User Behavior Analytics

Security starts with your organization, but what if your company has 100, 1000, or even 100,000 users? Identifying suspicious user activity simply can’t be done manually; you need a strategy for finding the “bad guys” who may be undermining your organization from within. In this video, Jeff “The Security Guy” explains how analyzing user (and entity) behaviors with UBA/UEBA tools can help cut through the haze and identify potential threats to your IT security.

#AI #Software #Dev #lightboard #IBM #UEBA

[FreshWillBoy]

This presentation was explained extremely well. Thank you!!!

[Untap]

I come from an ABA background, and a career in IT. This is the most fascinating thing I’ve heard in a long time. I want more content of this.

[KrzysztofRozacki]

User behavior analytics is not only about looking for anomalies.

[atanjacket]

I feel like you could make a comedy sketch from this:

User downloads large log data history to make ML model => User trains new model from accessed data => User goes to upgrade algorithm by loading more data into model => Model notices user accessing more data than normal => User gets fired due to heightened security risk => Model never upgraded again.

[leowhogoestothedojo]

So, create decoy anomalies and get all that has to be done from entities which can function around those anomalies, so the attention will never be drawn to them. And everything appears to fit within the square box.