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Zero-Trust Enterprise LLM API Gateway
A self-hosted or virtual private cloud proxy that intercepts all outbound requests to commercial LLMs. It redacts proprietary code and PII, providing compliance teams with undeniable audit logs of what leaves the network.
이것이 중요한 이유
You want your engineering and operations teams to leverage the massive productivity gains of commercial LLMs, but you are terrified of your proprietary code leaking. Despite enterprise agreements promising data privacy, you simply do not trust major tech vendors after historical breaches and quiet policy shifts. You currently face a dilemma: either block AI entirely and lose out on efficiency, or allow it and risk your company's intellectual property. You need a verifiable, middle-layer firewall that sanitizes every prompt and logs exactly what leaves your network.
- · CISOs and compliance officers at mid-market enterprises을(를) 위해 제작되었습니다.
- · 가장 유력한 수익화 모델: SaaS subscription based on token volume / seat count.
고충 · 내러티브
You want your engineering and operations teams to leverage the massive productivity gains of commercial LLMs, but you are terrified of your proprietary code leaking. Despite enterprise agreements promising data privacy, you simply do not trust major tech vendors after historical breaches and quiet policy shifts. You currently face a dilemma: either block AI entirely and lose out on efficiency, or allow it and risk your company's intellectual property. You need a verifiable, middle-layer firewall that sanitizes every prompt and logs exactly what leaves your network.
점수 세부
시장 신호
시장 진출 전략
Security-conscious engineering managers and compliance officers at tech companies with 100-500 employees
~50,000 mid-market organizations globally
Direct cold outbound to CISOs and tech leads focusing on AI risk
$299/month base platform fee
Secure 5 paid pilot deployments through direct enterprise outreach
MVP 범위 · 1~2주
- Set up a basic Node.js or Go reverse proxy to intercept HTTP requests
- Implement pass-through routing to the OpenAI API
- Create a simple regex-based redaction engine for emails and API keys
- Log all intercepted requests and responses to a local SQLite database
- Write deployment documentation for running the proxy via Docker
- Build a lightweight web dashboard to view the audit logs
- Implement token-based authentication to restrict proxy access
- Add support for intercepting Anthropic API calls
- Create a demonstration video showing redaction in real-time
- Launch a landing page emphasizing zero-trust AI adoption
차별화
실패 가능 요인
자가 반박 — 가장 중요한 신뢰 신호
- 1Enterprises might decide the legal agreements are sufficient and refuse to pay for technical enforcement.
- 2The redaction layer might accidentally corrupt complex code prompts, rendering the AI useless.
- 3A major player like Cloudflare could easily bundle this into their existing firewall offerings.
근거 요약
AI가 이 인사이트를 합성한 방법 — 직접 인용 없음
Numerous professionals actively debated the reality of data privacy with commercial AI vendors. Several commenters highlighted that despite enterprise agreements explicitly prohibiting training on customer data, trust remains incredibly low. Users cited past corporate controversies and changing privacy policies as reasons they assume their proprietary code is being monitored or ingested, creating a clear demand for verifiable technical safeguards.
액션 플랜
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권장 다음 단계
검증 먼저
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랜딩 페이지 카피 키트
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헤드라인
Zero-Trust Enterprise LLM API Gateway
서브 헤드라인
A self-hosted or virtual private cloud proxy that intercepts all outbound requests to commercial LLMs. It redacts proprietary code and PII, providing compliance teams with undeniable audit logs of what leaves the network.
대상 사용자
대상: CISOs and compliance officers at mid-market enterprises
기능 목록
✓ Drop-in API URL replacement for OpenAI/Anthropic SDKs ✓ Rule-based regex and AI-driven PII/secret redaction before egress ✓ Comprehensive dashboard of all outbound prompt data ✓ Role-based access control for different LLM endpoints ✓ Self-hosted Docker deployment option
어디서 검증할까요
r/HN · ai agent에 랜딩 페이지 링크를 공유하세요 — 바로 이 고통이 발견된 곳입니다.
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