Ransomware Concentrates: 10 Groups Control 71% of Attacks in Q1 2026
The first quarter of 2026 recorded 2,122 organisations as victims of ransomware, the second largest Q1 in history. The significant change: the ten largest groups concentrated 71% of the attacks, signalling a consolidation of the criminal ecosystem and more sophisticated attacks.
The first quarter of 2026 recorded 2,122 organisations listed on ransomware leak sites, the second highest total for Q1 in history, according to the State of Ransomware Q1 2026 report by Check Point Research. The data reveals a structural shift in the criminal ecosystem with direct implications for corporate security strategy.
The main transformation lies not in the volume, but in the concentration. The top ten ransomware groups accounted for 71% of all victims during the quarter, a sharp reversal from the fragmented ecosystem that dominated 2025. When fewer groups control more attacks, the result is more sophisticated operations, higher ransom demands, and reduced negotiation margins for the victims.
The four groups dominating the scene
Four criminal organisations concentrated 41% of all victims for the quarter: Qilin, Akira, The Gentlemen, and LockBit.
Qilin maintained its position as the most prolific group for the third consecutive quarter, with 338 confirmed victims. LockBit saw a significant resurgence with 163 victims, demonstrating resilience after substantial disruptions enforced by authorities in 2024.
The most intriguing case is that of The Gentlemen, a newly emerged group that quickly ascended to third place globally. Unlike opportunistic groups, they operate from pre-compromised access, executing large-scale attacks with unusual speed. The "access first, attack later" methodology represents the maturation of the ransomware-as-a-service ecosystem.
The dominant vector: compromised third parties
In April 2026, every serious incident tracked by researchers was attributed to a compromised third party, a supplier, BPO provider, or application connected via OAuth. The attack surface has shifted from the organisation's perimeter to the digital supply chain.
The most frequent initial access vectors are: credential abuse (22%) and vulnerability exploitation (20%). The global average cost of a data breach reached USD 4.44 million, with an average cycle of 241 days between compromise and containment.
Geographical and sectoral concentration
The United States remains the primary target, accounting for 49.6% of the victims. LockBit has diversified geographically into Europe and Latin America, reducing exposure to scrutiny from Western authorities.
Sector-wise, manufacturing, healthcare, and business services remain the most affected, a combination of operational complexity, sensitivity to downtime, and less resilient legacy infrastructures.
What changes in the defensive strategy
The concentration of power among more sophisticated groups calls for a revision of the defensive approach. Three practical implications:
Third-party management as a critical frontier: risk is no longer confined to within the organisation. Security programmes for suppliers, OAuth reviews, and BPO monitoring must be frontline controls.
Zero Trust as an operational imperative: the pre-compromised access methodology employed by modern groups presupposes that the attacker is already inside the network. Zero Trust architectures that limit lateral movement are the appropriate structural response.
Response speed over absolute prevention: with faster attack cycles, the goal shifts from "not being compromised" to "detect and contain before exfiltration". An average detection time of under 48 hours is the new competitive benchmark in security.
The WEF report (Global Cybersecurity Outlook 2026) concludes that cyber risk in 2026 is driven by three simultaneous forces: advancements in AI used by attackers, geopolitical fragmentation reducing cooperation between countries, and the increasing complexity of digital supply chains. Organisations that do not revise their security posture based on this new reality are operating with an obsolete threat model.