The future of Cloud-Native Cybersecurity arrives with ThreatML with supervised learning. Detection-In-Depth goes beyond anomaly detection to help DevSecOps teams predict threats, vulnerabilities and risks. ThreatML with supervised learning classifies and labels rules to “teach” an inference engine not only how to detect anomalies, but to predict behavior.
Use Threat Stack’s new ThreatML with supervised machine learning / deep learning for cloud security to gain high-efficacy alerts and intrusion detection for compliance audits while avoiding false negatives/positives causing alert fatigue for DevSecOps teams.
Supervised Learning, ML’s next step, delivers relevant and prioritized threat alerts to SecOps, DevOps, and other security teams, to focus on what’s vital.