Most DLP tools we evaluated created noise but didn’t solve the problem. Strac stood out by actually taking action. We use it across SaaS apps like Google Drive and Slack to detect sensitive data and automatically remediate — whether that’s redacting content, removing public links, or restricting access.

Collecting and processing sensitive personal data is an integral part of our business. To service our customers, we use a significant number of 3rd party SaaS applications. Customer data is processed in collaboration with SaaS apps like Google Workspace, Slack, Customer support, and more. We wanted a solution to continuously monitor real-time messages and unstructured documents (like PDF, images, screenshots, docs, spreadsheets, zip files, etc.) and reduce sensitive data from those sensitive messages after they were processed. Strac's unique Data Discovery and DLP capabilities with remediation capabilities like redaction, moving data to the vault, and easy-to-use dashboard made it easy for us to adopt Strac. They are very good at accurately identifying and redacting sensitive data with their machine learning and OCR models. And they have a solid process for addressing any false positives. Integration was easy as it was all SaaS and agentless. Strack customer support is very supportive.

As a company that handles sensitive data within our customer support tool, ensuring the security and compliance of this information is one of our cornerstones. Our chat messages often contain sensitive customer data, necessitating a reliable solution to identify and remove such information promptly. After evaluating several vendors for easy integration with our support tool, we chose Strac. Their platform stood out due to its easy integration process, responsive and supportive team, and advanced machine learning capabilities. Strac's sophisticated PII detection mechanism, support for identifying sensitive data in attachments, quick redaction times, and an extensive list of supported sensitive data elements have greatly enhanced our data security measures. Additionally, their swift support and responsiveness to feature requests are outstanding. We are happy with Strac’s ability to customise features for us to suit our needs better. We look forward to continued collaboration and ML model enhancements. Strac has been a crucial addition to our data security toolkit, and we highly recommend their services.