What is rule-based detection when compared to statistical detection?

 Rule-based detection is a type of intrusion detection system (IDS) that uses predefined rules or signatures to identify malicious or suspicious activity. Rule-based detection can provide proof of a user’s action, such as an attempt to exploit a known vulnerability or execute a malicious command. Rule-based detection can also provide a high level of accuracy and specificity, but it requires constant updates and maintenance of the rules or signatures. References: https://learningnetworkstore.cisco.com/on-demand-e-learning/understanding-cisco-cybersecurity-operations-fundamentals-cbrops-v1.0/CSCU-LP-CBROPS-V1-028093.html (Module 4: Attack Methods, Lesson 4.2: Attack Techniques)