What does FortiGate use to filter out malicious traffic?

FortiGate utilizes a combination of heuristic and behavioral analysis to effectively filter out malicious traffic. This dual approach allows for a more comprehensive detection mechanism. Heuristic analysis involves identifying patterns or signatures that have been previously recognized as associated with malicious activity. It often looks for characteristics that signify a potentially harmful threat based on known behaviors or attack vectors.

Behavioral analysis complements this by monitoring network traffic and user behavior over time to establish a baseline of normal activity. When any deviation from this norm occurs, such as unusual traffic patterns or unexpected communications, the system can respond accordingly, flagging or blocking the suspicious behavior.

The combination of these two analytical methods enhances FortiGate's ability to adapt to evolving threats by not only relying on historical data but also by recognizing new types of attacks based on observed anomalies. This integration leads to a much more proactive and dynamic defense against various forms of cyber threats.

Choosing solely behavioral analysis or relying on manual auditing would limit the system's effectiveness, as would using random sampling, which could miss critical threats by not examining all traffic consistently. Therefore, the blend of heuristic and behavioral analysis allows FortiGate to maintain robust security measures against a wide array of potential attacks.