Graphistry unlocks the potential of your data by turning raw records into highly visual and interactive incident maps. Our graph-based analysis reveals hidden connections and context across all your data, and within seconds lets analysts see key relationships, event scope and progression, patterns, anomalies, and more - all without writing a manual query or tabbing between tools. Then easily drill-down and pivot on the fly to follow the investigation.
Graphistry's breakthrough GPU client/cloud technology has raised the bar for interactive visualization by 100X. That means that you can use all the data you want, and still remain fast, responsive, and interactive. Better yet, all you need is a standard browser and our cloud. If you want to run on your hardware, it’s as easy as installing a Docker or launching a cloud VM. That way you get the analytical power of GPUs without having to think about GPUs.
Visual templates make your investigations automated, repeatable, and shareable. Templates automatically gather data from all of your data sources and deliver step-by-step interactive maps that guide analysts through complex investigations and condense hours of data gathering and analysis into a few clicks. Easily share templates to let junior analysts follow the workflows and best practices for your senior analysts.
From prototyping in Jupyter notebooks to deploying StreamLit data apps to embedding in your own streamlined web apps, our easy-to-use visual analytics libraries help you focus less on reinventing & wrangling and more on being fast & best-of-class.
Graphistry brings all your data, tools, and data stores together seamlessly and automatically. Need to correlate across different types of logs? No problem. Or connect your SIEM with Splunk, threat feeds or CSV files? Graphistry works with anything that has an API and handles all the queries on the backend so that analysts can finally use all your data without thinking about it. Just as importantly, staff can intuitively see relationships, clusters, outliers and more without having to think about data science.