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Ransomware detection is more critical than ever. In 2024, attacks hit a record high with 5,263 major ransomware incidents reported worldwide, and the threat continues to accelerate. Attackers are now weaponizing AI to engineer faster, stealthier ransomware variants capable of evading traditional defenses, disguising malicious activity as normal behavior, and encrypting systems in minutes.
Detecting ransomware early is the difference between rapid containment and catastrophic business disruption.
In this blog, we’ll explore how to detect ransomware across every stage of an attack: pre-execution, during active encryption, and post-compromise. You’ll learn the early warning signs to watch for, the tools and techniques that deliver the strongest visibility, and the best practices managed service providers (MSPs) and IT teams can implement to stay ahead of AI-driven threats.
Ransomware prevention and detection serve different but equally critical roles in a defense-in-depth strategy. Prevention focuses on reducing the attack surface by processes such as hardening systems, applying patches, maintaining offline backups, and enforcing security awareness training. While these measures block many commodity threats, they can’t guarantee safety from today’s ransomware-as-a-service (RaaS) ecosystems, where affiliates deploy constantly mutating strains that bypass traditional controls.
The consequences of relying on prevention alone are severe. For example, a 158-year-old UK firm collapsed after a ransomware attack that was triggered by a single weak password, leading to the loss of 700 jobs.
This is where detection becomes indispensable. By identifying ransomware behaviors at different stages of the attack lifecycle, before, during, and after encryption, MSPs and IT teams gain the early warning needed to contain the spread, preserve forensic evidence, and initiate recovery before complete compromise.
Pre-execution detection
In-progress detection (active encryption)
Post-execution detection (spread and impact)
At this stage, detection enables SOC teams to contain the blast radius, protect adjacent systems, and start recovery workflows.
Spotting ransomware early depends on recognizing patterns across endpoints, networks, and users. Key indicators that often precede or accompany an attack include:
Next: convert these signs into automated detections with the rules below.
MSPs and IT teams that build automated detection rules around these behaviors, especially file system anomalies, security tool tampering, and network exfiltration, gain a crucial window to contain ransomware before full impact.
Automating ransomware detection rules gives MSPs and IT teams faster visibility into suspicious activity without overwhelming analysts with noise. These 12 rules cover the ransomware attack chain and can be implemented in ConnectWise SIEM™ or validated through ConnectWise MDR for accuracy.
1. Suspicious login activity: Trigger an alert for repeated failed logins, RDP access outside business hours, or successful logins from foreign IP addresses.
2. Phishing payload execution: Flag Office applications (Word, Excel, Outlook) spawning PowerShell, cmd.exe, or wscript.exe processes.
3. Malicious script execution: Detect PowerShell commands containing base64-encoded strings, which are commonly used to obfuscate ransomware loaders.
4. Unauthorized LSASS access: Alert when non-system processes attempt to read LSASS memory, a sign of credential dumping.
5. New scheduled task or service creation: Flag when unexpected scheduled tasks or autorun services are created.
6. Security tool tampering: Alert when endpoint protection is disabled, event logs are cleared, or registry keys tied to startup are modified.
7. Mass file modification: Detect when more than 500 files are modified in 60 seconds or when unusual extensions (*.locked, .crypt) appear.
8. Shadow copy deletion: Flag execution of vssadmin delete shadows or equivalent commands targeting system restore points.
9. Abnormal CPU or disk spikes: Alert on unexplained surges in resource usage by non-standard processes, signaling encryption in progress.
10. SMB and LDAP enumeration: Detect rapid SMB session creation or LDAP queries that indicate reconnaissance for lateral spread.
11. Suspicious Kerberos ticket activity: Alert when golden ticket–style anomalies or abnormal Kerberos requests occur.
12. Unusual outbound traffic: Flag large outbound data transfers, DNS tunneling, or encrypted traffic to non-whitelisted IPs, especially outside business hours.
No single tool catches every attack. A layered detection strategy ensures coverage across endpoints, networks, and user behavior. It includes tools such as:
For MSPs, combining these tools under a centralized solution such as ConnectWise MDR and ConnectWise SIEM delivers unified visibility and actionable intelligence. Integrated detection within the ConnectWise Security Dashboard and the ConnectWise Asio® platform ensures ransomware signals from endpoints, networks, and logs are correlated in one place, reducing attacker dwell time and improving response coordination across teams.
Ransomware moves fast, often encrypting thousands of files in minutes. To stay ahead, MSPs and IT teams need disciplined detection practices backed by automation and advanced analytics. With ConnectWise MDR and ConnectWise SIEM, automated detection and response becomes a structured, technical, and protective workflow across every stage of the attack chain.
Ransomware will continue to evolve, with AI-driven variants making detection and response even more challenging for MSPs and IT teams. The difference between a contained incident and a full-scale business outage comes down to visibility, speed, and automation. With ConnectWise MDR and SIEM, ransomware detection and response become structured and actionable. Alerts are validated by SOC experts, false positives are filtered, and automated workflows enable rapid containment.
Want to see how ConnectWise helps detect and stop ransomware in real time? Register for a live demo of ConnectWise MDR and ConnectWise SIEM or speak to an expert today.
The earliest signs of ransomware often include mass file renaming, unusual file extensions (such as .locked or .crypt), sudden spikes in CPU or disk usage, and disabled security tools. On the network side, look for unusual outbound traffic or connections to suspicious IPs.
Early detection relies on continuous monitoring across endpoints, logs, and networks. Automated rules can flag suspicious events such as:
ConnectWise MDR provides 24/7 SOC support to validate these alerts, while SIEM correlates logs across systems to reduce false positives.
A layered detection strategy is most effective:
ConnectWise combines these into a unified detection ecosystem, reducing complexity for MSPs and IT departments.
Yes. Many ransomware strains perform pre-execution activities such as:
By monitoring these behaviors, ConnectWise SIEM and MDR can catch ransomware precursors before encryption occurs.
Key log sources include:
SIEM platforms such as ConnectWise ingest these logs and apply correlation rules to highlight ransomware-specific patterns.
Automated rules reduce dwell time by flagging known attack behaviors instantly. Examples include:
ConnectWise SIEM applies these rules at scale, while MDR SOC analysts filter out noise and escalate only verified threats.
Detection is only half the battle. Automation accelerates containment through:
In the ConnectWise Asio platform, validated MDR alerts can automatically trigger these response playbooks.
While business continuity and disaster recovery (BCDR) isn’t a detection tool, it plays a critical role in the response phase. Immutable backups and rapid restore capabilities ensure that even if encryption occurs, systems can be rolled back without paying ransom. ConnectWise BCDR integrates with MDR detection workflows so recovery can begin immediately after containment.
Both are essential. Prevention lowers the chance of compromise, but detection ensures rapid containment when ransomware bypasses defenses.
ConnectWise offers:
This layered approach ensures ransomware is detected earlier, escalated faster, and contained automatically.