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AIS RESEARCH

Artificial-Intelligence Based Endpoint Defender

Challenge

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.

Automated File Anomaly Detection

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 I SBIR sponsored by the United States Air Force.

Key Insights:

  • Automated learning capability quickly categorizes new file formats
  • Simple to use API
  • Low false positive rate (less than one percent)
  • US Patent Pending

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