PrivacyFlow · Privacy Automation
Personal data, mapped and under control.
PrivacyFlow finds personal data across your systems, keeps your data map current, and runs privacy requests and retention rules without spreadsheets.
Simulated environment, real workflow.
Capabilities
What PrivacyFlow does.
Maps personal data, runs access and deletion requests, and enforces consent and retention.
A data map built from your systems
PrivacyFlow connects to SaaS apps, warehouses and storage to find personal data and classify it by category and sensitivity.
- Automatic discovery and classification
- Records of processing kept current
- Data flows between systems
What you get
- Live data map
- DPO, privacy team
- Records of processing
- Regulators, auditors
Access and deletion requests on rails
Requests come in through one intake, identity is verified, and PrivacyFlow finds the subject's data in every connected system.
- Branded intake form and identity checks
- Deadlines tracked per jurisdiction
- Deletion confirmed system by system
What you get
- Request workflow and audit log
- DPO, legal
- Response packages
- Data subjects
Consent that follows the data
Capture consent once and push the choice to every system that uses the data.
- Consent and preference center
- Sync to marketing and analytics tools
- Proof of consent on demand
What you get
- Consent records
- Legal, marketing
- Coverage report
- DPO
Keep data only as long as you should
Set retention rules by category and system. PrivacyFlow flags or removes data that outlives them.
- Policy engine by data category
- Scheduled deletion with approvals
- Exceptions for legal holds
What you get
- Retention policy register
- GC, DPO
- Deletion reports
- Auditors
The proof
Every request answered, well inside the deadline.
Requests are verified, matched to the systems that hold the data and closed with a record, so the regulator's clock is never the one that runs out.
| Received | 1,240 |
|---|---|
| Verified | 1,032 |
| Data found | 640 |
| Fulfilled | 622 |
| 208 failed identity check | closed with a record |
| 392 held no data | answered |
| 18 open, in deadline | on track |
| Period | Value (d) |
|---|---|
| Jan | 21.0 |
| Feb | 18.0 |
| Mar | 14.0 |
| Apr | 11.0 |
| May | 9.0 |
| Jun | 7.0 |
| Jul | 6.0 |
| Aug | 5.0 |
Simulated environment, real workflow.
Delivered with consulting
Software that keeps the advice working.
The same practitioners who test, govern and monitor your systems work in this console, so their findings land where your team already looks.
How it works
PrivacyFlow, from first connection to running.
Most teams start with read-only connections and switch on automation once they trust the results. Deployment is scoped in the first call.
- 01
Connect
Link the systems that hold customer and employee data. Read-only by default.
Output: Read-only connectors
- 02
Discover
PrivacyFlow scans and classifies personal data and builds the first data map.
Output: Data map
- 03
Automate
Turn on request workflows, consent sync and retention rules.
Output: Request workflows
- 04
Prove
Export records of processing, request logs and deletion proof when asked.
Output: Deletion proof
Integrations
Works with the stack you have.
Connect once and the data feeds every RP product. Specific connectors are listed on the integrations page.
Supported connectors and versions are confirmed at scoping
FAQ
Questions we hear.
Also on the platform
Which privacy laws does PrivacyFlow cover?
Workflows ship with deadlines and templates for common regimes such as GDPR and CCPA/CPRA. We confirm coverage for the regimes you name at scoping.
Does PrivacyFlow copy our personal data?
Discovery works on samples and metadata where possible.
Can it work with systems you don't integrate with?
Yes. Those systems get manual tasks inside the same request, so the audit trail stays complete.
Who runs it day to day?
Your privacy team, or our GRC team as a virtual DPO service.
See PrivacyFlow on your own environment.
A 30-minute walkthrough scoped to your stack, with a look at what it would find first.