Motion Analytics is committed to delivering enterprise-grade private AI deployments while maintaining the highest standards of data security, zero-exposure architecture, and infrastructure reliability. Your organizational data never leaves your own approved environment — by design, not by policy alone.
1. Hosting & Infrastructure. All private AI deployments are hosted inside your own infrastructure — on-premise, in your private cloud, or within a dedicated VPC you control entirely. We never co-host your AI workloads on shared infrastructure. Your environment is provisioned with automated scaling, backups, and disaster recovery systems fully under your governance.
2. Data Encryption. All data is encrypted in transit using TLS 1.2+ and at rest using AES-256. Sensitive configuration and model credentials are managed through your own secrets management tooling, with no encryption keys held or accessible by Motion Analytics at any time.
3. Authentication & Access Control. Support for SSO/SAML and MFA is available across all AI interfaces. Role-based access control (RBAC) is enforced at the model inference layer. Admin access is audit-logged and scoped to principle of least privilege, with all access events fully traceable and exportable for compliance reporting.
4. Compliance Standards. Our private AI architecture is purpose-built to satisfy GDPR, SOX, SOC 2, PIPEDA, and HIPAA requirements. No organizational data, prompts, outputs, or metadata ever crosses outside your approved perimeter. Full compliance architecture documentation is available to qualified enterprise clients under NDA.
5. Uptime SLA. We guarantee 99.9% uptime across all enterprise private AI deployments, monitored with automated alerts, structured logging, and health checks. Incident response procedures and escalation paths are defined in your Support Plan agreement and tested quarterly.
6. Data Residency & Retention. All AI model inference and organizational data remains exclusively in the infrastructure region you designate. Data retention policies are fully configurable per engagement, and deletions are cryptographically wiped with confirmation provided upon request.
7. Client Isolation. Each client's private AI environment is fully isolated — containerized and deployed in logically and physically separated infrastructure using IAM-based boundary controls. There is zero shared tenancy and zero cross-client data accessibility at any infrastructure layer.
8. Penetration Testing & Audits. Third-party penetration tests are performed annually against deployed environments. Internal vulnerability scans are performed quarterly, and patches are deployed automatically or within 24 hours of identification to keep your AI infrastructure continuously hardened.
9. Contact & Security Questions. For enterprise security reviews, compliance documentation requests, or technical infrastructure inquiries, please email info@motionanalyticstech.com