Trust
Security
Enterprise AI requires a higher security standard. Here is how we approach it.
Our security approach
Every Tesseraz engagement involves AI systems that interact with sensitive business data. We treat security not as a feature to be added, but as a design constraint that shapes every architecture decision from the start.
Our security practices are informed by enterprise security frameworks and the specific compliance requirements of the industries we serve — including financial services, healthcare, and professional services.
Infrastructure-first security
Security requirements are designed into every system from the architecture stage — not addressed as an afterthought at the end of delivery.
Data residency by default
Client data stays within client-controlled infrastructure. We do not process client data through third-party services without explicit authorization.
Full audit trail
Every AI system we deploy includes comprehensive logging of inputs, outputs, and decisions — enabling review, investigation, and compliance reporting.
Access control alignment
AI systems inherit and respect the access control policies of the environment they operate in. Permissions are scoped to the minimum required for each function.
Vendor and subprocessor management
We maintain a register of all subprocessors and third-party services used in client engagements. Changes to the subprocessor list are communicated to relevant clients in advance.
Responsible disclosure
If you believe you have discovered a security vulnerability in any Tesseraz system, please contact us at security@tesseraz.com. We take all reports seriously and will investigate and respond promptly.
Compliance frameworks
Our solutions are designed to support client compliance with applicable frameworks including SOC 2, HIPAA, GDPR, and relevant financial services regulations. Specific compliance support is scoped during each engagement based on client requirements.