Digital documents pose a serious cybersecurity threat to US critical networks since they can contain embedded code that may compromise a computer when the document is opened.
Artificial-Intelligence Based Endpoint Defender (ABED) is an Air Force Research Laboratory funded product that uses advanced machine learning and artificial intelligence techniques to automatically model normal behavior of document viewers to quickly identify suspect documents before they compromise your network. Unlike complex parsers that take years to build and require reverse engineering of complex ﬁle formats, ABED can model the expected behavior of new ﬁle formats in hours, creating a baseline for eﬀectively identifying malicious documents. ABED is a Phase II SBIR sponsored by the United States Air Force.
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