Final answer:
UEBA would flag scenarios where user behavior deviates significantly from established patterns, such as spending an unusual amount of time on secure servers, failing to log on for several days, accessing the network from an external location, or sending an atypically high number of emails in a day.
Step-by-step explanation:
User and Entity Behavior Analytics (UEBA) is a cybersecurity process that uses machine learning to understand typical user behavior and to detect anomalies or deviations from these patterns. The situations that UEBA might flag for review include:
- A user who normally spends less than an hour accessing a secure server but one day spends almost all their time on it. This could indicate that the user is accessing data for unauthorized purposes or may be an inside threat.
- A user who consistently logs on to the server at a specific time frame but fails to log on for several consecutive days. This could suggest a compromised account.
- A user who typically accesses the network from within the office but one day accesses the network from an outside location using the organization's VPN, this could indicate potential remote attacks or unauthorized access from an unusual location.
- A user who normally sends a reasonable number of emails each day but sends an unusual amount, like over 1,000 emails in one day, this could point to data exfiltration or spam activity being conducted from the compromised account.
Anomalies in user behavior can be indicative of security threats, thus UEBA solutions would flag these actions for review by security personnel or analysts.