Our sixth annual retrospective, this report is based on in-depth analysis of nearly 60,000 threats detected across our more than 1,000 customers’ endpoints, networks, cloud infrastructure, identities, and SaaS applications over the past year. This report provides you with a comprehensive view of this threat landscape, including new twists on existing adversary techniques, and the trends that our team has observed as adversaries continue to organize, commoditize, and ratchet up their cybercrime operations.

This report is based on in-depth analysis of nearly 40,000 threats detected across our 800+ customers’ endpoints, networks, cloud workloads, identities, and SaaS applications over the past year. This report provide you with a comprehensive view of this threat landscape, including new twists on existing adversary techniques, and that our team has observed as adversaries continue to organize, commoditize, and ratchet up their cybersecurity operations.

This report is an in-depth analysis of tens of thousands of threats detected across our customers’ environments, this research arms security leaders and their teams with a unique understanding of the threats they’re facing.

This report is based on in-depth analysis of roughly 20,000 confirmed threats detected across our customers’ environments, this research arms security leaders and their teams with actionable insights into the malicious activity and techniques we observe most frequently.

This is the 2022 Red Canary Threat Detection Report. This report goes in-depth with over 30,000 confirmed threats detected across our customers environments, this research arms security leaders and their teams with actionable insight into the threats we observed, techniques adversaries most commonly leverage, and trends that help you understand what is changing and why.

A survey driven analysis of 500 security leaders from firms with 700 or more employees and revenues of $500 million or more.

An In Depth Look at the most prevalent ATT&CK techniques according to Red Canary’s historical detection dataset.