Purpose
Digital Shadows is a UK cyber-intelligence company supplying enterprise-grade threat intelligence and data leakage information as a managed service. Digital Shadows offers, amongst others, a service used by companies to determine what confidential, sensitive and proprietary data is leaking through the organisational boundary. The company used the Big Data Incubator to improve on their current algorithms for selection and scoring to identify leaked documents more efficiently, reducing the amount that require assessment by an Analyst.
Approach
The team consisted of four S2DS participants with analytical PhDs in collaboration with a mentor from Digital Shadows. The team spent the first part of the project understanding their dataset and the problem, followed by finding new and optimum methods of extracting information from documents analysing the results.
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The Outcome
By introducing robust and consistent machine learning methods, constructed and implemented by data scientists, Digital Shadows could significantly reduce the time spent for analyst verification. As Digital Shadows continues its rapid growth these efficiency gains will have a significant impact on the company, helping to maintain its position as the leading cyber intelligence provider.
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