Threat Detection

Threat detection is a cybersecurity practice focused on identifying malicious activities, anomalies, or security breaches within an IT environment before they cause significant harm. It involves monitoring networks, systems, and applications using various tools and techniques to spot indicators of compromise (IoCs) or suspicious behavior. The goal is to provide early warning and enable timely response to mitigate potential damage from cyber threats like malware, unauthorized access, or data exfiltration.

Also known as: Threat Hunting, Security Monitoring, Intrusion Detection, Anomaly Detection, Threat Intel

Why learn Threat Detection?

Developers should learn threat detection to build more secure applications and systems, as it helps identify vulnerabilities and attacks during development and operation. It's crucial for roles in DevSecOps, cloud security, and incident response, especially when working with sensitive data or critical infrastructure. Use cases include implementing logging and monitoring in applications, analyzing security logs in cloud environments (e.g., AWS CloudTrail), and integrating threat intelligence into CI/CD pipelines to catch issues early.

Learning Resources

• tutorial: Splunk Threat Hunting Tutorial
• docs: MITRE ATT&CK Framework
• course: Coursera: Introduction to Cybersecurity Tools & Cyber Attacks
• docs: OWASP Threat Modeling
• video: YouTube: Threat Detection in Cloud Environments