Cylance employs AI to analyze file and application characteristics before execution, predicting and blocking malicious threats including zero-day malware. Behavioral analysis monitors user activity deviations to detect insider threats, leveraging a model trained on billions of data points.
- High-precision threat prevention
- Blocked numerous zero-day attacks
- Reduced insider threat risks
Traditional antivirus and detection methods were ineffective against sophisticated, previously unknown malware and insider threats.
Utilized AI and machine learning models trained on vast datasets to predict malicious intent pre-execution and behavioral analytics to identify insider threats.
- Significant reduction in malware infections
- Early detection and prevention of zero-day attacks
- Improved insider threat visibility and mitigation
- Reduced security operations workload
