Fighting Fraud by Integrating Data-driven Analytics with Forensics

Damaging fraud schemes continue to emerge, spread and evolve at blazing speeds, aided by technological advances and the ambition of unscrupulous actors. Internal fraud alone costs the typical organization an estimated 5% of its annual revenue.

¹ By combining artificial intelligence (AI), machine learning and statistical concepts of cognitive analytics with forensic investigation of fraudster methods, organizations can help stem their losses due to fraud and better identify and investigate attacks, as well as be better positioned to thwart future ones. Taking an integrated, analytics-driven approach can help investigators more quickly identify the root cause of incidents, improve sensing capabilities and help prevent recurrence.

Author: Deloitte


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