Data protection
Minimize data exposure, classify sensitive information and apply retention controls appropriate to operational use.
Security
Control and accountability for operational AI.
EvoryAlytics is designed with enterprise security requirements in mind. Specific controls and deployment configurations are defined with each customer.
Access control
Role- and policy-based access principles restrict data, capabilities and actions to authorized identities.
Encryption principles
Support encryption in transit and at rest using deployment-appropriate standards and key management.
Auditability
Record significant data access, model outputs, approvals, agent actions and workflow transitions.
AI governance
Define permitted tools, thresholds, confidence requirements and escalation paths for each agent role.
Human approval
Keep consequential, exceptional and out-of-policy decisions with authorized people.
Deployment options
Architecture may be adapted to cloud or private-cloud requirements subject to technical discovery.
Integration security
Use scoped service identities, input validation, least privilege and controlled connector boundaries.
Operational resilience
Design for failure isolation, recovery, replay protection and graceful degradation where appropriate.
Transparent posture
No unsupported claims.
This page describes product design principles, not completed certifications or universal guarantees. Security controls, data residency, integration boundaries and assurance requirements should be validated during solution design.
Discuss security requirements