Public agencies at all levels spend a lot of time responding to public information requests.
As part of the process of responding to these requests, agency officials are instructed to make "copies" of all information to note the information that can't be release (e.g. personal and confidential information). Then folks make "copies" of their markup for record keeping before finally redact redacting.
Data Loss Prevention (DLP) Technology
Data Loss Prevention (DLP) technology can provide methods for detection, risk analysis, and de-identification of privacy-sensitive fragments in text, images, and storage repositories.
In the context of public requests for information, DLP can help significantly with classification and redaction of sensitive data contained in text-based content and images through some simple API calls.
It's performance and ease of use make it very attractive to folks looking to automate some of their redaction processes.
UI Path Integration for RPA
At the time of writing, we found one solution in the UI Path Go Marketplace that can be added to any UI Path project called "Inysystech DLP" . Using this package, it's possible to include redaction into your robotic process automation (RPA) projects pretty quickly. Alternatively, both Google and Amazon offer various data loss prevention services ranging in functionality.
In a nutshell, the Insystech DLP Redact PII Activity sends a document to the Insystech DLP service for de-identification and in the same request, a PDF file containing the redacted content is returned back.
Some key features of these these of services include:
Do I need for Data Loss Prevention Strategy?
Probably. Data is continuously being received and created, necessitating a data loss protection strategy that continuously monitors data stores for new instances of sensitive data. Data loss prevention software such as Google DLP provides core capabilities that can be leveraged to monitor and control data in near real time.
If you're considering developing a strategy, it's recommended that your strategy covers the full lifestyle of information to ensure that when a file is created, copied, edited, detached from an email, extracted from an archive, retrieved from cloud storage, or otherwise modified, it is instantly searched, automatically classified, and reported upon.
These and other capabilities require some level of automation to ensure that notification, assignment, and data remediation can be performed automatically or manually, according to your workflow process.
For more information please see the Insystech DLP Documentation
Shane Quigley is an expert in data warehousing, business intelligence, systems analysis, and solution architecture.