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[DAISY] Documentation (v0.5) >> [DAISY] User Manual (v0.5) >> [DAISY] Overview

[DAISY] Overview

What is DAISY?

DAISY (DFIR Data Science & AI) is a Virtual Machine designed to carry out Data Science and Machine/Deep Learning Analysis on DFIR data.

Highlights

  • Integrations: full DS/AI environment ready to be used in your investigations, including all the main tools such as Pandas, JupyterLab, etc. and also forensic tools such as Sleuth Kit Tools, Volatility 3, RegRipper, etc.
  • DS4N6 Project included: DAISY includes the ds4n6_library and is ready to be used with the new ML functions we are developing
  • Full of references: it includes cheat sheets and other documentation to take advantage of the DAISY use
  • Precooked evidence and notebooks: if you choose the demo version, you have precooked evidence and jupyter notebooks ready to be run and start learning
  • Limitations: When using pandas and other DS/AI libraries/tools, everything is loaded into memory, so you will be limited to the amount of memory you have