What is anomaly detection in cybersecurity?

What is anomaly detection in cybersecurity?

Anomaly detection in cybersecurity refers to identifying unusual patterns or behaviors in network traffic that may indicate a security threat.

How does it work?

It works by using algorithms to analyze data and establish a baseline of normal behavior, then flagging deviations from this baseline.

What are some common techniques used?

Common techniques include statistical analysis, machine learning, and rule-based systems to detect anomalies.

Can you give an example of an anomaly?

Sure! An example would be a sudden spike in data transfer from a user account that typically has low activity.

What tools can I use for anomaly detection?

Some popular tools include Splunk, IBM QRadar, and ELK Stack, which offer various features for anomaly detection.