Security logging is a critical part of modern cybersecurity, providing the foundation for detecting, analyzing, and responding to potential threats. As highlighted by OWASP, security logging and monitoring failures can lead to undetected security breaches. With the average cost of a data breach adding up to $4.45 million, most organizations can’t afford to miss a security incident.
For today’s Security Operations Center (SOC), effective security event logging is essential to maintain the integrity and security of an organization’s systems and applications. Doing so provides comprehensive visibility into all activities across the IT environment. This visibility is crucial for detecting and responding to security incidents in real-time, identifying potential vulnerabilities, and ensuring compliance with regulatory requirements. In addition, thorough logging supports forensic investigations and threat hunting by creating an audit trail of all security events, which helps trace the origins of any suspicious or unauthorized actions.
Want to master security logging? Let’s explore the top five best practices to help you handle potential threats as they emerge.
Comprehensive log collection is the first step in building a robust security logging strategy. By logging all critical systems and applications, you can capture a complete picture of your IT environment, making it easier to detect and respond to security incidents. The good news is that many of the log data types typically used in log management for DevOps can be applied to a security use case, as well. Looking at log data is especially important, as sophisticated attackers often use legitimate IT tools to hide in plain sight.
Below are log data types security operations teams can review regularly.
Log integrity refers to the accuracy and trustworthiness of log data. Maintaining log integrity ensures that the data has not been tampered with and is reliable for security analysis and compliance purposes. Many attackers will attempt to modify log data to hide their trails, through techniques like log injection, deletion, or alteration.
Regular log analysis and review is a critical part of establishing and maintaining a proactive security posture. Routine reviews help in identifying anomalies, detecting potential threats, and ensuring compliance with security policies. Using threat hunting, teams can use established methodologies like the MITRE ATT&CK Framework to search for threats that may be lingering undetected in your systems.
Retaining logs for an extended period is essential for identifying long-term trends and improving the understanding of system behavior. Long-term data retention aids in historical analysis, compliance, and forensic investigations.
Real-time monitoring is crucial for the immediate detection of security incidents. It complements long-term log analysis and threat hunting by providing instant alerts to emerging security incidents, allowing for faster incident response times.
Automated alerts for suspicious activity ensure timely responses to potential threats. Setting up these alerts involves configuring thresholds and conditions based on your security policies and risk tolerance, with the goal of reducing false positives.
Implementing Security Information and Event Management (SIEM) or Security Orchestration, Automation, and Response (SOAR) tools can enhance real-time log analysis. These tools provide robust monitoring and alerting capabilities, yet may be cost-prohibitive for many companies for long-term log analysis (we’ll address this next).
A centralized log management system offers a number of benefits, including reduced costs, enhanced visibility, and improved accuracy in threat investigation. By unifying data from different security tools, a centralized platform provides a single source of truth for your security operations.
For example, a platform like ChaosSearch leverages existing cloud object storage (e.g. Amazon S3) to reduce costs and enable the analysis of higher volumes of log data for longer periods of time. This strategy can complement the real-time capabilities of a SIEM or SOAR, where long-term log ingestion and retention costs often become untenable.
ChaosSearch can also be used with a security data lake to enhance the detection of long-term trends. It allows you to analyze data in different formats without data movement, streamlining threat investigation and improving accuracy.
Effective security logging is essential for maintaining the integrity and security of an organization’s data, systems, and applications. By following the best practices outlined above, you can enhance your security logging strategy. As a result, you can significantly improve your organization's ability to detect, analyze, and respond to security threats, enhancing your overall cybersecurity posture.