What is cyber threat hunting?

Cyber threat hunting takes a proactive approach to beat back cyber threats that might otherwise go undetected within a network. With new threats constantly emerging, it’s more important than ever to have the right tools and techniques in your arsenal to find and neutralize them.

What is threat hunting?

Threat hunting is the proactive practice of searching through networks and systems to identify and isolate cyber threats that have evaded automated security defenses. Unlike traditional security measures that rely on alerts and known signatures, threat hunting involves security professionals actively examining data, system behaviors, and network traffic to uncover hidden threats that may already be operating within your environment. This manual process combines advanced analytics tools, threat intelligence, and human expertise to detect sophisticated attackers who have bypassed your existing security controls.

Why is threat hunting in cybersecurity important?

The cybersecurity landscape has evolved dramatically, with attackers developing increasingly sophisticated methods to infiltrate networks and remain undetected for extended periods. Traditional security tools are still important. However, they operate based on known patterns and signatures, leaving gaps that advanced persistent threats can exploit. These sophisticated attackers use techniques specifically designed to evade automated detection systems, allowing them to establish footholds in your network and operate silently while they map your infrastructure, steal data, or position themselves for future attacks.

The financial and operational impact of these undetected breaches can be devastating. According to Mandiant’s M-Trends 2025 report, the global median dwell time for attackers in 2024 was 11 days, with some advanced persistent threats maintaining access for months. In fact, more than 7% of intrusions went undetected for over a year. Threat hunting addresses this critical gap by proactively searching for indicators of compromise that automated systems miss.

Organizations that implement threat hunting programs report substantial improvements in their security posture. By actively searching for threats instead of waiting for alerts, security teams can identify and neutralize attacks before they achieve their objectives. This proactive approach also reveals weaknesses in existing security controls, providing valuable insights that help you strengthen your overall defense strategy and prevent future attacks.

How does threat hunting work?

Threat hunting operates as a hypothesis-driven investigation process where skilled security analysts actively search for signs of malicious activity that automated systems haven’t detected. Security teams begin by forming theories about potential threats based on threat intelligence, unusual patterns in system behavior, or emerging attack techniques. Then, they systematically investigate these hypotheses using advanced analytics tools and manual analysis. This approach differs fundamentally from traditional security operations, which respond to alerts generated by security tools. Threat hunters assume adversaries are already present and work to uncover their activities.

The process relies heavily on comprehensive data collection and analysis across your entire infrastructure. Threat hunters examine logs, network traffic, endpoint data, and user behaviors to identify anomalies that could indicate compromise. They use security automation to process vast amounts of data efficiently while applying human intuition and expertise to recognize subtle patterns that machines might overlook. The goal extends beyond simply finding threats. At its core, threat hunting aims to understand attacker methodologies, improve detection capabilities, and strengthen your organization’s overall security posture through continuous learning and adaptation.

A look at the threat hunting process: 3 key steps

The threat hunting process follows a systematic approach that transforms raw security data into actionable intelligence about potential threats in your environment. While specific implementations may vary, successful threat hunting campaigns typically follow three essential stages that build upon each other to create a comprehensive investigation workflow.

A trigger initiates the hunt, whether it’s new threat intelligence about emerging attack techniques, unusual patterns detected in your environment, or specific concerns about targeted threats. During preparation, hunters define their hypothesis and scope the investigation.

Hunters dive deep into security data, using advanced analytics tools to examine logs, network traffic, and system behaviors. They correlate events across multiple data sources to identify patterns that could indicate malicious activity.

Once threats are identified, hunters document their findings, implement containment measures, and work with security teams to remediate the threat. They also update detection rules and security controls to prevent similar attacks in the future.

Threat hunting methodologies

Threat hunting methodologies provide structured approaches to discovering hidden threats, each leveraging different combinations of threat intelligence resources, analytical techniques, and investigative strategies. Security teams typically employ multiple methodologies depending on their specific objectives, available data, and the nature of the threats they’re investigating. These systematic processes maximize the likelihood of discovering sophisticated threats while minimizing wasted efforts on false leads.

