2022 SC Awards Finalists: Best Threat Detection Technology

CyGlass alerts to the most important threats the security/IT team must act upon. Its AI stack combines unsupervised machine learning, semi-supervised machine learning, a threat intelligence engine, an event correlation engine, all integrated into a policy engine.

Reveal(x) 360 allows security teams to unify security controls across hybrid, multi-cloud, containerized and IoT environments with network detection and response (NDR) for cloud-native security. The solution eliminates cloud and encrypted traffic blind spots and correlates detections to show defenders the exact path an attacker took, allowing teams to shut out attacks fast.

Securonix Autonomous Threat Sweeper (ATS) is deployed as part of the SIEM or XDR solution and can inspect telemetry from a diverse set of sources, including endpoint, network and cloud systems. The solution acts as air-cover for security teams by automating the process of assessing a company’s exposure and initiating incident response.

Vectra detects threats and alerts customers in real-time on attack methods in hybrid and multi-cloud environments using advanced ML algorithms ranging from deep learning neural networks to hierarchical clustering. Vectra helps security teams find and prioritize threats, instantly investigate attacker actions, and respond using native capabilities before attacks can do damage and without operational impact or downtime.

VMware has taken an automated, distributed and enterprise-wide approach to preventing advanced threats. The solution, VMware Advanced Threat Prevention with NSX Distributed Firewall, provides protection against advanced threats. It increases fidelity, reduces false positives, and accelerates remediation while simultaneously reducing the amount of manual work that analysts must do.