Rule Based Security Monitoring

Rule Based Security Monitoring is a cybersecurity approach that uses predefined rules or signatures to detect security threats and anomalies in systems, networks, or applications. It involves monitoring logs, events, and data streams for patterns that match known malicious activities, such as specific attack signatures, unauthorized access attempts, or policy violations. This method is foundational in security information and event management (SIEM) systems and intrusion detection/prevention systems (IDS/IPS).

Also known as: Signature Based Security Monitoring, Rule Based Detection, Security Rule Monitoring, RB Security Monitoring, Rule-Based SIEM

Why learn Rule Based Security Monitoring?

Developers should learn Rule Based Security Monitoring to implement proactive security measures in applications and infrastructure, especially in environments with compliance requirements (e.g., PCI-DSS, HIPAA) or where known threats are prevalent. It's crucial for detecting common attacks like SQL injection, cross-site scripting, or malware signatures, making it essential for roles in DevOps, security engineering, and system administration to ensure early threat detection and response.

Learning Resources

• docs: Splunk Security Essentials: Rule-Based Detection
• course: Coursera: Introduction to Cybersecurity Tools & Cyber Attacks
• video: YouTube: Rule-Based vs Anomaly-Based IDS
• book: O'Reilly: Practical Security Automation and Testing
• tutorial: Elastic Security: Creating Detection Rules