MINA AI is designed around practical safeguards for customer conversations, business data, access control, and platform reliability.
Security posture
Controls across product and operations
Encrypted traffic
TLS protection for data in transit
Role-based access
Least-privilege internal access
Operational monitoring
Issues reviewed and acted on
Data handling
Retention and deletion controls
Principles
These principles guide how we design controls, review risks, and operate the MINA AI platform.
Information is handled only by authorized people and systems.
Controls help keep customer and business data accurate and consistent.
Core systems are designed so authorized users can access them when needed.
Policies are reviewed against relevant security and privacy requirements.
Controls
Security is treated as part of product development, platform operations, and data handling.
Internal policies and controls are reviewed so our operating practices stay aligned with security expectations.
Product changes are developed with secure coding practices and reviewed before they reach production.
Infrastructure is protected with layered controls to reduce exposure and monitor unusual activity.
Customer data is protected with access controls, encryption, and careful handling procedures.
Continuous review keeps the security program active after launch, not only during implementation.
Systems are monitored for issues that may affect security or availability.
Security patches and dependency updates are handled as part of regular maintenance.
Access is granted based on role, purpose, and least-privilege principles.
Incidents are reviewed, contained, and followed up with corrective action.