PII & FILE SECURITY FOR BUSY CTO
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.
“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.
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.
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.
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.
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.
THE DATA & FILE LOCKDOWN SPRINT
A time-boxed sprint: Databunker Pro plus 20 hours of senior engineering. We lock down your highest-risk records and files together — then your team owns the proven pattern to finish the rest, with no lock-in.
The software
20 hours of senior engineering
We’ll scope the sprint to your stack and tell you whether 20 hours is enough — or if your sprawl needs more.
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.
Personal data goes straight from your user to the vault. It never lands in your database — so it can't leak from it.
The whole migration, in 30 seconds of SQL. Same primary keys, same joins, same indexes — just no PII anywhere except the vault.
Traditional databases store PII directly in tables, making data vulnerable to exposure through logs, backups, and SQL injection attacks—even with RDS encryption enabled.
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
);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.
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.
Remove PII from your system — compliance becomes trivial
Three moments in a normal week. Each used to consume your team for days. Now they take minutes — because the data lives in one place, and you can answer for it.
Monday morning
Your DPO pings you: “European customer wants their data deleted.” You point them at the portal. Five minutes later, done. The week-long fire drill is now a Slack thread.
Wednesday afternoon
Enterprise prospect sends a DPA addendum: Indian customer data must stay in Mumbai. Your sales engineer answers on the same call: “Already covered — here’s the architecture diagram.” The deal closes on schedule.
Friday afternoon
Your SOC 2 auditor asks for proof of data location. You hand them the architecture diagram and one access log. The conversation ends in twenty minutes — not three weeks of Slack archaeology.
That is what “paid down PII tech debt” actually looks like — not a slide in the board deck, a line in the next quarter’s wins.
No vendor can take your legal accountability — under GDPR you remain the controller, and anyone who tells you otherwise is selling something. Here is the honest line.
That left-hand list fits on one page. Most teams find that's the whole reason to do this.
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.
It's the right question. Databunker Pro is a stateless Go service: run several instances behind a load balancer, with PostgreSQL replication and failover underneath, so losing one node doesn't take reads down. Rather not own the uptime? The managed vault runs multi-AZ with automated failover.
Yes. Start by tokenizing one service or one data type. Databunker runs alongside your existing database. No big-bang migration required.
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.
Step-by-step setup and code examples for your stack, straight to your inbox.
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