Securing business data by integrating UEBA and Zero-Trust

Cybersecurity is quintessential in organizations due to rising global connectivity. Most businesses know that cyberattacks from outsiders are quite common, so they equipped themselves accordingly. However, insider attacks are difficult to detect because the users already have legitimate access to an organization's sensitive and critical data. Traditional rule-based and signature-based attack detection systems often fail to capture such insider attacks and the human element associated with them.

Cybersecurity frameworks like user and entity behavior analytics (UEBA) leverages machine learning (ML) and artificial intelligence (AI) techniques to analyze user behavior and establish a baseline of normal behavior. This is used to detect any anomalies and differentiate them from normal behavior, giving organizations an opportunity to thwart sophisticated insider attacks. When UEBA is combined with Zero Trust architecture, an identity-based security hardening technique, it can be used to circumvent most attacks that originate from within the network.

This e-book will outline how organizations can implement UEBA and Zero-Trust together to mitigate insider threats.

Learn about:

• Types and anatomy of insider attacks
• The need to account for the human element
• The role of UEBA in cybersecurity
• Cybersafety at the intersection of UEBA and Zero-Trust
• A checklist for using a good UEBA solution