The sophistication of cyber threats continues to evolve. So why do so many cybersecurity tools rely on rule and signature-based analytics? These tools are good at stopping what they are programmed to identify, but unforunately, leave gaps that threat actors find and exploit.

The PatientLock platform reviews security data based on more than 250 behaviors. Its machine learning detection recognizes anomalies and finds what others miss to help security teams stay ahead of attackers. We call it Adaptive Analytic Detection. Reduce noisy alerts 97% more effectively than typical SIEM.