AI Governance & Trust At RELEX
Last updated on December 19, 2025Responsible by Design: Enterprise-Grade AI Security, Compliance & Transparency
RELEX Solutions delivers AI-powered supply chain and retail planning solutions with a comprehensive governance framework that ensures regulatory compliance, data protection, and operational excellence. Our approach addresses the critical concerns of enterprise technology leaders regarding AI security, transparency, and risk management.
RELEX AI Commitments
✅ Regulatory Compliance: All RELEX products, including Rebot AI assistant, comply with EU AI Act and GDPR requirements
✅ Secure by Design: Enterprise-grade security architecture with ISO 27001 and SOC 2 Type II certifications
✅ Transparent Governance: Systematic AI risk assessment framework with clear documentation and accountability
AI-Specific Safeguards
Hallucination Prevention: Rebot leverages comprehensive RELEX knowledge bases and best practices documentation to provide accurate, domain-specific responses. The system is designed to operate within defined knowledge boundaries.
Human Oversight: AI agents operate under human supervision with appropriate guardrails and approval workflows for autonomous actions.
LLM Agnostic Architecture: Rebot’s infrastructure supports migration between LLM providers, ensuring business continuity and competitive flexibility.
Agentic AI: Autonomous Intelligence with Human Control
RELEX agentic AI combines advanced capabilities with transparency and oversight:
- Defined scope per agent – Each agent operates within its assigned domain and data access
- Human approval required – AI creates drafts and recommendations; humans approve before business impact
- Graduated autonomy – Humans can approve autonomy within predefined guardrails as systems mature
- Explainability – Rebot explains its reasoning through natural language
- Sandbox testing – New behaviors tested in controlled environments before deployment
Why RELEX AI Governance Matters
- Your Data Serves Only You: Models trained on your data serve only your business, never other customers. Optional industry benchmarks and insights require explicit opt-in and use only aggregated, anonymized data
- No Training of Gen AI on Your Data: LLMs do not use customer data for training purposes
- Proven Track Record: No serious security breaches in company history with continuous improvement mindset
- Rapid Threat Response: 20-minute average response time with 24/7 SOC monitoring and automated detection
- Regular Audits: Independent assessments and certifications validate security effectiveness
AI Governance Trust Framework
RELEX’s AI governance framework systematically evaluates all AI products and services across four critical pillars:
| ASSESS | PROTECT |
|---|---|
| Risk Classification – EU AI Act compliance assessment – Risk level categorization – Impact analysis | Security Controls – Data isolation & encryption – Access control mechanisms – 24/7 Security Operations Center |
| MONITOR | COMPLY |
|---|---|
| Continuous Oversight – Threat detection & response – Vulnerability scanning – Performance monitoring | Regulatory Adherence – Documentation & transparency – Incident response protocols |
Regulatory Compliance
EU AI Act Classification
Minimal Risk: Machine learning forecasting and planning solutions are subject to no additional regulatory obligations under the EU AI Act. RELEX conducts voluntary AI risk assessments on all AI systems used as part of RELEX’s product offering to customers.
Limited Risk: Rebot conversational AI assistant meets EU AI Act transparency requirements for chatbot systems. Users are clearly informed they are interacting with AI.
High Risk & Unacceptable: RELEX does not develop, provide, or deploy any AI systems classified as high risk or prohibited under the EU AI Act.
GDPR Compliance
Full compliance with GDPR for data protection, privacy rights, and breach notification procedures. Customers maintain complete control over their personal data with clear data processing agreements and transparent privacy policies.
Data Security & Privacy
AI Model Architecture
| AI Type | Data Protection Approach |
|---|---|
| Customer-Specific ML Models | Each customer has dedicated models trained exclusively on their data by default. Complete data isolation prevents cross-customer data exposure. Your models serve only your business unless you explicitly opt into collaborative programs |
| Generative AI (Rebot) | Built on Microsoft Azure and Google Cloud AI services with enterprise-grade data protection: – Customer data processed within secure, isolated cloud environments – No training on customer data – No data sharing with model providers or third parties – No human review of customer data |
Trusted Sub-Processors
RELEX leverages enterprise-grade AI services from Microsoft Azure and Google Cloud, both with contractual guarantees for data protection and privacy. Complete sub-processor documentation available at:
www.relexsolutions.com/policy/services-processors
Security Certifications
| ISO 27001 | Certified information security management system demonstrating systematic approach to protecting sensitive data. |
| SOC 2 Type II | ISAE 3000 SOC 2 Type II compliance demonstrates 12+ months of sustained security controls effectiveness. Gold standard for service organization security reporting. |
| GDPR | Full compliance with EU data protection regulations including privacy rights, data processing agreements, and breach notification procedures. |
Security Infrastructure
Comprehensive Security Framework
| IDENTIFY | Threat modeling, security inspections, automated vulnerability scanning, regular penetration testing |
| PROTECT | Network segmentation, authenticated encrypted transfers, access controls, mandatory security training |
| DETECT | 24/7 SOC monitoring with 20-minute average response time. 3,300+ automated cases monthly with expert review of critical alerts |
| RESPOND | Incident management protocols with defined roles, containment procedures, and GDPR-compliant breach notification |
| RECOVER | System redundancy, offsite backups on Microsoft Azure, regular disaster recovery testing |
| GOVERN | CISO oversight, Information Security team, steering group, GDPR-compliant governance procedures |
Software Engineering & Quality Assurance
RELEX employs rigorous software development practices to ensure AI systems are safe, legal, secure, and reliable:
- Secure Development Lifecycle: Security-first development with threat modeling for all new features, especially generative AI applications
- Automated Testing: Comprehensive automated security and functionality testing for every software release
- Component Scanning: Continuous automated vulnerability scanning of all software components and dependencies
- Penetration Testing: Regular independent security assessments by qualified third parties
- Rapid Patching: Frequent security updates to address emerging vulnerabilities and threats
- Quality Gates: Multi-stage review process ensures code quality, security compliance, and performance standards
Technical Infrastructure
Data Storage: Snowflake data lake and Microsoft Azure cloud platform with enterprise-grade access controls and encryption.
Network Architecture: Segmented networks prevent lateral movement in case of compromise. All data transfers use encryption and source verification.
Backup & Recovery: Redundant systems ensure service continuity. Regular snapshots stored in Microsoft Azure with tested disaster recovery procedures.
Governance Leadership
Information security and AI governance are managed by:
- Chief Information Security Officer (CISO)
- Information Security Team
- Information Security Steering Group
- Director of RELEX AI (AI Strategy & Development)
Learn More
For detailed information about RELEX AI governance, security certifications, and compliance documentation, please contact your RELEX representative or visit:
www.relexsolutions.com/policy/relex-ai-governance
www.relexsolutions.com/security-compliance