By using Boldon James Classifier in their business, Allianz experienced a 60% uplift in awareness of the company’s data security policies.
This improvement in user awareness has helped to decrease data breaches by upwards of 89% since June 2013.Find Out More
DeltaCredit experienced a significant 80% reduction in Data Loss Prevention (DLP) false positives after they implemented the Boldon James Data Classification solution.
This resulted in significant cost savings and enhanced security across the organisation. Gartner and Forrester both advise that a good DLP programme starts with effective Data Classification.Find Out More
Monitoring and reporting on Data Classification activities allows compliance with legislation to be audited on an ongoing basis. It also enables the early identification and prevention of breaches by highlighting risky user behaviour so you can stop data loss incidents before they occur.
Using our new powerful reporting tool, our clients have seen immediate improvements in measurability, better visibility of data governance and the ability to prove ROI for the solution set.Find Out More
Classifier was the perfect match for our requirements, being easy to deploy and intuitive for our users and as a result has helped build awareness around information protection and value.
In combination with Data Loss Prevention systems, Boldon James has helped to reduce
DLP false positives by over 80%.
Classification enables the creation of attributes for data identity, which helps determine how to treat and secure data. Human intervention provides much-needed context for Data Classification, while tools enable efficiency and policy enforcement.
Classification allows for better DLP, internal and external document routing, reporting against risk and governance needs, and also happier end users.
Boldon James Classifier is able to satisfy our compliance requirements, was implemented very easily and we can share some of the benefits of this software with our partners and other stakeholders