Collaboration is a critical way modern data analysts scale their insights and impact. It represents the kind of capability gap the Graphistry team aims for in our broader mission to 100X the investigation process. Our team has been working hard on releasing the first wave of new features to scale graph-empowered investigation collaborations across team […]
We just made exploring the relationships in your data that much easier. Already available for free Graphistry Hub accounts and Enterprise (Docker) users in v2.35, you can easily drop any CSV/XLS export into Graphistry and explore its relationships as a graph! Edit 2/19/2021: … And if your data looks good, think about joining the Web […]
2.31 is out! Graphistry Hub cloud users have already been enjoying the fixes and speedups, on-prem users can download one of our Docker tarballs, and the aligned release is making its way through AWS + Azure cloud marketplaces for one-click launches in your team’s private cloud account. Graphistry 2.31.7 adds a lot for working with […]
Threat Hunting Masterclass: Three data science notebooks for finding bad actors in your network logs
Welcome to the inaugural Graphistry masterclass! In our first session, we dig into hunting over encrypted network activity with Zeek logs, Graphistry visualization, and Jupyter Notebooks with special guest Chit from Corelight.
Graphistry makes it easy to explore the hidden connections in any CSV or flat file by automatically exposing the underlying graph. This tutorial walks through the CSV Mini-App notebook that comes with Graphistry and applies it to visualizing the recent Implant Files medical device recalls database by the ICIJ.