Proactive hunting isn't a random search through security data. At Huntress, our analysts follow a structured methodology built around two core concepts: HACK (the types of triggers that surface hidden threats) and PREVENT (the steps that make each hunt successful).

The HACK framework: Four ways hunters find hidden threats

Most security tools wait for a known bad thing to happen before firing an alert. Huntress hunters don't wait—they go looking. Our analysts use four distinct trigger types to find attacker activity that flies under the radar:

Hypothesis-driven hunting starts with a question: Is a threat actor using cloud service tokens to move laterally in our environment? Analysts form a theory based on emerging attacker tradecraft or threat intelligence, then gather the relevant telemetry—endpoint logs, DNS queries, cloud audit trails—to confirm or deny it.

Anomaly-driven hunting uses telemetry across a large number of systems to identify where activity falls outside a known baseline. A single off-hours login might mean nothing. The same pattern across dozens of endpoints is a different story.

Cluster-driven hunting looks at the full picture around a specific user or system. Individually, each action might look like routine admin behavior. Clustered together over a defined time window, the same activity can reveal an attacker who's been blending in plain sight.

Knowledge-driven hunting takes threat intelligence—an IoC from a feed, a known technique tied to a specific threat actor—and runs it retrospectively across historical data. This is how Huntress analysts catch intrusions that happened weeks before anyone noticed something was wrong.

The PREVENT framework: How a hunt actually runs

Once a trigger is identified, our analysts follow a repeatable process to take it from a hunch to a resolved incident:

Plan: Define a hypothesis, scope the hunt, and identify what data is needed. This keeps hunts focused rather than sprawling.

Research: Pull from blogs, threat feeds, intel reports, and social media chatter to sharpen the hypothesis and understand what "confirmed" looks like before searching.

Execute: Run queries across available telemetry using the scoped hypothesis. The goal is to confirm or deny—not to find everything, but to find the right thing.

Verify: Use live data to add context, recreate attack paths, and rule out false positives before escalating. This is where noisy alerts get filtered and real threats get confirmed.

Enact: On a true positive, response kicks off immediately: isolate systems, deploy host tasking, and open the incident report.

Notify: The partner is informed of what was found and what's being done. Internally, the SOC, Tactical Response, and Hunting teams are looped in so no one is working blind.

Transform: Every hunt ends with a feedback loop. Lessons learned become new product detectors, YARA and SIGMA rules, blog posts, or awareness shared across teams—so the next hunt starts smarter.

Effective threat hunting narrows in on the chokepoints and techniques attackers use to blend in with normal business operations. 

Living off the land (LOTL) techniques

Detecting LOTL often requires human analysts because it uses the system’s own trusted tools to hide malicious activity. For example, PowerShell, a legitimate admin tool, can be used to execute malicious code directly in the computer’s memory—leaving little or no traditional malware file for signature-based antivirus tools to scan. Windows Management Instrumentation (WMI) is hijacked to disable security settings or move from one computer to another. Popular IT tools like AnyDesk can be weaponized by attackers to control another computer remotely. 

Endpoint persistence mechanisms

Once an attacker gets in, they often quickly move to create backdoors so they can get back in if they are discovered, the system reboots, or the initial access method is removed. They can establish persistence by adding a “Run” key to the Windows Registry that instructs the computer to launch a malicious program every time it boots up. They can also create a scheduled task that runs their code at a certain time or when a specific user logs in. Such “autoruns” often require expert analysis to distinguish from legitimate business software.

Authentication and identity anomalies

For many organizations—especially small and mid-sized businesses (SMBs)—maintaining a 24/7 team of expert threat hunters isn’t practical. Salaries, software development and maintenance, and the global cybersecurity skills gap make building an internal SOC a challenge even for larger enterprises. Huntress solves this by providing an AI-Centric  managed security platform and human-led SOC investigations to support proactive detection without requiring internal hunting teams.

• Managed endpoint detection and response (EDR): Traditional EDR platforms often generate noisy alerts that internal teams must tune, investigate, and remediate on their own. Huntress Managed EDR combines a lightweight agent, behavioral detections like Persistent Footholds, Malicious Process Behavior, Ransomware Canaries, and External Recon, and a 24/7 AI-assisted SOC that triages and responds to alerts on your behalf across Windows, macOS, and Linux endpoints.

• Managed identity threat detection and response (ITDR): Extends proactive detection to Microsoft 365 identities and email environments, continuously monitoring for session hijacking, credential theft, malicious inbox and forwarding rules, unusual login locations and VPN anomalies, and other identity-based abuse patterns—backed by our 24/7 AI-assisted SOC

• Managed security information and event management (SIEM): Ingests security-relevant log data from endpoints, firewalls, VPNs, identity systems, and cloud services, then uses Smart Filtering and correlation to surface the events that matter while keeping noise and storage in check.

• That gives our 24/7 AI-assisted SOC the context to, for example, connect a suspicious Microsoft 365 login surfaced by Managed ITDR with a firewall change or failed VPN access attempt.

• Human expertise: Huntress provides a 24/7 AI-assisted Security Operations Center (SOC) staffed by experienced human analysts who investigate threats, analyze emerging tradecraft, and shut down attackers around the clock across millions of endpoints and identities and low false-positive rates.

• Our platform’s Smart Filtering and managed detections cut down the noise so human hunters can focus on real threats instead of alert fatigue. 

See for yourself how Huntress supports proactive defense.