Machine learning enhances threat detection by identifying patterns and anomalies that rule-based systems miss.
ML Applications
- Anomaly Detection - Identify unusual behavior patterns.
- Malware Classification - Detect new malware variants.
- User Behavior Analytics - Spot compromised accounts.
Challenges
ML systems require quality training data, ongoing tuning, and human oversight to avoid false positives.
ML at Fraudcache
Fraudcache uses machine learning to improve IP classification accuracy and reduce false positives.
ML-Powered Protection
Learn how Fraudcache scoring works.