Is AI-based detection better than signatures?
Neither is better on its own: signatures are precise for known threats, behavioural methods catch what has no signature yet, and good tools use both. A signature matches something already known, such as a malware fingerprint or an exploit string, so it rarely raises a false alarm but misses new variants and attackers who use your own administration tools. Behavioural or machine-learning detection compares activity with what is normal and can see a new tool calling home, but it needs time to learn your network and it must explain itself, or every alert becomes a mystery. Be careful with the label: ask a vendor what the model actually looks at, how it reduces false positives on your data, and whether each alert says why it fired. NetSenX scores host behaviour and explains every alert in plain language. It does not quote a false-positive rate it cannot back with your own data.