User-applied Classification to Enhance DLP

Organisations looking to deploy Data Loss Prevention (DLP) solutions are commonly faced with the dilemma of how to maximize the value of automated content scanning whilst avoiding the negative impact of ‘false positive’ results. The combination of Boldon James Classifier and a DLP solution reduces the likelihood of data loss by applying the insight of each knowledge worker to DLP decisions. By engaging knowledge workers in the process of classifying the unstructured data that they routinely handle, it becomes possible to supply the DLP solution with predictable, meaningful metadata that greatly improves the reliability of DLP decision making.

Boldon James Ltd, Cody Technology Park, Ively Road, Farnborough, Hampshire GU14 0LX, United Kingdom