Mask PII. Audit AI Calls. Trust But Verify.

GPTfy's Security Layer provides comprehensive compliance through multi-layer data masking, field-level security controls, and 100% audit trail coverage. The system automatically identifies and masks sensitive PII/PHI using pattern-based detection, while maintaining detailed logs of all AI interactions. This ensures compliance with GDPR, HIPAA, and CCPA requirements while preserving data context for quality AI responses. Watch the security architecture demo at /resources/demo/security-architecture for a full walkthrough.

Yes, the Security Layer is designed for declarative configuration without requiring coding. Salesforce Admins can use point-and-click tools to set up field-level security, define masking rules, and configure role-based access controls. The system integrates with existing Salesforce permission sets and profiles, making it easy to align AI security with your current security framework.

GPTfy's PII masking operates at the Salesforce boundary before any API call to external AI models. Pattern-based detection and configurable regex rules identify SSNs, credit cards, emails, and phone numbers in the prompt text. Sensitive values are replaced with tokens (e.g., [NAME_1], [SSN_1]) before the callout. The AI processes the masked prompt, and GPTfy reverses the masking in the response - so your team sees real data, but the AI model never does. See the privacy compliance walkthrough at /resources/demo/privacy-compliance.

GPTfy's delegated administration model lets security teams define global masking policies while individual business units configure department-specific rules. For example, your finance team can enforce full redaction on account numbers while your HR team applies partial masking on employee IDs. Each department's rules are layered on top of global policies, and all configurations are managed through the Security Layer's declarative interface without code changes.

Every AI prompt execution creates an AI_Response__c record containing the original prompt text, the masked version sent to the AI model, the AI response, the user who initiated the request, and a timestamp. These records are queryable through standard Salesforce reports and can be filtered by user, prompt type, data sensitivity level, or date range. Retention periods are configurable through GPTfy's data retention console to meet GDPR data minimization and HIPAA record-keeping requirements.

The Security Layer is applied universally across every GPTfy feature. Whether data passes through the Prompt Builder, RAG pipeline, Einstein Chatbot enhancement, Experience Cloud AI, or Flow-triggered prompts, PII masking and field-level security are enforced before any API callout. This centralized approach means security teams configure masking rules once, and they apply consistently across all AI interactions within your Salesforce org.