A Sherlock Holmes Mystery: AI-Powered Behavioral Forensics


Posted on in Presentations

Sherlock Holmes would have been proud: advances in AI enable the profiling of hackers based on the specific behavioral and cognitive DNA traces left by the attacker at the crime scene. This series of case studies will build a strong forensic case against individual hackers and see how seemingly unconnected hacks are all done by the same mysterious criminal.

Pre-Requisites: Understanding of fraud fighting principals such as detection vs. FP and alert rate, digital signals (device, location, behavior), link analysis, common attack methods such as Account Takeover, RAT, Bot, Social Engineering

Participants
Erin Englund

Participant

Threat Analytics Lead - North America, BioCatch

Uri Rivner

Participant

CEO, Refine Intelligence

Identity Machine Learning & Artificial Intelligence Anti-Fraud Analytics Intelligence & Response

identity theft fraud big data analytics behavioral analytics artificial intelligence & machine learning


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