Ransomware Attacks Climb 33% as AI Accelerates To...

Executive Summary

A new report from Check Point Research reveals a significant escalation in ransomware activity during the second quarter of 2026. The number of victims publicly posted on data leak sites reached 2,139, a 33% increase compared to the same period in 2025. The threat landscape is also widening, with the number of active ransomware groups increasing from 71 to 93. A key finding from the report is the confirmation that threat actors are leveraging Artificial Intelligence (AI) to accelerate their operations. An internal data leak from the prolific "The Gentlemen" group showed they used AI coding assistants to build their ransomware management panel in just three days. This trend, combined with a shrinking time-to-exploit for new vulnerabilities, signals a more agile and dangerous ransomware ecosystem that demands faster and more adaptive defenses.

Threat Overview

The ransomware landscape in Q2 2026 was characterized by both growth and diversification. While established groups like Qilin (279 victims) remain dominant, their market share is shrinking as new players emerge. The top 10 groups accounted for 57.6% of attacks, down from 71% in the previous quarter, highlighting the rise of smaller, agile factions.

A notable example is the group "The Gentlemen," which surged to become the second most active group with 269 victims, a 62% increase. An internal leak from this group provided concrete evidence of AI's role in their development cycle. The ability to create a functional management panel in three days demonstrates how AI lowers the barrier to entry and speeds up tool creation for malicious actors.

Geographically, attacks are becoming more distributed. The United States' share of victims dropped from 50% to 42%, as newer groups like The Gentlemen, KryBit, and SafePay are targeting organizations outside the U.S. more frequently. The most impacted industries remain Business Services, Consumer Goods, and Industrial Manufacturing.

Technical Analysis

The report highlights two key technical trends shaping the ransomware threat:

AI-Accelerated Development: Threat actors are using Large Language Models (LLMs) and AI coding assistants (e.g., GitHub Copilot, ChatGPT) as force multipliers. This allows them to rapidly generate code for various components of their operation, including management panels, encryption modules, and phishing lures. While AI doesn't create novel attack techniques, it dramatically reduces the time and skill required to build and deploy a ransomware operation.
Shrinking Exploit Weaponization Window: The time between the public disclosure of a critical vulnerability and its integration into ransomware attack chains continues to decrease. AI likely contributes to this by helping attackers analyze vulnerability details and generate proof-of-concept exploit code more quickly. This puts immense pressure on defenders, as the window to apply patches before active exploitation begins is now measured in days, not weeks.

MITRE ATT&CK Techniques

T1486 - Data Encrypted for Impact: The core technique of all ransomware operations.
T1608.001 - Upload Tool: AI coding assistants are used to rapidly develop and refine tools for upload and use in victim environments.
T1190 - Exploit Public-Facing Application: A primary initial access vector, with exploits being weaponized faster than ever.
T1071.001 - Web Protocols: Used for data exfiltration to leak sites, a key component of the double-extortion model.

Impact Assessment

The rising tide of ransomware attacks has a profound impact on businesses and critical infrastructure globally.

Financial Loss: Costs include ransom payments, recovery expenses, legal fees, and regulatory fines.
Operational Disruption: Attacks can halt business operations for days or weeks, leading to significant revenue loss and supply chain disruptions.
Data Exposure: The double-extortion model means that even if a ransom is paid, sensitive corporate, employee, and customer data may still be leaked, leading to long-term reputational damage and legal liability.
Increased Pressure on Defenders: The speed of AI-assisted attacks and exploit weaponization creates a hyper-competitive environment where security teams are constantly on the back foot, struggling to keep pace with patching and threat detection.

IOCs — Directly from Articles

The report is a trend analysis and does not provide specific technical indicators of compromise.

Cyber Observables — Hunting Hints

Security teams should hunt for generic signs of ransomware precursor activity:

Initial Access Brokers (IABs): Monitor for sales of access to your organization on dark web forums. This is often the first step before a ransomware attack.
Suspicious PowerShell Activity: Look for encoded PowerShell commands, downloads from untrusted sources (IWR, Net.WebClient), and attempts to disable security logging or products.
Credential Dumping: Monitor for the execution of tools like Mimikatz or access to the LSASS process memory.
Lateral Movement: Track anomalous use of PsExec, RDP, and WMI for movement between systems, especially from workstations to servers.

Detection & Response

Assume Breach Mentality: With exploit weaponization happening in days, organizations must assume that prevention will eventually fail and focus on rapid detection and response.
EDR/XDR: Deploy advanced endpoint solutions that use behavioral analysis to detect ransomware activities like rapid file encryption, shadow copy deletion (vssadmin), and backup removal.
Network Segmentation: Segment networks to prevent the rapid lateral movement of ransomware. Critical assets should be isolated from the general user network.
Immutable Backups: Maintain offline and immutable backups that cannot be deleted or altered by an attacker who gains administrative access.
D3FEND: Utilize Decoy File (D3-DF) and Decoy Network (D3-DN) to lure attackers and generate high-fidelity alerts early in the attack chain.

Mitigation

Patch Management: Implement a risk-based and aggressive patch management strategy. Critical and internet-facing vulnerabilities must be patched within 24-72 hours.
Attack Surface Management (ASM): Continuously monitor and reduce your external attack surface. Disable unnecessary services and ports, especially RDP.
Multi-Factor Authentication (MFA): Enforce MFA on all external access points (VPN, email) and for all privileged accounts.
User Training: Train users to identify and report phishing attempts, a common initial access vector for ransomware.
Incident Response Plan: Develop and regularly test a comprehensive incident response plan specifically for ransomware scenarios.

To detect ransomware before it encrypts data, security teams should implement Resource Access Pattern Analysis. This involves using an EDR or a file integrity monitoring (FIM) solution to baseline normal file access behavior and alert on anomalies. For ransomware, this means creating detection rules for a single process that rapidly reads, modifies, and renames a large number of files across multiple directories in a short period. This is highly abnormal behavior for any legitimate application. The rule should have a high threshold (e.g., >100 file modifications per minute from one process) to avoid false positives. Another key pattern to monitor for is access to and deletion of Volume Shadow Copies via vssadmin.exe. Detecting these precursor activities allows security teams to isolate the affected host and terminate the malicious process before widespread encryption and damage can occur.

Ransomware Attacks Surge 33% with AI-Powered Tooling