The human element is something that tends to get ignored while devising a cybersecurity strategy. This is one of the rising causes of insider threats and attacks, which, when not addressed, can be disastrous. User and entity behavior analytics (UEBA), which leverages ML and AI techniques to establish a baseline of normal behavior, helps detect a wide range of attacks.

Identity-driven security is the next big thing. Accidental data leaks, account takeovers, credential abuse, and many other high-level data breaches can be prevented if you monitor user behavior and implement identity-based security hardening techniques such as Zero Trust architecture. An ML-based UEBA solution coupled with a well-established Zero Trust architecture can protect your network from persistent and sophisticated attacks. In this webinar, we'll discuss how a UEBA solution fits into a Zero Trust architecture and how you can implement one.

What we'll discuss:

Causes of rising insider threats and attacks

The need to account for the human element in cybersecurity

How UEBA fits into a Zero Trust architecture

What to look for in a UEBA solution