
Cybereason is an XDR platform that collects, correlates, and analyzes endpoint and network telemetry to detect, investigate, and respond to cyber threats across enterprise environments.
Cybereason is an extended detection and response (XDR) platform designed to help organizations rapidly identify, analyze, and stop cyber threats across endpoints, networks, cloud environments, and identities. Its primary purpose is to consolidate security telemetry, correlate malicious activity into attack stories, and enable security teams to respond faster and more accurately to complex attacks. Built on a cloud-native architecture, Cybereason aims to provide real-time visibility and control at enterprise scale.
The platform ingests data from endpoints, servers, cloud workloads, and identity systems, then applies behavioral analytics and machine learning to detect known and unknown threats, including ransomware, fileless malware, and advanced persistent threats. Its MalOp (Malicious Operation) engine reconstructs entire attack chains, presenting analysts with a unified view of all related events, users, and assets involved, rather than isolated alerts. Cybereason supports automated and guided response actions such as isolating endpoints, killing processes, quarantining files, and rolling back malicious changes. Integration with SIEM, SOAR, and threat intelligence feeds allows organizations to operationalize existing investments and streamline incident workflows.
Please sign in to comment
💬 No comments yet
Be the first to share your thoughts!
Explore 489+ top alternatives to Cybereason

Deep Instinct is a cybersecurity platform that uses deep learning to preemptively detect, prevent, and explain unknown cloud data threats in real time.

Arctic Wolf provides an AI-driven cybersecurity platform that continuously monitors, detects, and responds to threats to help organizations manage and improve their security operations.

Prisma Cloud is a cloud-native application protection platform that monitors, analyzes, and secures infrastructure, workloads, and code across cloud, multicloud, and hybrid environments.