Case Studies·Enterprise Software / Data Privacy & Compliance

Privacy-First LLM Proxy: How a SaaS Company Integrated OpenAI and Anthropic Without Exposing Customer PII

How EnDevSols built a custom LLM proxy with automated PII detection, redaction, and audit logging — enabling a SaaS team to use OpenAI, Anthropic, and Google LLMs on sensitive data with access controls and human review gates.

Privacy-First LLM Proxy: How a SaaS Company Integrated OpenAI and Anthropic Without Exposing Customer PII

The Challenge

Our client, a high-growth compliance startup, sought to bridge the gap between enterprise AI adoption and strict data residency requirements. They identified that major corporations were banning Generative AI tools due to the inherent risk of sensitive data being used to train third-party models or leaked during prompt submission.

Core Problem

Existing redaction tools were too slow for real-time chat or failed to catch PII hidden in complex formats like images and PDFs. Furthermore, the client lacked a monetized, scalable infrastructure that could handle multi-provider LLM integration while providing a high-fidelity audit trail for compliance officers.
Without a robust, automated scrubbing mechanism, the client’s enterprise users faced a choice between total AI stagnation or risking multi-million dollar fines under GDPR, CCPA, and HIPAA regulations.

The Solution

EnDevSols engineered a secure AI proxy platform featuring a 'two-pass' PII detection system. This architecture intercepts every prompt, applies advanced NLP and Vision LLM logic to scrub PII, and presents a 'Preview-Confirm' workflow to the user. We utilized AES-256-GCM encryption for all data at rest and in transit, ensuring that even if intercepted, the data remained indecipherable.

Tech Stack

PythonFastAPIOpenAI GPT-4Anthropic ClaudeGoogle GeminiVision LLMAES-256-GCM EncryptionRedisStripe APIPostgreSQLReact

Key Results

Measured Impact

  • 100% elimination of PII exposure to third-party LLMs
  • 85% reduction in compliance audit preparation time via automated Risk Dashboards
  • Sub-200ms latency for real-time anonymization processing

Values & Impact

  • Increased user trust and platform stickiness through transparent PII handling
  • Simplified the onboarding process for regulated industries (Fintech/Healthcare)
  • Enhanced executive-level visibility into corporate AI usage and risk posture

"EnDevSols didn't just build a tool; they built a fortress. Their two-pass scrubbing and vision-based extraction solved the 'black box' problem of AI compliance, giving our clients the absolute confidence to deploy GenAI at scale."

VP of Product, Global Data Compliance Firm

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Privacy-First LLM Proxy: How a SaaS Company Integrated OpenAI and Anthropic Without Exposing Customer PII | Case Study | EnDevSols