Thanks to those attending my talk at the RSA Conference '23!
On this page, you will find a list of resources mentioned during the talk that I hope will help you and the Community.
But that's not all! This is a great occasion for us, and we wanted to use the opportunity to share with the Community tools that we have been improving during the last year.
We release precisely today one of the projects that you have seen presented in the talk, the CHRYSALIS new release, this time focused on graph data structures for anomaly detection.
Together with my talk, I hope this will be a valuable contribution to the Community.
To start with, you can download the presentation & demo here:
In second place, you can find more information about the projects and tools referenced in the presentation in the previous RSA conference:
We would like to take this great day to announce the new version of CHRYSALIS v0.8.1 (AKA “ds4n6_lib”), our python DN4N6 library that provides an easy way to ingest the output of forensic tools in Jupyter and perform multiple types of Data Science and Machine Learning analysis.
It also adds the mlgraph module that includes two important functionalities:
Very useful, isn't it?
You can get more information about CHRYSALIS in the following blog entries:
As we have seen in the presentation, applying it is very simple, just follow these steps:
You can get more information about here.
Again, thank you very much for attending my presentation. I hope you enjoyed it, you learnt, and it will open your appetite to learn more about Data Science, Machine Learning and DFIR.
You can also:
Hope to meet you personally in any corner of the world one of these days!