PII & FILE SECURITY FOR BUSY CTO

Legal Says Lock Down User Data. Records and Files.

Databunker Pro is the vault for user records and sensitive files — with the access controls and audit trail legal asked for. Map every PII field and sensitive file with Claude, lock them down, and make legal happy.

Plus senior engineers on call to help you implement controls.

Already protecting 20M+ records in production. Self-hosted or cloud.

# Ask Claude or Cursor:
"Find every PII field. Plan the migration to Databunker Pro."

→ 47 PII fields found across 9 services:
   users.email          src/auth/signup.js:42
   orders.shipping      jobs/import.py:118
   logs.payload.phone   worker/process.ts:73
   ...

# Then save each user in Databunker Pro
curl -X POST /v2/UserCreate -H "X-Bunker-Token: $TOKEN" \
    -d '{"profile":{"email":"al@x.com","card":"4532..."}}'
{ "status": "ok", "token": "a21fa1d3-..." }

Self-host with Docker Compose, Kubernetes, or OpenShift.

What Legal's Request Actually Takes

“Lock down user data and files, control who can access them, keep an audit trail.” Simple to ask for. But your records are scattered across a dozen systems, your files sit in buckets nobody reviews, and no one can produce a clean log of who touched what.

Nobody can answer “who can access this user’s data?”

User records are spread across a dozen databases, 10 Cognito pools, and the service the engineer who left built. Granting access control across all of them — let alone proving it to an auditor — is a week of Slack archaeology.

Your sensitive files sit in buckets nobody audits

KYC selfies, ID scans, signed contracts — uploaded to S3 with IAM rules set once and forgotten. Who can download them? When did they last? Legal wants an answer you don’t have.

You can’t prove who accessed what

Access logs are scattered across CloudTrail, app logs, and database audit — where they exist at all. The one thing legal asked for — an authoritative trail of every access — is the hardest to produce.

Plaintext PII records in your SQL tables are a liability

Scattered data multiplies your attack surface. An ORM bug, a dependency CVE, or a forgotten staging dump leaks real customer names, emails, and cards — and lands on every future pen-test report and security questionnaire.

Your AI Stack Never Sees a User Name

Personal data goes straight from your user into the vault. Your application, your model provider, your RAG index, your logs and your warehouse all hold the same opaque token — and nothing else.

Your usersignup · upload · checkoutDatabunker Pro VaultYour region · AES-256 per recordSarah Klein · sarah@acme.io+49 170 555 0134 · DE passportpassport.pdf · contract.pdfYour app & databaseuser_token = b4f1c8e0-…-9a2dfile_token = f7d2a134-…-1c05No personal data at restEverything downstreamLLM providers · RAG indexanalytics · logs · support deskbackups · data warehouseSees tokens only1. personal data2. a token3. tokens onlyresolve on demand, per request, fully logged

Personal data goes straight from your user to the vault. It never lands in your database — so it can't leak from it.

Your User Table, Before and After

The whole migration, in 30 seconds of SQL. Same primary keys, same joins, same indexes — just no PII anywhere except the vault.

Old-Style Solution

Traditional databases store PII directly in tables, making data vulnerable to exposure through logs, backups, and SQL injection attacks—even with RDS encryption enabled.

Example Database Schema:
CREATE TABLE users (
    id SERIAL PRIMARY KEY,
    email VARCHAR(255),           -- Exposed in logs, backups, queries
    first_name VARCHAR(100),      -- Visible to all database users
    last_name VARCHAR(100),       -- Accessible via SQL injection
    phone VARCHAR(20),            -- Stored in application logs
    ssn VARCHAR(11),              -- High-risk data exposure
    created_at TIMESTAMP
);

Problems with storing PII directly:

  • Data exposure in logs, backups, and error messages
  • SQL injection vulnerabilities expose sensitive data
  • Database admin access reveals all personal information
  • Compliance complexity requires extensive additional controls
  • Breach impact exposes all stored PII immediately

Databunker Pro Solution

Databunker Pro is a secure user table replacement and vault that encrypts sensitive data (PII, payment info, KYC) and swaps it in your database with safe random tokens.

Secure Database Schema:
CREATE TABLE users (
    id SERIAL PRIMARY KEY,
    user_token UUID              -- Safe to store anywhere
);

All user-sensitive records are encrypted and securely stored in Databunker’s internal PII vault, featuring fuzzy search, record versioning, encryption key rotation, and multi-tenancy. Fast and secure record lookup is enabled through hash-based search indexes.

Benefits of secure tokenization:

  • Zero PII exposure in application databases, logs, or backups
  • Breach protection - attackers only see meaningless tokens
  • Built-in compliance with privacy regulations
  • Simplified architecture - no complex encryption management
  • Audit-ready with comprehensive access logging

Remove PII from your system — compliance becomes trivial

Startup Pricing

Or try the live demo first

The Questions Every Architect Asks First

"Will this slow down my app?"

No. Databunker is written in Go for near-native performance. Token lookups add single-digit milliseconds. We handle 20M+ records in production with no performance issues.

"What if Databunker goes down?"

Databunker supports high availability with database replication (PostgreSQL/MySQL). Your tokens remain valid and your app continues to function — PII lookups queue until recovery.

"Can we migrate gradually?"

Yes. Start by tokenizing one service or one data type. Databunker runs alongside your existing database. No big-bang migration required.

"Where is data stored?"

You choose. Self-host on-premises, in your own cloud VPC, or let enterprise clients host their own vault in any region. You control the data residency.

30 Minutes With an Engineer. No Deck.

In 30 minutes, a Databunker engineer maps where your PII lives, shows what tokenization would change, and hands you a migration plan. No deck. No sales pitch.

Book a Demo 🚀   Startup Pricing