Trust, Security, and Compliance Built Into Every Flight
At AlarisPro, safeguarding your operational data and maintaining the highest standards of compliance, reliability, and privacy isn't an afterthought, it's our mission.
SOC 2 Type II Certified | 99.9% Platform Uptime | 100% U.S. Based Hosting
Security
- SOC 2 Type II Certified
- Enterprise-grade encryption
- Role-based access control and MFA
- Regular penetration testing and vulnerability scanning
- Endpoint protection across all user and server environments
- Continuous monitoring and automated threat detection
- Secure Software Development Lifecycle (SSDLC) practices
Compliance Excellence
- Continuous compliance monitoring and audit readiness
- FAA Part 108 BVLOS and Part 135 operational alignment
- GDPR and CCPA data privacy compliance
- Industry regulatory alignment
- NASA SBIR federally funded Digital Twin research partnership
- USAIG Performance Vector Unmanned partnership program
Reliability & Uptime
- 99.9% platform availability backed by redundant cloud infrastructure
- Real-time system health monitoring and automated incident alerts
- Daily encrypted backups with multi-region redundancy
- Tested disaster recovery protocols and business continuity procedures
Data Privacy & Ownership
- Operators and manufacturers retain full ownership of operational data.
- AlarisPro’s Digital Twin Data Lake uses anonymized and de-identified information for fleet-wide safety analytics
- Clear data retention and deletion policies meeting FAA and GDPR standards
- Transparent data-sharing agreements with OEM and regulatory partners.
- Sub-processors: AWS (US Gov Cloud), HubSpot, Google Workspace, MS Outlook
Responsible Innovation & Ethical AI
At AlarisPro, our Digital Twin AI governance emphasizes robust model validation and human-in-the-loop oversight. We ensure responsible development and deployment of advanced analytics that enhance safety without compromising transparency or fairness.
- Documented AI Safety Framework for Digital Twin technology (link)
- Regular internal model audits and explainability reviews
- Bias detection and performance validation across diverse datasets
- Alignment with NASA AISR standards and FAA AI ethics initiative