The Zscaler ThreatLabz 2026 Ransomware Report reveals a fundamental shift in the ransomware landscape. Attackers are now prioritizing massive data theft over simple encryption, with the volume of exfiltrated data skyrocketing by 275.8% year-over-year. Between April 2025 and March 2026, Zscaler observed top ransomware groups steal 896.2 terabytes of data. While the total number of victims saw a slight decrease, the average ransom payment increased, suggesting that data-driven extortion is proving more profitable. The report also highlights new trends in targeting, with attackers focusing on employees with privileged access and leveraging Generative AI to enhance their campaigns.
The analysis, based on data from the Zscaler cloud security platform, uncovered several key trends:
The report highlights an evolution in attacker techniques:
The strategic shift from encryption to data exfiltration has significant implications for defenders. The primary business risk is no longer just downtime, but also the severe reputational damage, regulatory fines, and competitive disadvantage that result from a public data leak. This tactic puts immense pressure on organizations to pay the ransom, even if they have viable backups. The targeting of specific industries like logistics and utilities indicates a focus on sectors where disruption has a high real-world impact, increasing the likelihood of a quick payout.
Based on the report's findings, Zscaler recommends a proactive, zero-trust approach to security:
Implement network segmentation to limit lateral movement and contain the blast radius of a ransomware attack.
While it doesn't prevent exfiltration, encrypting sensitive data at rest can make the stolen data useless to attackers.
Secure privileged accounts to prevent attackers from gaining the broad access needed for large-scale data theft.
Start of the data collection period for the Zscaler ThreatLabz 2026 report.
End of the data collection period for the report.
Zscaler publishes the ThreatLabz 2026 Ransomware Report.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
CyberNetSec.io uses automation to assist source monitoring, deduplication, observable extraction, and structured intelligence generation. Published analysis follows human-defined editorial standards and adds defensive context including MITRE ATT&CK, D3FEND, STIX, and Sigma where applicable. Read our editorial policy.
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Every tactic, technique, and sub-technique used in this threat has been identified and mapped to the MITRE ATT&CK framework for consistent, actionable threat language.
Observables and indicators of compromise (IOCs) have been extracted and cataloged. Risk has been assessed and correlated with known threat actors and historical campaigns.
Detection rules, incident response steps, and D3FEND-aligned mitigation strategies are included so your team can act on this intelligence immediately.
Structured threat data is packaged as a STIX 2.1 bundle and can be visualized as an interactive graph — relationships between actors, malware, techniques, and indicators.
Sigma detection rules are derived from the threat techniques in this article and can be converted for deployment across any major SIEM or EDR platform.