Real-Time Threat Detection

Continuously monitoring systems to identify and respond to threats in real-time.

Understanding:

Real-Time Threat Detection refers to continuous monitoring and analysis of system activity to identify and respond to cyber threats as they occur. It relies on artificial intelligence (AI), machine learning (ML), and behavioral analytics.

Common Applications and Use Cases:

Security Information and Event Management (SIEM) – Aggregates and analyzes logs in real time.

Intrusion Detection Systems (IDS/IPS) – Identifies and mitigates malicious activity.

Threat Hunting & Incident Response – Enables proactive cybersecurity defense.

Best Practices and Security Considerations:

Automate Threat Intelligence Feeds – Enhances real-time visibility into emerging threats.
Use Machine Learning for Anomaly Detection – Identifies deviations from normal behavior.
Integrate SOAR (Security Orchestration, Automation, and Response) – Improves rapid response to security incidents.