FOR CTOS PAYING DOWN PII TECH DEBT
Map every PII field in your codebase in a weekend with Claude or Cursor. Land it all in Databunker Pro — with our architects on call. Get back one clear answer to "where is our user data?" — for your next audit, DSAR, and security review.
Already protecting 20M+ records in production. Self-hosted or cloud.
No deck. No sales pitch. A Databunker engineer maps where your PII lives and gives you a migration plan in 20 minutes.
# Ask Claude or Cursor:
"Find every PII field. Plan the migration to Databunker."
→ 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 land each in Databunker:
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.
It's not the headline breach number. It's the audit you can't pass, the engineer you can't onboard, and the deal you can't close — because nobody has a complete map of where user data actually lives.
A regulator opens an enquiry. A user files a DSAR. An auditor asks for evidence. Each request becomes a week of Slack archaeology across N databases, M SaaS tools, and the engineer who left last year.
Years of organic growth left identity scattered across pools, legacy tables, and acquisitions. AWS gives you no merge tool. Your team gets to build one — instead of shipping features.
Every new microservice, every new SaaS integration, every new region adds another place PII can leak. The next breach drill won't ask whether you have sprawl — it'll show you exactly how much.
THE PII CONSOLIDATION SPRINT
A time-boxed sprint that pairs Databunker Pro with 40 hours of senior engineering — so the migration is a delivered outcome, not a software install.
The software
40 hours of senior engineering
We’ll scope the sprint to your stack and tell you whether 40 hours is enough — or if your sprawl needs more.
Once your codebase points at Databunker instead of twelve scattered systems, the parts of your job that used to be impossible become routine.
Every DSAR, every audit, every regulator query becomes a single API call. The week of Slack archaeology stops.
If attackers compromise your application database, they get UUIDs. No PII in logs, no PII in backups, no PII in error messages — nothing worth stealing.
When the prospect’s security questionnaire asks where the data lives, you have one answer. Data residency, vendor reviews, DSARs — answered by your architecture, not by your sales engineer.
Every new microservice, every new SaaS integration, every new region points at the same vault. The sprawl stops compounding.
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
Book a 20-min architecture review →Self-hosted, open-source-friendly, no signup. Four commands and you have a tokenization API on localhost:3000 🔗.
git clone https://github.com/securitybunker/databunkerpro-setup.git
cd databunkerpro-setup/docker-compose-pgsql
./generate-env-files.sh
docker compose up -dThen open http://localhost:3000 — the web UI walks you through generating your root token, wrapping key, and Shamir shares.
curl -X POST http://localhost:3000/v2/UserCreate \
-H "X-Bunker-Token: $ROOT_TOKEN" \
-d '{"profile":{"email":"alice@example.com","card":"4532015112830366"}}'PII goes in. A safe UUID token comes back. Store the token in your application database — never the raw record.
helm repo add databunkerpro https://securitybunker.github.io/databunkerpro-setup
helm repo update
helm install databunkerpro databunkerpro/databunkerpro
kubectl port-forward service/databunkerpro 3000:3000Three 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.
Three CTOs who made the migration. What they got back.
"Databunker Pro saved us 6 months of dev time. The API was a breeze to integrate, and we passed our PCI audit with zero issues."
— Elliot S., Software Director at Cashware
"We ditched our custom encryption for Databunker Pro. It’s faster, more secure, and the team loves the PHP & Python support."
— Sergey M., Cloud Architect at Signature IT
"Open-source roots and military-grade security? Databunker Pro was a no-brainer for our SaaS platform."
— Dmitry K., R&D Manager at Accelario
Six features that turn "consolidate everything to Databunker" from a risky migration into one you only do once. Each one is a tool your senior engineers can defend in design review.
Analytics gets tokens. Support sees last-4. Security gets full reveal. All by policy — not by writing if-statements in twelve services.
CRBAC + masking policies
Hashed search indexes let support find “Johnatan Smyth” even though the vault stores it encrypted. No decryption, no plaintext leak.
Fuzzy search on encrypted data
Every create, every update, every export — captured with an integrity hash. Answer “what did this profile look like on March 14?” in one API call.
Record versioning + audit trail
PostgreSQL Row-Level Security at the database layer means a query for tenant A literally cannot return tenant B’s rows. The database enforces it. Your team doesn’t have to remember to.
Multi-tenancy with RLS
Master key encrypted with your AWS KMS, Azure Key Vault, or HashiCorp Vault. Rotation re-wraps the master key once — your millions of records stay untouched.
BYOK + zero-downtime key rotation
Group users by tenant, region, or processing context. Hand the DPO portal to your privacy team to run DSARs and consent — without engineering involvement.
Group management + DPO portal
Same vault, same evidence, same answer to “where does the data live?” — across every framework your enterprise prospects ask about.
One vault answers consumer-rights requests in seconds — across India and California — with the same audit trail and the same architecture diagram.
Tokens replace PII and card data in your app. Most systems drop out of audit scope. Both frameworks see one source of truth instead of twelve.
Encryption, access control, audit log, key rotation — all evidence your CPA firm can export in one click, not reconstruct across systems.
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.
Databunker supports high availability with database replication (PostgreSQL/MySQL). Your tokens remain valid and your app continues to function — PII lookups queue until recovery.
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.
Self-hosted, cloud, or hybrid — Databunker fits the architecture you already have, and gives you back a single source of truth for PII.
Book a 20-min architecture review → Or try Docker quickstartIn 20 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 20-min architecture review → See Pricing