Security Information and Event Management (SIEM) is a solution for collecting, aggregating, and making use of security events and log data to detect security threats and prevent breaches. As an integrated security management tool, it helps identify, investigate, and respond to malicious activities, suspicious behaviors, and compliance violations in large or distributed environments.

Security events are created from different sources of system and application components, network and user activities which are logged and can be monitored in real-time or stored for analysis at a later time. Event data, usually collected from various systems within an organization, is normalized, correlated, and analyzed for possible security incidents.

SIEM technology uses various hardware and software modules to detect security threats, monitor system activity, mitigate security risks, detect malicious activities and generate reports on historic security events. It uses artificial intelligence (AI) and machine learning to detect and predict threats. It can detect threats in near real-time, helping minimize exposure and potential damage.

SIEM solutions work in tandem with other security solutions such as antivirus and intrusion detection systems (IDS) and provide advanced analytics capabilities to organizations for collecting, analyzing and responding to threats in a timely manner.

Organizations use SIEM to track changes to systems, detect abnormal behavior, suggest proactive measures, identify segments of events that are related to malicious or suspicious activity, verify security policies to ensure they are effective and compliant with regulations, and report on identified incidents.

Moreover, organizations also use SIEM solutions for compliance requirements, data protection and data privacy. Thus, SIEM systems are a vital part of an organization’s security infrastructure and are essential for protecting sensitive data and preventing security breaches.

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