Author: Madhusudhan Dasari

SIEM stands for Security Information and Event Management.  SIEM platforms offer centralized management of security operations, making it easier for organizations to monitor, manage, and secure their IT infrastructure. SIEM platforms streamline incident response processes, allowing security teams to respond quickly and effectively to security incidents. SIEM solutions help organizations achieve and maintain compliance with industry regulations and standards by providing centralized logging and reporting capabilities. SIEM systems enable early detection of security threats and suspicious activities by analyzing vast amounts of log data in real time. 

Key Components in SIEM

• Log Collection: SEIM systems collect and aggregate log data from Various sources across an organization’s network, including servers, endpoints, firewalls, applications, and other devices.
• Normalization: The collected logs are normalized into a common format, allowing for easier analysis and correlation of security events.
• Correlation Engine: SIEM systems analyze and correlate the collected data to identify patterns, anomalies, and potential security incidents. This helps in detecting threats and attacks in real time.
• Alerting and Notification: SIEM platforms generate alerts and notifications when suspicious activities or security incidents are detected. Security analysts can then investigate and respond to these alerts promptly.
• Incident Response: SIEM systems facilitate incident response by providing investigation, forensics, and remediation tools. They offer capabilities for tracking and documenting security incidents from detection to resolution.
• Compliance Reporting: SIEM solutions help organizations meet regulatory compliance requirements by providing reporting and audit trail capabilities. They generate reports that demonstrate adherence to security policies and regulations.

Problem Statement

In Data Engineering, the data/log collection is a challenging task for high-volume sources. For example, in big organizations, the Linux logs may be around 10 billion, and firewall logs may be around five billion per day. Volume spikes in log collection result from sudden increases in data, impacting the data ingestion process, impacting the platform at the storage level, and networking.