At Govishi, we believe that enterprise AI must be built on a foundation of trust. Our Data Privacy by Design principle ensures that privacy, security, and compliance are embedded into every solution from the very beginning—not added as an afterthought.
Your Data Stays Within Your Control
Your data never leaves your perimeter unless explicitly approved.
Edge-First Architecture
Edge-first architecture where possible to minimize data movement.
Clear Data Lineage
Clear data lineage tracking for all AI training and inference.
Open-Source Components
Open-source and auditable components where possible.
Full Visibility
Full visibility into model training data sources.
Explainable AI
Explainable AI approaches that document decision paths.
Automated Privacy Assessments
Automated privacy impact assessments.
Granular Access Controls
Granular access controls and audit trails.
Configurable Policies
Configurable retention and deletion policies.
End-to-End Encryption
End-to-end encryption for data in transit and at rest.
Secure Model Deployment
Secure model deployment within your security perimeter.
Regular Testing
Regular penetration testing and vulnerability assessments.
Before any AI solution is designed, we conduct a comprehensive privacy assessment to understand data sensitivity classifications, regulatory requirements, existing privacy controls, and potential privacy risks.
Privacy considerations are embedded into solution architecture with data minimization principles, privacy-preserving techniques, anonymization strategies, and clear data flows with privacy checkpoints.
Privacy controls are built into the technical implementation with secure coding practices, privacy-focused testing, audit logging for all data access, and role-based access controls.
Ongoing privacy governance ensures continued compliance with regular privacy reviews, monitoring for privacy violations, continuous improvement of privacy controls, and documentation for regulatory compliance.
Our privacy frameworks are tailored to meet the unique requirements of regulated industries:
Financial Services
Compliance with GLBA, PCI-DSS, and regional banking regulations. Secure handling of personally identifiable financial information. Transaction data protection and fraud prevention privacy controls.
Healthcare
HIPAA and HITECH compliance built into healthcare AI solutions. PHI protection through advanced anonymization techniques. Patient consent management frameworks.
Retail and Consumer
GDPR, CCPA, and emerging privacy regulation compliance. Consumer preference and consent management. Privacy-first personalization techniques.
Legal & Professional Services
Attorney-client privilege protection. Confidential document handling protocols. Secure collaboration with sensitive client information.