Case Study: Digital Guardian achieves stronger data loss prevention with OpenText Knowledge Discovery

Digital Guardian employs data recognition technology enabled by OpenText IDOL to enhance data safety and control

Digital Guardian needed a better way to identify and protect sensitive data across endpoints and networks, especially since endpoints can create major security blind spots. To address this challenge, Digital Guardian used OpenText Knowledge Discovery as part of its data protection platform to inspect content and context, classify structured and unstructured data, and help customers see, analyze, understand, and protect sensitive information.

Using OpenText Knowledge Discovery, Digital Guardian was able to scan, classify, and tag sensitive data, then apply policy-based controls to allow or block risky actions at the endpoint. The solution also supported risk and trend reporting and helped customers reduce data loss by as much as 90% through proactive controls. In addition, Digital Guardian used OpenText Enterprise Security Manager to correlate data from multiple security tools, improving threat detection and response speed.

Digital Guardian

Marcus Brown

Vice President of Corporate Business Development