  • Hypothesis-based hunting starts with educated assumptions about potential threats based on threat intelligence, industry trends, or observed attack patterns. Hunters develop specific theories about how attackers might compromise their environment and then search for evidence to confirm or refute these hypotheses.
  • Intel-based hunting leverages indicators of compromise (IOCs) and threat intelligence feeds to search for known malicious artifacts in your environment. This approach focuses on matching specific threat signatures, IP addresses, or behavioral patterns associated with documented attacks.
  • Machine learning-based hunting combines organization-specific knowledge with machine learning algorithms to identify anomalies unique to your environment. Custom models learn normal behavior patterns and flag deviations that could indicate compromise, even when those threats don’t match known signatures.

Different types of threat hunting

Threat hunting takes various forms depending on the specific triggers, available information, and objectives of the investigation. Each type of hunt serves different purposes within your security strategy, and effective threat hunting programs typically employ all three of the following approaches to maintain comprehensive coverage against diverse threat vectors:

Structured hunting follows formal frameworks and methodologies to systematically search for specific attack techniques or threat actor behaviors. These hunts use established procedures and predefined indicators to guide the investigation process.


Unstructured hunting centers around exploratory investigations triggered by hunches, anomalies, or unexpected findings during other security activities. Hunters follow the data wherever it leads without predetermined paths or expected outcomes.


Situational hunting responds to specific organizational contexts such as mergers, high-profile events, or industry-specific threat campaigns. These hunts focus on threats most likely to target your organization during particular circumstances or time periods.


Common threat hunting tools

Effective threat hunting requires a sophisticated toolkit that combines data collection, analysis, and response capabilities to help security teams identify and investigate potential threats. These tools work together to provide comprehensive visibility across your infrastructure while enabling hunters to efficiently process massive volumes of security data. Organizations typically deploy multiple complementary tools to support different aspects of the threat hunting process.

  • Security information and event management (SIEM) platforms aggregate and correlate security data from across your environment, providing centralized visibility and advanced analytics capabilities. SIEM systems enable threat hunters to search historical data, identify patterns across disparate sources, and generate alerts based on complex correlation rules.
  • Endpoint detection and response (EDR) solutions provide deep visibility into endpoint security activities, capturing detailed telemetry about processes, network connections, and file system changes. These tools help hunters investigate suspicious endpoint behaviors and track lateral movement within your network.
  • Managed defense services augment internal threat hunting capabilities with external expertise and 24/7 monitoring. These services provide access to experienced threat hunters who bring specialized knowledge and advanced hunting techniques to your security operations.
  • Security analytics and operations platforms leverage big data technologies and machine learning to process and analyze massive volumes of security data. These tools help hunters identify subtle anomalies and patterns that might indicate sophisticated attacks.

Threat hunting FAQs

The primary goal of threat hunting is to proactively discover and neutralize advanced threats that have evaded your existing security controls before they can cause damage. Rather than waiting for automated systems to generate alerts, threat hunting actively searches for hidden adversaries, reducing attacker dwell time and minimizing the potential impact of breaches.

A Security Operations Center (SOC) monitors and responds to security alerts generated by automated systems, focusing on known threats and established patterns. Threat hunting, by contrast, proactively searches for unknown threats that don't trigger alerts, using hypothesis-driven investigations to uncover sophisticated attacks that SOC tools might miss.

You should hunt for threats across all critical assets and data sources in your environment, prioritizing high-value systems, privileged accounts, and network segments that handle sensitive data. Focus hunting efforts on areas with the greatest potential impact if compromised, including cloud infrastructure, identity systems, and endpoints with access to critical resources.

