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GPTfy - Salesforce Native AI Platform

Deploy AI on Infrastructure You Already Secured

GPTfy runs inside your Salesforce org. Raw data never leaves. Only masked data reaches your AI provider. Admin controls every callout.

Zero-Trust Architecture Feature
37%

year-over-year increase in time organizations dedicate to managing AI-related security risks (OneTrust, 2025)

Deploy AI without exposing new attack surface

Your security team has enough on their plate. Every new AI tool means another round of vendor questionnaires, data flow maps, and compliance certifications.

6+ Months

The queue never ends

Every team wants AI deployed yesterday. Every new AI tool means another round of vendor questionnaires, data flow maps, compliance certifications, and legal review. The backlog keeps piling up while the rest of the organization waits.

I don't want to send accounts to a separate system.

- CTO, Financial Services

Secure this with Data Masking
Sprawling Surface

More vendors, more painstaking work

Every external API, data copy, and vendor server is another point to monitor. More risk registers. More pen tests. More incident response plans. Tedious, repetitive work that multiplies with every vendor.

It doesn't seem intimidating... very Salesforce-esque.

- IT Director, Facility Services

Secure this with Audit Trails
Shadow AI

Reviews drag on, ChatGPT doesn't wait

While reviews sit in the queue for months, your reps and agents are already using uncontrolled AI. The longer the backlog, the bigger the shadow AI risk - and that creates even more work to clean up.

Business users can work on the platform - not a dev-heavy environment.

- CTO, Financial Services

Connect your model via BYOM Architecture

Raw Data Stays in Salesforce

100% Salesforce-Native Managed Package

Only masked data reaches your AI provider. 4-layer masking, AES-256, TLS 1.2+. Watch the architecture demo.

Admin Controls Every Callout

Named credentials control every AI callout. Field-level security and per-user permissions apply. See privacy controls in action.

Frontend & Security Layers

Three-Tier Architecture

Frontend & Security Layers

Security layer: 4-layer masking, prompt injection detection, audit trails, bias detection, toxicity filtering. Admin-controlled callouts.

AI Backend (BYOM)

Connect Azure, AWS, Google, or Claude via BYOM. Your cloud agreements cover costs. BAA and DPA carry through.

Use Your AI Infrastructure - Not Ours

No Vendor Lock-In

Switch models without rebuilding. Use existing cloud spend at negotiated pricing. See how BYOM works.

Full Transparency & Control

Each prompt is configured once with specific fields, data rules, and AI model, then assigned to user profiles. See prompt management.

No Vendor Lock-In

Why Choose Zero-Trust Architecture

Zero External Data Centers

GPTfy is a managed package inside your Salesforce org. Your data remains in your infrastructure at all times. Only masked, sanitized data transiently reaches your AI provider. Zero GPTfy servers. Zero caching. Zero data copies.

4 Layers of Data Masking Before AI Sees Anything

Field value replacement, regex pattern detection, keyword blocklists, and custom Apex enforcement. All configurable through point-and-click. AI never sees raw PII or PHI.

Clear Security Review in Days, Not Months

No new vendors to validate. No new infrastructure to audit. GPTfy runs on infrastructure you've already secured. Your security team wraps up in days, not months.

Powerful Capabilities

Salesforce-Native Deployment

100% managed package inside your org. No external servers, no data warehouse, no caching layer. Inherits your Salesforce Shield, SSO, and MFA configuration.

Bring Your Own Model (BYOM)

Connect any AI provider: Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic Claude, or on-premise. Switch models without rebuilding prompts.

Admin-Controlled Callouts

Every external connection uses Salesforce named credentials. GPTfy cannot make outbound calls unless your admin explicitly authorizes them.

Data Residency Control

Choose your AI region: US East, EU West, APAC. Your existing hyperscaler contracts, BAAs, DPAs, and compliance certifications carry through automatically.

Key Takeaways

  • 100% Salesforce-native managed package with zero external data centers or caching
  • Named Credentials control every outbound AI callout; admins authorize each connection
  • BYOM architecture connects Azure OpenAI, AWS Bedrock, Google Vertex, or Claude
  • Four-layer PII masking ensures only sanitized data transiently reaches your AI provider
  • Inherits your Salesforce Shield, SSO, and MFA configuration automatically
  • AppExchange security reviewed with Checkmarx SAST scan results available

Frequently Asked Questions

No. GPTfy is a managed package inside your Salesforce org. Your data remains in your infrastructure at all times - only a masked, sanitized version is transiently sent to your AI infrastructure for processing. Zero GPTfy servers. Zero caching. Zero data copies.

Every field is reviewed against your masking rules before anything reaches AI. Four layers: Field value - replace sensitive fields with tokens. Regex - detect and mask PII across structured and unstructured data. Blocklists - mask sensitive terms (competitor names, project codenames) before they reach AI. Custom Apex - your own masking, tokenization, or encryption logic. All configurable through point-and-click.

Completely. Each prompt is configured once - with specific fields, data access rules, and an AI model - then assigned to one or more Salesforce user profiles. Your admin controls exactly who can run what, with which data, on which model. No duplication. No per-profile variants. Standard Salesforce profile management.

Fully. GPTfy calls your AI provider's API directly - Azure OpenAI, AWS Bedrock, Google Vertex - so all hyperscaler-level controls apply. Zero data retention configured on Azure? It applies to every GPTfy prompt. Content filtering, abuse monitoring, regional policies - all respected as per your infosec policies.

Yes. GPTfy runs as a managed package inside your org, so it inherits your Shield implementation. Platform Encryption, Event Monitoring, and Field Audit Trail all work as configured. If you've invested in Shield, that investment extends to your AI deployment with no additional configuration.

AppExchange security approval documentation, Checkmarx SAST scan results, SOC 2-equivalent trust packet, shared responsibility matrix, data governance and access control policies, and incident response procedures. Available at gptfy.ai/trust-center.

Your Data Never Leaves Your Infrastructure

Clear security review in days, not months. GPTfy's Security & Trust Layer runs inside your org. Your admin controls every callout.