Cybereason vs Red Canary
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cybereason is an AI-driven endpoint detection and response platform that correlates behavioral signals across endpoints to detect and visualize the full attack story.
About
Cybereason is a cybersecurity company headquartered in Boston, Massachusetts that provides AI-powered endpoint detection and response (EDR), extended detection and response (XDR), and managed detection and response (MDR) services to enterprises and government organizations worldwide. Founded in 2012 by veterans of the Israeli military's elite Unit 8200 intelligence division, Cybereason built its platform around a fundamentally different approach to threat detection: rather than detecting individual malicious events in isolation, the company's MalOp (Malicious Operation) engine correlates thousands of behavioral signals across all endpoints simultaneously to construct a complete, chronological attack story — showing security analysts exactly how a threat entered the environment, which systems were affected, what lateral movement occurred, and what the adversary's ultimate objective was. Cybereason has raised over $400 million from investors including SoftBank and Liberty Strategic Capital.
Red Canary is the leading MDR provider, named a Forrester Wave Leader in Q1 2025 with highest scores in 10 criteria; acquired by Zscaler in 2025 for AI-driven threat response integration; 500% increase in cloud identity attacks detected in H1 2025.
About
Red Canary is a leading managed detection and response (MDR) company that provides 24/7 threat detection, investigation, and response services across endpoints, identities, networks, and cloud environments. Founded in 2013 and headquartered in Denver, Colorado, Red Canary combines proprietary behavioral analytics, threat intelligence, and a team of expert security analysts to detect and contain threats that evade traditional security tools. Its platform maps detections to the MITRE ATT&CK framework and delivers sub-minute detection times, giving security teams an efficient force multiplier without the overhead of building full in-house security operations centers.
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