GraphReplica Entity Replacement
The same entity becomes the same stand-in everywhere
GraphReplica replaces the sensitive entities in your data with realistic stand-ins. The real PII is gone. The joins and relationships survive.
Stop waiting on privacy review. Point AI at safe data that behaves like production.
0%
PII leakage across stress tests
100M+
records held consistent
0.91 F1
replacement consistency, zero false merges
<1 week
to your first safe dataset
See it move
Watch one identity stay consistent across files
Flip from source to safe. The real person turns into one believable stand-in in every file at once, and the key that links them all keeps working.
One identity, four files
Flip the switch to replace the real person with one consistent stand-in everywhere.
customers.csv
CSV row
- customer_id
- CUS-88421
- full_name
- Maria Alvarez
- maria.alvarez@northwind.com
- plan
- Enterprise
support_thread.eml
Support email
- from
- Maria Alvarez
- phone
- 415-555-0182
- subject
- Renewal question
- ref
- CUS-88421
resume.pdf
PDF document
- candidate
- Maria Alvarez
- contact
- maria.alvarez@northwind.com
- role
- Staff Engineer
- years
- 9 years experience
recruiter_note.docx
Recruiter note
- about
- Maria Alvarez
- cell
- 415-555-0182
- match_id
- CUS-88421
- status
- Strong yes
Joins still work
CUS-88421 links all four files.
Maria Alvarez becomes Diana Whitfield in every file at once. Random replacement would make her a different person in each file and break the join.
Why the usual options fail
Two broken alternatives
Privacy work usually forces a bad trade. GraphReplica refuses it.
What most tools do
Random replacement breaks the join
Swap values at random and one person becomes a different person in every file. Records that used to link no longer match. The analytics and the relationships are gone.
The blunt alternative
Full masking destroys utility
Black out every field and nothing is left to model, query, or test against. Your team is back to fake placeholder data that behaves nothing like production.
GraphReplica keeps both the privacy and the utility
Only the sensitive entities change, and they change the same way everywhere. Real PII is gone. Joins, relationships, and statistical shape stay intact. Zero PII leakage across our stress tests.
What this unblocks
Move faster than the privacy review that used to block you
Realistic entity replacement turns regulated data into something your AI teams can use this week.
Point AI at safe data today
Aim agents, coding tools, and BI at a safe replica instead of waiting on privacy review. The data behaves like production so the work is real.
Train and red-team on real shape
Build realistic environments to train, evaluate, and red-team agents. Replica utility stays within about 5% of real-data performance.
Stand up demos, QA, and staging
Spin up demos, QA, and analytics without exposing a single real customer. Tables keep their row counts, types, and relationships.
License or share without exposing PII
Hand proprietary data to partners or models with the real PII, PHI, and IP removed and the structure still intact.
Bring a sample. We will show you the same entity staying consistent across your own files.
How the consistency holds
Careful identity resolution, then honest replacement
Consistency holds far beyond any model context window. Here is what runs under the hood.
Find the sensitive entities
GraphReplica detects sensitive entities across messy multi-format sources at about 0.93 F1, then leaves everything non-sensitive exactly as it was.
Resolve who is who, carefully
Records merge only on strong evidence like a shared current email, phone, or business ID. Weak or conflicting records stay separate and surface in the audit output. Zero false identity merges.
Replace with one consistent stand-in
The same real entity becomes the same realistic stand-in across every file, table, and document. A person becomes a plausible person, an invoice ID stays invoice-shaped, geography stays at the right level.
Validate and prove it
Every run finishes with a leak check and a consistency check, then produces audit-ready reports built to meet GDPR, CCPA, and HIPAA requirements.
Runs inside your environment
GraphReplica ships as a container that runs in your cloud, data center, or Databricks. Your data never leaves and never reaches Secludy. Air-gapped. Setup takes about an hour and every run produces audit-ready reports.
- Data never leaves your boundary
- Audit-ready reports on every run
- Built to meet GDPR, CCPA, and HIPAA requirements
Works on the data you already have
Point it at spreadsheets, free text, PDFs, emails, and database exports. The same entity stays consistent across all of them.
See your entities stay consistent
Book a demo and we will run a safe replica on a sample of your data. First safe dataset in under a week.