Uncovering Client Data Leaks in the Dark Web: a case study inside Grant Thornton Digital

Cyber threat intelligence, although not always considered on par with other enterprise intelligence concerns, is a cybersecurity discipline that can strongly influence the decision-making function and determine the success or failure of a business. In particular, the detection of corporate data leaks becomes crucial as more and more organizations find themself in the middle of their digital transformation process. Given the absence of a centralized and structured approach to this sub-field of cybersecurity intelligence, companies often are little more than at the mercy of cyber criminals, who are instead backed by exclusive communities on the Dark Web. This thesis represents an attempt to provide a framework and a set of implementation guidelines for building a proper intelligence system rooted in the Dark Web and devoted to the detection of corporate data leaks. The theoretical work is enriched with the empirical evidence and technical accomplishments developed specifically for a case study inside Grant Thornton Digital.