Statistical detection relies on analyzing data over time to identify patterns and anomalies, without predefined rules. It uses algorithms and statistical models to determine normal behavior and identify deviations.
Rule-based detection uses predefined rules or patterns to identify known threats or vulnerabilities, often based on signatures or behaviors associated with specific attacks.