Govern Every AI Interaction in Salesforce

Enforce PII masking, audit trails, and output rules on every prompt execution through GPTfy's built-in Security Layer

Your AI runs. Nobody audits it.

Teams adopt AI faster than governance can keep up. Without built-in controls, every AI interaction is an untracked compliance risk waiting for an auditor to find it.

64% of AI Interactions

Have no audit trail whatsoever

Most AI integrations log nothing. No record of which user triggered the request, what data was sent, or which model processed it. When auditors ask for evidence of AI governance, teams scramble to reconstruct what happened.

“Liked the easy and click/no-code way to configure GPT LLMs on any Salesforce object and go-live in days.”

- Gurditta Garg, Chief Salesforce Evangelist, Motorola

Secure this with Security Layer

42% of PII

Reaches AI models completely unmasked

Customer names, email addresses, phone numbers, and health data flow directly to third-party AI models. Teams assume the platform handles it. It does not. One data subject access request exposes the gap.

“The implementation was smooth and the results exceeded expectations.”

- Rishi Golyan, Salesforce Consultant, Algocirrus

Build prompts with Prompt Builder

78% of Compliance Teams

Have zero visibility into AI model usage

Compliance officers cannot answer basic questions: which AI models are active, who is using them, or what data they process. Shadow AI proliferates while governance teams write policies nobody follows.

“Finally an easy to use AI solution which would not only help you manage daily tasks efficiently but also give you the power to interpret large datasets to make business decisions effectively.”

- Ashwin Kotian, AVP, ICICI Lombard

Connect your model via BYOM framework

AI Without Governance Fails

Uncontrolled AI usage creates regulatory exposure

When teams start using AI with customer data, compliance risk grows exponentially. Without controls, PII flows to third-party models, AI generates responses that include prohibited claims, and nobody can trace which model processed which data. For regulated industries (healthcare, financial services, insurance), this is not just a risk, it is an audit finding.

GPTfy provides compliance controls through the Security Layer

GPTfy's S.P.E.C. framework (Security, Privacy, Ethics, Compliance) enforces governance rules on every AI interaction. PII masking happens automatically before data reaches any model. Output rules block prohibited phrases and enforce required disclaimers. Full audit trails log every prompt execution, model used, data sent, and response received.

Uncontrolled AI usage creates regulatory exposure

Complete Audit Trail Built In

Every prompt execution is logged via Security Audit Records

GPTfy logs the full lifecycle of every AI interaction: which user triggered the prompt, what Salesforce data was sent, which model processed it, what response was returned, and how long it took. Compliance teams can query these logs to demonstrate regulatory adherence during audits without disrupting business operations.

Output rules enforce brand and regulatory standards

Define rules that block specific phrases, enforce required disclaimers, or flag responses that mention competitors or make unsupported claims. GPTfy's Output Rules run on every AI response before it reaches the user. Non-compliant responses are caught, flagged, and optionally re-generated with corrected instructions.

Model Governance Without Lock-In

Control which AI models your teams use

GPTfy's BYOM architecture lets admins approve specific AI models for specific use cases. Sales teams might use GPT-4o for email generation while compliance-sensitive case summaries route to a private Azure deployment. Each model connection uses Salesforce Named Credentials, and model assignment happens at the prompt level.

PII masking works across all models via the Security Layer

Regardless of which AI model processes the request, GPTfy's security layer masks personally identifiable information so that raw data never leaves your infrastructure. Contact names, email addresses, phone numbers, and custom-defined sensitive fields are anonymized before reaching your AI provider and re-mapped in the output. No model-specific configuration required.

Why Choose AI Ethics & Compliance

Full Audit Trails on Every AI Interaction

Every prompt execution is logged with user, timestamp, data sent, model used, and response returned. Compliance teams can demonstrate regulatory adherence without disrupting business operations.

PII Protection That Meets Compliance Standards

Four-layer data masking anonymizes names, emails, phone numbers, and custom-defined sensitive fields before data reaches any AI model. No manual configuration per model required.

Governance Without Friction

Output rules, model controls, and PII masking run automatically on every AI interaction. Teams get compliant AI usage without changing their workflows or waiting on compliance approvals.

Powerful Capabilities

4-Layer Data Masking

GPTfy's Security Layer applies regex, dictionary, Salesforce field-level, and AI-assisted masking to strip PII and PHI so raw data never leaves your infrastructure. Only masked data reaches your AI provider.

AI_Response__c Audit Logging

Every AI interaction writes a Security Audit Record capturing the user, prompt template, Salesforce data sent, model endpoint, response content, and execution duration.

Role-Based Access Controls

Assign specific AI models and prompt templates to specific user profiles and permission sets. Sensitive use cases route to private deployments while standard tasks use shared endpoints.

Compliance Reporting Dashboard

Pre-built reports surface AI usage volume, masking events, output rule violations, and model distribution across your org, ready for audit reviews without custom development.

Key Takeaways

S.P.E.C. framework enforces Security, Privacy, Ethics, and Compliance on every prompt
Four-layer PII masking runs automatically before data reaches any AI model
Every prompt execution logs a Security Audit Record with full input/output traceability
Output rules block prohibited phrases and enforce required disclaimers automatically
BYOM lets admins assign specific AI models to specific use cases via Named Credentials
Role-based access controls assign prompts and models per Salesforce profile

Frequently Asked Questions

S.P.E.C. stands for Security, Privacy, Ethics, and Compliance. It is GPTfy's governance framework that enforces PII masking, audit trails, output rules, and model controls on every AI interaction within Salesforce.

GPTfy's Security Layer automatically identifies and masks personally identifiable information (names, emails, phone numbers, and custom-defined sensitive fields) before any data is sent to an AI model. Masked values are re-mapped in the output so the final result references correct Salesforce records.

Yes. GPTfy's AI Connection framework lets admins assign specific models to specific prompts. You can route sensitive case data to a private Azure deployment while allowing sales emails to use a different provider, all managed through Named Credentials.

GPTfy is a Salesforce-native managed package that inherits your org's security model. PII masking, Security Audit Records, and output rules provide the controls needed for GDPR and HIPAA compliance. Every AI interaction is logged and auditable.

GPTfy's role-based access controls assign specific AI models and prompt templates to specific user profiles and permission sets. Each team can have its own approved prompts, model assignments, and output rules. The Compliance Reporting Dashboard provides org-wide visibility so governance teams monitor all AI usage from a single view.

GPTfy's governance controls are built into the managed package and activate immediately upon installation. PII masking and audit logging run automatically on every AI interaction. Configuring output rules, model assignments, and role-based permissions typically takes a few hours using the no-code admin interface.

See AI Governance Controls Live

30 minutes. See how GPTfy enforces PII masking, audit trails, and output rules on every AI interaction in your Salesforce org.

Book a Demo