Magnet Forensics and Child Rescue Coalition Integrate Technology to Help Identify and Apprehend Child Predators

As we exhibit this week at the National ICAC Conference in Atlanta, Georgia, we’re extremely honored to unveil a new technology integration. Magnet AXIOM will soon be able to ingest data from Child Rescue Coalition (CRC)’s Child Protection System (CPS), a comprehensive system that compiles and curates millions of online child predator records. The technology … Continued

5 Magnet Forensics Mobile Success Stories

Magnet AXIOM, IEF, and ATLAS have proven their mettle time and again for our customers. From our earliest days carving browsing data that no other vendor could acquire, to the present day combining and analyzing acquisitions from multiple data sources, we’re committed to ensuring our customers’ success. We wanted to take some time to highlight … Continued

Connections in Magnet AXIOM Q&A Part 2

This is the second part in a two-part series. You can read Part 1 here. In our short series on AXIOM Connections, we’ve given an overview of what Connections is (a fast, easy way to visualize how different artifacts are related to one another across devices) and how it works (automatically, with minimal time and … Continued

New White Paper Lists 10 Must-Have Mobile Forensic Skills

Last year we published a series of blogs, “Being Forensically Curious,” that was based on a presentation coauthored by Magnet Director of Forensics Jessica Hyde and Forensic Consultant Cesar Quezada. That presentation, “Mobile App Parsing – All About that Data” is available as a recorded webinar here. Both the webinar and the blog series outline … Continued

Taking Magnet.AI Up a Notch in AXIOM 2.0

When we introduced Magnet.AI at this time last year, we were proud to be the first in the industry to introduce contextual chat content classification. One year later, Magnet AXIOM is still the only digital forensics tool that uses machine learning to identify messages that contain potential illicit content—and we’re proud to add new classifiers … Continued