The Machine Learning is a good approach to spam fighting. Rodolfo Saccani, the LibraCyber CTO, written a short article explaining why the IA is a winning approach. You can find the article here.
LibraCyber ESG has 3 on board IA engines to increase the spam detection and minimize false positive:
- AI Classifier (see here all details!)
- Bayesian Engine
- CRM114 Spam Classifier
About AI Classifier, you can decide to enable/disable domain based analysis based on classification
Classification types are:
- Advertising
- Business Email Compromise (BEC)
- Legit
- Newsletter
- Phishing
- Spam
- Transactional
- Unsolicited Marketing