Data Security
EIM is built on a self-hosted server architecture designed for operators who require full control over their operational data.
Infrastructure can be deployed in dedicated environments, ensuring separation between clients and eliminating shared data exposure. Each company's data remains isolated and controlled within its own environment.
Self-Hosted Deployment
EIM can be deployed in infrastructure that operators fully control. This approach allows operators to meet internal IT, compliance, and data governance requirements.
- Dedicated private servers
- Client-controlled infrastructure
- Isolated cloud environments
- Segmented production environments per company
No cross-client data sharing.
No shared model training across companies.
Authentication & Access Control
EIM includes enterprise-grade access controls. Two-factor authentication adds an additional security layer beyond passwords to protect operational access.
Two-Factor Authentication
2FA adds an additional security layer beyond passwords to protect operational access.
Role-Based Permissions
Control who sees what with configurable role-based access across projects and wells.
Session Management
Secure session handling ensures that access is controlled and time-limited.
Audit Tracking
Full audit trail of user activity for compliance review and operational governance.
Single Sign-On (SSO)
EIM supports Single Sign-On via SAML. User authentication can be managed entirely within the client's identity system.
- Integration with corporate identity providers
- Centralized user management
- Controlled employee onboarding and offboarding
- Alignment with internal IT security policies
AI Model Isolation
AI components within EIM can be deployed in isolated environments. Clients retain control over how models are deployed and where data is processed.
Dedicated Instances
Dedicated AI model instances per company, ensuring no cross-contamination of data or inference results.
Self-Hosted Models
AI models can be hosted within private infrastructure, fully controlled by the operator.
No External Training
Client data is never used to train models for other companies. No shared model training across environments.
Full Separation
Complete separation between operator environments. Data does not leave the secured environment unless explicitly configured.
Data Validation & Integrity
Security is not only about protection from external access - it also ensures internal data reliability. In addition to infrastructure security, EIM enforces data integrity through:
Questions About Security?
Our team can walk you through our security practices and answer any questions.