AI Compliance & Trust
Ensure responsible AI deployment by aligning compliance with trust, enhancing safety and privacy in every technological initiative.
Trust-by-Design Framework
We embed trust in AI systems from the ground up. Our approach ensures transparency, fairness, and accountability throughout your AI projects.
AI Regulatory Mapping
Identify where and how AI systems intersect with key legal frameworks (GDPR, HIPAA, SOC 2, etc.). Map each AI use case to its applicable regulatory obligations.
Data Governance for AI
Define policies for how data used in AI (training, inference, retrieval, etc.) is collected, stored, accessed, and deleted, in compliance with regulations.
Risk Register for AI Models
Data Traceability & Audit Trail
Specify how data lineage is tracked, including prompt flows, model interactions, and data access. Support for logging and transparency across systems.
Third-Party AI Compliance Evaluation
Define criteria for evaluating external AI tools or APIs to ensure compliance with internal and legal standards.