Child exploitation investigations often involve luring (also known as grooming): the process by which a child predator gains their victim’s trust. Because this happens a lot over chat apps (and chat features within, for example, gaming apps), you might find yourself reviewing thousands or even millions of messages to find your evidence. When you need to find relevant evidence quickly to move an investigation forward, you don’t necessarily have the time it takes to evaluate these messages individually. That’s why Magnet Forensics has developed a new way to analyze and classify content using machine learning: Magnet.AI. Found within Magnet AXIOM 1.1, Magnet.AI uses machine learning to narrow massive amounts of content. In its initial offering, Magnet.AI focuses on chat. Its function is to suggest chat conversations that should be examined for child luring. How Magnet.AI’s contextual content analysis differs from other analytics
from Forensic Focus http://ift.tt/2p0MUE8
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