PII Firewall Edge's answer

PII Firewall Edge is built on a zero-AI, zero-storage, zero-log architecture - a fundamentally different approach to PII detection.

Key differentiators:

• No AI/ML involved: Unlike competitors that use machine learning (and send your data to their models), we use deterministic regex patterns with cryptographic checksums (Luhn, Verhoeff, mod-97). Your data never trains anyone's model.

• Edge processing: Runs on Cloudflare's global network (300+ locations) with sub-10ms latency. No cold starts, no queuing.

• Zero persistence: Data flows in, gets sanitized, flows out. Nothing is stored, logged, or persisted. Ever.

• 150+ PII types: From SSN and AADHAAR to API keys, JWTs, crypto wallets, and international IDs across 20+ countries.

• Developer-first pricing: $5/mo PRO tier vs $500+/mo enterprise alternatives. Free tier included (500 calls/month).

The result: military grade PII redaction without the enterprise complexity or AI black boxes.

PII Firewall Edge's answer

vs Amazon Comprehend PII:

• 10x faster: Sub-10ms vs 100-200ms typical Comprehend latency

• 10x cheaper: $5/mo vs pay-per-character pricing that scales to $500+/mo

• No AWS lock-in: Works anywhere via simple REST API

• No AI: Comprehend uses ML - your data trains their models. We use deterministic patterns.

• More PII types: 150+ vs Comprehend's ~20 categories

vs Google Cloud DLP:

• No GCP required: DLP requires Google Cloud infrastructure. We're platform-agnostic.

• Simpler integration: One API call vs complex DLP template configuration

• Transparent pricing: Flat monthly fee vs inspection unit pricing that's hard to predict

• Zero-log guarantee: DLP can log to Cloud Logging. We never store anything.

• Faster deployment: npm install + one API call vs GCP project setup, IAM, service accounts

The bottom line: Enterprise solutions assume you have enterprise budgets and infrastructure. PII Firewall Edge gives indie developers and startups the same protection at 1/100th the cost, with a 10x simpler integration.

PII Firewall Edge's answer

Core stack:

• Cloudflare Workers: Serverless edge compute for sub-10ms global latency. No cold starts, automatic scaling to millions of requests.

• JavaScript (V8 isolates): The detection engine runs in Cloudflare's V8 isolates - secure, sandboxed, memory-limited by design.

• Deterministic regex + checksums: No ML/AI. We use hand-crafted regex patterns validated with cryptographic checksums:

  • Luhn algorithm (credit cards)
  • Verhoeff algorithm (Aadhaar)
  • Mod-97 (IBAN)
  • Country-specific validation (SSN, PAN, CURP, etc.)

• RapidAPI: API management, authentication, rate limiting, and developer portal.

• Zero-dependency architecture: No external databases, no ML model calls, no third-party logging. The entire system fits in a single Cloudflare Worker.

Why this stack? Edge computing ensures data never leaves the region. No AI means no training on customer data. No dependencies means no supply chain risk.

PII Firewall Edge's answer

Primary audiences:

1. Indie hackers & solo developers building AI-powered products who need to sanitize user input before sending to OpenAI, Claude, or other LLMs. They need something that "just works" without enterprise complexity.

2. Early-stage startups (Seed to Series A) adding AI features to existing products. They care about compliance (GDPR, HIPAA, CCPA) but can't afford $500+/mo enterprise contracts or dedicated security engineers.

3. Mid-size B2B companies processing customer data through AI pipelines. They need audit-friendly, deterministic PII detection - not AI black boxes they can't explain to compliance teams.

4. Privacy-conscious developers who refuse to send user data to yet another AI service for "analysis." They want zero-trust architecture where data never persists.

Common thread: Teams that move fast but take privacy seriously. They want enterprise-grade security without enterprise-grade budgets or complexity.

PII Firewall Edge's answer

I was shipping an AI feature for a client project when I had a terrifying realization: every customer message was going straight to OpenAI - names, emails, phone numbers, all of it. No sanitization. No audit trail. Just hope.

I looked for solutions:

• Enterprise tools (Google DLP, Amazon Comprehend): $500+/mo, complex setup, and they use AI themselves - so I'd be sending PII to another third party.

• Open-source options (Presidio): Required self-hosting, GPU infrastructure, and ongoing maintenance.

• Nothing in between: No simple, affordable API that "just worked."

So I built what I wished existed: a sub-10ms edge API that strips 150+ PII types using deterministic patterns - no AI, no storage, no logs. Priced at $5/mo because privacy shouldn't be a luxury only enterprises can afford.

The name "Firewall Edge" reflects the architecture: it's a firewall for PII, running at the edge of the network, before sensitive data ever reaches third-party APIs.

PII Firewall Edge's answer

We're an early-stage product focused on indie developers and startups, so we don't have Fortune 500 logos (yet!).

Current user base: - Solo developers building AI-powered SaaS products - Early-stage startups (pre-seed to Series A) adding LLM features - Privacy-conscious developers who prioritize zero-log architecture

Use cases we're seeing: - Sanitizing user input before OpenAI/Claude API calls - Redacting PII from customer support logs before AI analysis - Compliance preprocessing for GDPR/HIPAA-regulated applications - Protecting API keys and secrets in developer tool outputs

We're building in public and prioritizing developer experience over enterprise sales. Our "biggest customers" are the indie hackers shipping AI products who can't afford a data breach - but also can't afford $500/mo enterprise tools.

If you're using PII Firewall Edge and want to be featured, reach out!