How Log Management helps combat Ransomware

Ransomware continues to be one of the most impactful threats facing European organizations.

According to the ENISA Threat Landscape 2025, Ransomware is the most impactful cyber threat in the European Union, with the manufacturing sector among the industries most affected.

The same report also highlights how attacks increasingly exploit vulnerabilities, compromised credentials, and evasion techniques to achieve their objectives.

By the time an organization realizes it is under attack, the threat actor has often already gained access to the network, compromised one or more accounts, obtained elevated privileges, and begun moving across systems and servers in search of the most valuable data.

This is precisely where Log Management can make a difference, before encryption takes place.

Logs continuously record what is happening across IT and OT infrastructures: access attempts, authentications, privilege changes, connections, server activity, account usage, and many other events.

Individually, these may appear to be nothing more than technical information. When correlated, however, they can tell the story of an attack while it is still unfolding.

What are the signs of a Ransomware attack?

Signs of an impending ransomware attack often emerge during the so-called “dwell time”, the period during which an attacker remains inside the network. These signs may involve unusual file, account, network, and security activity.

The following pre-attack indicators should be monitored:

• Unusual account activity: logins at unusual times, authentications from suspicious locations, and behavior that deviates from established patterns.

• Privilege escalation: unexpected changes to an account’s administrative privileges or the assignment of specific permissions.

• Lateral movement: connections between systems that do not normally communicate, repeated authentications to multiple servers, unusual use of privileged accounts, or consecutive access to numerous resources may all be signals worth investigating.

• Unusual endpoint and server activity: process execution, configuration changes, directory access, unusual use of administrative tools, or activity that may precede data encryption.

Why Is Log Management critical for detecting Ransomware?

Log Management helps detect Ransomware threats at an early stage by aggregating, normalizing, and correlating logs from endpoints, networks, identities, and backup systems in real time.

This makes it possible to identify the behavioral anomalies associated with different stages of the attack chain, including reconnaissance, lateral movement, recovery inhibition, and encryption.

Ransomware leaves operational “fingerprints” before and during encryption: anomalous access, execution of living-off-the-land tools, changes to backup policies, snapshot deletion, spikes in file-writing activity, and changes in file extensions.

Without centralized and protected logs, these signals remain scattered across isolated silos, and organizations often realize they are under attack only after their files have already been encrypted.

A well-designed logging strategy reduces Mean Time to Detect (MTTD) and makes it possible to activate countermeasures before the attack reaches the impact stage.

How to structure Log Management for Ransomware detection

To make ransomware detection effective, logging should be designed around the following principles:

• Coverage: enable logging across network devices, servers, endpoints, critical applications, identity providers, email gateways, cloud environments, and, most importantly, backup systems.

• Centralization and normalization: send all logs to a SIEM/Log Management platform and normalize key fields, such as user, host, IP address, process, and action, to enable correlation across heterogeneous events.

• Log protection: ensure the integrity and confidentiality of logs through WORM storage, restricted permissions, and secure channels, preventing attackers from modifying or deleting them.

• Baseline and behavioral analytics: use historical data to establish behavioral baselines for logins, processes, traffic, and file activity, and trigger alerts on significant deviations rather than relying solely on static Indicators of Compromise (IOCs).

• Threat intelligence integration: enrich logs with Indicators of Compromise associated with known ransomware campaigns to improve detection and reduce false positives.

SGBox Advanced Log Management: turning logs into detection capabilities

To address ransomware threats, SGBox combines advanced Log Management, SIEM, and SOAR capabilities within a single proprietary, modular, and scalable platform.

SGBox enables organizations to manage logs centrally and protect them through secure and immutable storage mechanisms, preserving the reliability and integrity of the information collected.

Its value comes from the combination of multiple layers:

• Log collection and centralization, providing a unified view of the infrastructure;
• Immutable logs, protecting evidence and supporting investigation and incident response activities;
• Log Correlation Engine, enabling correlation rules and real-time monitoring of security events;
• Threat Intelligence Feed, adding context to detected activities;
• User Behavior Analytics (UBA), identifying anomalous user behavior;
• Security Orchestration, Automation and Response (SOAR), enabling automated rules and workflows for incident management.

In this way, Log Management becomes an integral part of an organization’s detection and response strategy, enabling security teams to identify what is happening across the corporate digital perimeter while an attack is still underway.

Explore all the features of SGBox Log Management>>