Thread.
One of the best things about working at @Mandiant is watching seasoned #DFIR pros join the team and then seeing their jaw drop when they see the bad ass tools we have. We get to spend more time analyzing the data than we do collecting and parsing it.
Want to collect authentication records stored locally on every endpoint and build a time bound graph of all network authentications for privileged users? Sure, click here.
Oh, you want to find every shell bag entries for a domain admin across 100,000 endpoints? Sure. Click here.
Want to collect timelines of forensic artifacts on 100 systems simultaneously so that a team of DFIR pros can analyze them with a distributed web application designed for forensic analysis, backed by a big data platform. Sure, click here.
Want to explore and analyze the collected data in new and novel ways? Sure, show of those SQL skillz. Just make sure you read @hiddenillusion Confluence page first.
ooooh, you want to collect every WMI command line event consumer and find the least common? Sure, click here.
Oh, you want to parse the wtmp from 10,000 Linux systems? Sure, click here.
Found a new artifact that we don't have a distributed parser for? No problem, we have a team that will build one for you.
You want to collect the ShimCache from memory on 100,000 endpoints? Sure, click here.
Want to parse BITS QMGR databae from 100,000 endpoints? Sure, click here.
Oh, you need to correlate all of this disparate data from hundreds of systems accessed by an attacker into a cohesive timeline events? Yeah, export that to Excel.

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