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.

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Whitepaper:
5 Steps To Effective
Data Protection

Brochure:
Corporate
Brochure

"Great product
for user awareness"

Very good customer support for implementation and operations. The product is great for improving user awareness of data classification.

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"Great Customer Satisfaction and a well integrated product"
The Boldon James Engineers are very supportive in assisting with deployments, queries and handling issues.

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"Helps to easily understand and implement classification"
Implementation is rather easier than other competitive products, administration console is also easier to understand and everything relevant to classification is there.

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Why choose
Fortra's Boldon James

With unrivalled customer service and best-of-breed data protection and governance solutions,
we are helping many of the world’s most successful organisations take control of their business data.
Everyday, our customers enjoy more effective, secure and streamlined operations -
protecting their business critical information and reducing risk.