Yes, Google Cloud Security provides comprehensive threat hunting capabilities through Mandiant Threat Defense, delivering 24/7 proactive threat hunting by expert security analysts. Our services combine advanced threat intelligence, proven hunting methodologies, and deep expertise to help organizations detect and respond to sophisticated threats.

Where does threat hunting come into play?

Threat hunting integrates seamlessly into your broader cybersecurity strategy, complementing automated detection systems and incident response processes to create defense in depth. While SIEM platforms and other security tools generate alerts based on known patterns, threat hunting fills the critical gap by actively searching for threats that don’t trigger these automated systems. This approach works in parallel with your existing security operations, providing an additional layer of protection against sophisticated attackers who specifically design techniques to evade detection.

The practice fits naturally within the security operations workflow, bridging the gap between prevention and response. Threat hunters work alongside security investigation teams to provide context for alerts, validate suspicious activities, and uncover related threats that might otherwise go unnoticed. When integrated with SOAR platforms, threat hunting findings can trigger automated response workflows, accelerating containment and remediation while ensuring consistent handling of similar threats in the future. This integration transforms threat hunting from an isolated activity into a force multiplier that enhances every aspect of your security operations.

What metrics should you use to track threat hunting?

Measuring the effectiveness of your threat hunting program requires tracking both operational metrics that demonstrate hunting activity and outcome metrics that show the actual value delivered to your organization. Successful programs monitor indicators such as the number of new detection rules created, previously unknown threats discovered, and improvements in mean time to detection. These metrics help you understand whether your hunting efforts are uncovering genuine threats and contributing to stronger security defenses over time.

Beyond counting incidents and alerts, meaningful threat hunting metrics focus on the quality and relevance of discoveries. Track the number of high-priority vulnerabilities identified and subsequently remediated, gaps in security coverage that hunters expose, and false positive rates that decrease as detection rules improve. You should also measure how hunting activities contribute to threat intelligence development, including new indicators of compromise documented and attack patterns identified that weren’t previously known to your organization.

The most valuable metrics demonstrate how threat hunting reduces risk and improves your security posture. Monitor the reduction in attacker dwell time, the percentage of incidents detected through hunting versus automated alerts, and the number of security control improvements implemented based on hunting findings. These measurements help justify continued investment in threat hunting capabilities and guide program optimization by highlighting which hunting methodologies and focus areas deliver the greatest return.

Critical skills needed for a successful threat hunting team

Building an effective threat hunting team requires assembling professionals with diverse technical skills and analytical capabilities who can work together to uncover sophisticated threats. Successful threat hunters combine deep technical knowledge of network protocols, operating systems, and attack techniques with strong analytical thinking and pattern recognition abilities. They must understand how legitimate system activities differ from malicious behaviors and possess the curiosity to investigate anomalies that others might overlook.

Technical expertise is a must, including proficiency in data analytics, scripting languages, and security tools. Hunters need familiarity with cyber attack methodologies, threat actor tactics, and the ability to reconstruct attack chains from fragmented evidence across multiple systems. Beyond technical skills, effective threat hunters demonstrate persistence in following complex investigative threads, creativity in developing new detection methods, and communication skills to convey findings to both technical and executive audiences. Mandiant threat hunting services exemplify these capabilities, bringing together seasoned professionals who combine frontline incident response experience with advanced hunting techniques to help organizations uncover and neutralize hidden threats.

Kickstart threat hunting with Google Cloud Security

Google Cloud Security empowers organizations to implement world-class threat hunting capabilities through Mandiant Threat Defense, which combines cutting-edge technology with elite security expertise. Our threat hunting teams leverage unparalleled threat intelligence gathered from frontline incident response engagements worldwide, providing unique insights into the latest attacker techniques and emerging threats targeting your industry. With 24/7 proactive hunting coverage, Google Cloud Security helps you detect and respond to sophisticated threats faster while building your internal security capabilities through knowledge transfer and collaborative investigations.

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