methodology

Manual Threat Hunting

Manual Threat Hunting is a proactive cybersecurity methodology where security analysts actively search for threats, anomalies, and malicious activities within an organization's network, systems, or data that may have evaded automated detection tools. It involves hypothesis-driven investigations, using human intuition, expertise, and various tools to uncover hidden or advanced persistent threats (APTs). This process aims to identify security gaps, improve defenses, and reduce the dwell time of attackers before they cause significant damage.

Also known as: Threat Hunting, Proactive Threat Hunting, Cybersecurity Hunting, Security Hunting, APT Hunting
🧊Why learn Manual Threat Hunting?

Developers should learn Manual Threat Hunting to enhance their security skills, especially when building or maintaining critical applications, as it helps in identifying vulnerabilities, understanding attack vectors, and improving incident response. It is particularly useful in environments with high-security requirements, such as finance, healthcare, or government sectors, where automated tools might miss sophisticated attacks like zero-day exploits or insider threats. This skill enables developers to contribute to a security-first culture and better protect sensitive data and infrastructure.

Compare Manual Threat Hunting

Manual Threat Hunting vs Automated Threat Detection→Manual Threat Hunting vs Security Automation→Manual Threat Hunting vs Vulnerability Scanning→

Learning Resources

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SANS Threat Hunting and Incident Response Course
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MITRE ATT&CK Framework for Threat Hunting
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Threat Hunting with Splunk Tutorial
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Cybrary Threat Hunting Course
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The Threat Hunting Project by Sqrrl
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Related Tools

Incident ResponseSecurity Information And Event ManagementDigital ForensicsIntrusion DetectionMalware Analysis

Alternatives to Manual Threat Hunting

Automated Threat DetectionSecurity AutomationVulnerability Scanning