For many documents it is very important to remove sensitive information before these documents are shared or published on the Internet. PDF offers the functionality of redaction for this.
The task is relatively easy once you know exactly what kind of data to remove. This can be names, telephone numbers, e-mail addresses or e.g. bank details.
It becomes difficult if you cannot precisely define the data to be protected. This can perhaps be solved manually for a few documents or a few pages. In the case of large documents or a high volume of documents, the manual effort is too high and very error-prone.
This is where the AI-based solution Foxit Smart Redact helps to completely and securely remove sensitive information from PDF documents. Smart Redact provides an intelligent review process to verify accuracy. Users can quickly verify the redactions and make any necessary changes in a matter of seconds.
For automation, users can create profiles that let them select the confidential information which should be deleted. The Batch Redact function supports to run the profiles against many documents.
Another important feature is that Foxit Smart Redact is TAA-compliant and SOC2 certified, so users can trust that information will not be vulnerable. Azure hosts the service. AES256 encrypts data transmission between the Foxit cloud and Foxit PDF Editor. Once the analysis is complete, files are sent to the cloud for redaction. Users’ files are deleted so they do not remain accessible.
Smart Redact is a plug-in for Foxit PDF Editor. To add this functionality, simply buy it as an add-on or try it free.
Foxit is a leading provider of innovative PDF products and services, helping knowledge workers to increase their productivity and do more with documents. Foxit addresses the needs of three distinct market segments. For End-User Productivity, Foxit delivers easy to use desktop software, mobile apps, and cloud services to make knowledge …Read more
Thomas Zellmann has been working in electronic data processing (EDP) for more than 30 years and has extensive experience with classic and modern IT solutions. Prior to joining LuraTech/Foxit in 2001 he worked for Softmatic AG, Software AG and Nixdorf among others. Thomas consults customers and partners around the Foxit server solutions like PDF Compressor. Contact Thomas at firstname.lastname@example.org