intervention, providing faster responses and better user experiences.
When someone requests access to their data, our system automatically locates all relevant information across your AI monitoring infrastructure and generates comprehensive reports in machine-readable formats. Data corrections propagate instantly across all systems, ensuring accuracy and consistency.
Right of Access: Complete data export in machine-readable formats within 24 hours Right to Rectification: Automated data correction across all systems Right to Erasure: Secure deletion with cryptographic verification Right to Portability: Standard format exports (JSON, CSV, XML)
Privacy-Enhancing Technologies
Advanced Protection Methods
NeuralTrust incorporates cutting-edge privacy-enhancing technologies that provide mathematical guarantees of privacy protection. These technologies enable powerful AI monitoring while ensuring that individual privacy is preserved even against sophisticated attacks.
Differential privacy adds carefully calibrated statistical noise to AI model training, preventing individual identification while preserving the analytical utility needed for effective monitoring. Homomorphic encryption enables computation on encrypted data, allowing AI inference without exposing sensitive information.
Federated learning approaches enable decentralized AI model training that keeps personal data at source systems while enabling collaborative model development. Secure enclaves provide hardware-based protection for the most sensitive AI processing operations.
Differential Privacy: Mathematical privacy guarantees for AI model training Homomorphic Encryption: Computation on encrypted data without exposure Federated Learning: Decentralized AI training without data sharing Secure Enclaves: Hardware-based protection for sensitive processing
Data Protection Controls
Comprehensive encryption protects data throughout its lifecycle, from initial collection through processing, storage, and eventual deletion. Our zero-knowledge architecture ensures that NeuralTrust personnel cannot access your raw data, even for support purposes.
Advanced anonymization techniques remove identifying information while preserving the statistical properties needed for AI monitoring. When testing and development require realistic data, synthetic data generation creates artificial datasets that maintain analytical utility without privacy risks.
Protection controls include:
- End-to-End Encryption: AES-256 encryption for all data at rest and in transit
- Zero-Knowledge Architecture: NeuralTrust cannot access your raw data
- Anonymization: Advanced techniques to remove identifying information
- Synthetic Data: Generate artificial datasets for testing and development
Cross-Border Data Transfers
Regional Compliance
Data residency requirements vary by jurisdiction, and NeuralTrust provides flexible deployment options that keep data within specified geographic boundaries. EU data can be processed and stored entirely within EU/EEA regions, while US data sovereignty ensures compliance with domestic requirements.
Multi-regional support enables organizations to deploy AI monitoring across multiple jurisdictions while maintaining appropriate data residency for each region. Regulatory mapping automatically ensures compliance with local data protection laws as they evolve.
Regional features include:
- EU Data Residency: Process and store data within EU/EEA
- US Data Sovereignty: Maintain data within US boundaries
- Multi-Regional Support: Flexible deployment across global regions
- Regulatory Mapping: Automatic compliance with local data protection laws
Privacy Monitoring & Auditing
Continuous Monitoring
Privacy compliance requires ongoing vigilance, and NeuralTrust provides real-time monitoring of privacy control effectiveness. Automated systems track data flows, monitor consent status, and detect potential privacy issues before they become violations.
Compliance dashboards provide visual tracking of privacy KPIs and metrics, enabling proactive management of privacy risks. When potential issues are detected, automated alerts ensure immediate attention and rapid remediation.
Monitoring capabilities include:
- Real-Time Compliance: Live monitoring of privacy control effectiveness
- Automated Alerts: Immediate notification of potential privacy issues
- Compliance Dashboards: Visual tracking of privacy KPIs and metrics
- Risk Assessment: Ongoing evaluation of privacy risks and mitigation
Audit & Certification
Independent validation of privacy controls provides assurance to stakeholders and demonstrates commitment to privacy excellence. Annual SOC 2 Type II audits validate security and privacy controls, while ISO 27001 certification demonstrates comprehensive information security management.
Privacy certifications provide industry-standard validation of privacy compliance, and regular penetration testing ensures that privacy controls remain effective against evolving threats.
Audit programs include:
- SOC 2 Type II: Annual independent security and privacy audits
- ISO 27001: Information security management certification
- Privacy Certifications: Industry-standard privacy compliance validation
- Penetration Testing: Regular security testing of privacy controls
Implementation Support
Privacy Assessment
Successful privacy implementation begins with comprehensive understanding of your data landscape. Our privacy assessment process identifies all personal data in your AI systems, evaluates current protection measures, and develops tailored implementation strategies.
The assessment includes data mapping to identify sources and flows, legal basis review to determine appropriate foundations for processing, risk assessment to evaluate privacy risks and mitigation strategies, and control implementation planning to deploy technical and organizational measures.
Assessment process:
- Data Mapping: Identify all personal data in your AI systems
- Legal Basis Review: Determine appropriate legal foundations
- Risk Assessment: Evaluate privacy risks and mitigation strategies
- Control Implementation: Deploy technical and organizational measures
Ongoing Management
Privacy compliance is an ongoing commitment that requires regular attention and continuous improvement. Quarterly reviews assess the effectiveness of privacy controls and identify opportunities for enhancement.
Policy updates ensure that privacy practices remain current with evolving regulations and business requirements. Training programs keep your team informed about privacy best practices and regulatory changes, while 24/7 support provides expert assistance when needed.
Management features include:
- Quarterly Reviews: Regular assessment of privacy control effectiveness
- Policy Updates: Automatic updates for regulatory changes
- Training Programs: Privacy education for your team
- 24/7 Support: Expert privacy assistance when needed
Legal Framework
Data Processing Addendum
Our comprehensive Data Processing Addendum (DPA) forms an integral part of our Terms of Service and governs all personal data processing activities. The DPA ensures compliance with applicable data protection laws including GDPR, CCPA, and other regional privacy regulations.
The DPA includes:
- Standard Contractual Clauses: EU-approved mechanisms for international data transfers
- UK Addendum: International Data Transfer Addendum for UK transfers
- Subprocessor Management: Transparency and control over third-party processors
- Security Measures: Technical and organizational security requirements
- Data Subject Rights: Procedures for handling individual privacy requests
- Breach Notification: 72-hour notification requirements for security incidents
Data Protection Officer
For questions about data privacy, data subject rights, or compliance requirements, contact our Data Protection Officer:
Victor Garcia, CTO
Email: dpo@neuraltrust.ai
Company: NeuralTrust
🔒 Privacy Guarantee: NeuralTrust provides military-grade privacy protection with complete data sovereignty, automated compliance, and zero-trust architecture that ensures your sensitive AI data remains private and secure.