No-code data anonymization
Comply with data privacy obligations in a few clicks, within a few minutes.
Industries where data protection matters
Financial Services
Healthcare
Telecommunication
Public Sector
Retail
Transportation
Education
Non-Profit
With Privly, anonymization of personally identifiable information can be seamlessly introduced as part of:
Data Aggregation
Data Pipelines
Data Workflows
Data Governance
What can Privly deliver for your organization?
Comply with data privacy obligations globally
When personal identifiable information is anonymized, datasets typically overcome regulatory issues.
Extract data from sensitive datasets without fear
Rest easy knowing that you can handle, process, and share your company’s heavily regulated data assets.
Keep original data untouched and unlocked
When Privly anonymizes personal data profiles, the original database is never exposed, remains untouched.
Integrate and match PII data from multiple
sources
Through Privly’s matching feature, your team can combine two or more datasets that match records.
Through Privly’s matching feature, your team can combine two or more datasets that match records.
Boost efficiency in processing sensitive data
Data teams no longer have to create complex protocols, processes, workflows, and audits in sensitive datasets.
Reduce cost of data privacy compliance
Storing or sharing personal data always entails cost in time and resources in the effort to protect it.
Eliminate risk of personal data breaches
When Privly anonymizes personal data profiles, the original database is never exposed, remains untouched.
Share anonymized data internally & externally
Because all sensitive data is anonymized, you can collaborate more freely with internal & external colleagues.
Privly’s core anonymization capabilities
Masking & Redaction
Organizations can choose to either mask or redact personal identifiable information. Masking replaces data profiles with inauthentic information that follows the same structure. On the other hand, redaction blocks the selected data profiles.
Poly-Anonymization™
When each piece of information (name, address, mobile number, etc.) is masked or redacted, Privly swaps it with a Poly-Anonymous Identifier (Poly-ID). Each Poly-ID is unique, inconsistent, unpredictable, has multiple potential values, and is not hashed.
Data matching
Because every anonymized datapoint has a Poly-ID, Privly users can combine multiple datasets in a way that matches records at the individual level without revealing personal identifiable information.
More reasons to protect your enterprise data with Privly
Limitless scalability
As a cloud-based solution, Privly scales with the size or volume of your data assets. There’s no project that’s too big to manage.
Anonymize in
non-production environments
The anonymization process can be done directly within a non-production database.
Original data with PII
untouched and protected
Privly secures “at rest” data. Even the Privly team won’t be able to read the original datasets containing sensitive profiles.
Everything within your enterprise firewall
Anonymization, analysis, and any form of data handling is done inside your enterprise systems. Nothing goes outside of your firewall.
Easy set-up
Delivered via API & Docker Container
All of Privly’s capabilities are managed through an API.
Further, Privly is delivered to your enterprise firewalls through a Docker Container.
You can host Privly on any type of infrastructure, including a public cloud, a private cloud, or an on-premise data center.