Ensuring Model Security

TrustLogix monitors and alerts for lifecycle events in AI model management, facilitating swift identification and investigation of suspicious or unauthorized modifications. It oversees updates to access controls and unforeseen alterations to model versioning, excessive access granted to agents (Data workers), unprotected sensitive data, and other related data security configurations ensuring comprehensive security for AI models. Users get alerts on any deviations from the recommended posture by NIST/CIS.

Protecting the Data used in Inference & Training

TrustLogix simplifies managing access permissions to GenAI Apps using a templated approach consistent across data platforms. This ensures unauthorized actions are blocked. Additionally, users can define RBAC policies, implement tagging and classification for fine-grained control at the column level and row access policies.

Centralized permission management also enables a transparent understanding of data and service access in terms of Who is accessing what models, What sensitive data they are accessing and When they accessed the model. This visibility helps in auditing & Compliance.

Using AI within Data Security - TrustLogix Copilot

TrustLogix Copilot serves as the cornerstone of our intelligent data access policy recommendation engine, integrating artificial intelligence with proactive data security governance. The Copilot provides a quick overview and recommendation to key security risks such as Unmasked sensitive data, overly granted privileges, Security misconfigurations and Dark Data Objects.