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Scoring files with
Cylance
AI

The
Cylance Engine
uses
Cylance
AI to classify files as bad or good with a certain level of confidence. The classification is made based on machine learning models. The models are being constantly improved using machine learning to refine the accuracy of the results.
The models contained in this version of the
Cylance Engine
are listed in the table below. Each of these models requires a corresponding dynamic library (a shared object in
Linux
terms).
File type
Model name
Extensions
Windows
executables
Ensemble-20230818-S3V3-PE7E.cym
.acm, .ax, .cpl, .drv, .efi, .mui, .ocx, .src,
.sys, .tsp, .exe, .dll
macOS
executables
Ensemble-20210721-S3V4-MO3.cym
Ensemble-20210409-S0V2-MOFAT.cym
(none), .o, .dylib, .bundle
Linux
executables
Ensemble-20180730-S2V7-ELF2.cym
(none), .o, .ko, .mod, .so
OLE files
Ensemble-20180718-S3V3-OLE3.cym
.doc, .xls, .ppt
OOXML files
Ensemble-20180718-S3V3-OOXML3.cym
.docx, .xlsx, .pptx
PDF files
Ensemble-20230607-S3-PDF4.cym
.pdf
Archive files
Ensemble-20190319-S0V5-ARC.cym
.zip, .7z, .rar, .tar, .gz, .bz2, .xz
Files with the .zip extension are supported whether they are password-protected or not. Files with the .rar extension are supported only if they are not password-protected.