Detection and Response

What is threat hunting?

Threat hunting is the proactive, hypothesis-driven search for attackers who may already be inside the network, carried out by analysts before any alarm goes off. Instead of waiting for the alert, the hunter assumes the company has already been breached and goes looking for the quiet signs the automated tools missed. It is the human complement to automated detection.

Zamak TechnologiesUpdated on July 12, 2026

How threat hunting works

Threat hunting does not wait for the alarm to ring. It flips the logic: it assumes the intruder is already in and goes out to find them, in a four-step loop that pairs the analyst's intuition with the data the company already records.

Form a hypothesis

It all starts with a question rooted in how attackers behave: “if someone had stolen a credential and were moving across the network, what trace would they leave?”. Tactics and techniques from MITRE ATT&CK turn the hunch into a hypothesis you can test.

Investigate the data

The hunter combs the telemetry the company already collects (endpoints, logs, network and cloud) for the behavior the hypothesis predicts. They look for the pattern, not a known signature, which is exactly what the alarm does not catch.

Uncover and confirm

The investigation ends one way or the other: it finds the intruder or the hidden activity and reconstructs what they touched, or it confirms the hypothesis does not hold. A well-run “nothing found” has value too: it reduces uncertainty.

Respond and strengthen the defense

If something turns up, the threat is contained and removed. And the finding becomes a new automated detection: today's hunt teaches the system to fire on its own next time. Each round leaves the defense smarter.

Source: N-able Cyber Encyclopedia (threat hunting) and the SANS Institute.

What threat hunting looks for that the alarm misses

Activity that looks legitimate: a valid account behaving outside its normal pattern, or the intruder using the system's own tools (living off the land) so that nothing they install trips an alert.
Weak, scattered signals that mean nothing on their own but together tell a story: an unusual login, a rare process and a small outbound transfer, all on the same day.
Dormant persistence: a foothold planted weeks earlier, waiting for the moment to act, making no noise while it waits.
Slow lateral movement, one hop at a time from machine to machine, quiet enough to avoid attention.
Discreet communication with the outside (beaconing), the intruder “calling home” hidden inside the company's normal traffic.

The three types of threat hunting

Hypothesis-driven (based on TTPs) The most mature kind: the hunter starts from attackers' known tactics and techniques (mapped in MITRE ATT&CK) and asks “if they used this technique here, what would I see?”. It is truly proactive and needs no prior clue.
Intelligence- or indicator-driven (IOC) It starts from a known indicator (an address, a file, a freshly reported campaign) and checks whether it has already shown up in the environment. It turns news of an attack into a concrete search at home.
Anomaly- and machine-learning-driven It starts from a deviation from normal behavior flagged by analytics or machine learning; the analyst then investigates whether that deviation is an attack or just the day's unusual.

Why threat hunting matters to the business

29 min

the average time an intruder takes, once in, to move out across the rest of the network (CrowdStrike, 2025 data)

48%

of intrusions are not spotted by the company itself: the alert comes from outside or from the attacker (Mandiant M-Trends, 2026)

51%

of organizations have now formalized a threat-hunting methodology, up from 35% the year before (SANS, 2024)

The problem threat hunting solves is time. Once inside, an intruder takes on average 29 minutes to start spreading across the network (CrowdStrike, 2025 data), yet often stays hidden for days before acting, precisely because it moves quietly. And even as internal detection improves, in nearly half of intrusions (48%) the company is not the one that finds them: the alert comes from outside, from a customer, a bank or law enforcement, or from the criminal, in the ransom note (Mandiant M-Trends, 2026). Waiting for the alarm bets the whole business on a tool catching a patient, quiet intruder. Threat hunting flips the bet: it assumes they are already in and sets out to find them first. No surprise it has become standard practice, with 51% of organizations having formalized it (SANS, 2024). The sooner a breach is found, the smaller the damage and the cost.

How to put threat hunting to work

Hunting for threats does not require an expensive lab, it requires method and the right raw material. Five steps make the practice viable, even for those without an operations center of their own.

Adopt an “assume breach” mindsetStop asking only “were we breached?” and start asking “if we already were, where are they?”. That shift in premise is what separates hunting from simply waiting for the alarm.
Secure the raw material: data and retentionYou cannot hunt what you do not record. Rich telemetry from endpoints, network, cloud and identity, kept long enough, is the ground the hunter searches.
Use the map: MITRE ATT&CKThe catalog of attacker tactics and techniques turns a hunch into a testable hypothesis and gives a common language to describe what is being sought and what is found.
Put skilled people on it, in-house or dedicatedHunting is human: the tool speeds the search, but it is the analyst who raises the hypothesis and reads the finding. Many companies gain this capability through a managed service, alongside the internal team, without building a unit from scratch.
Close the loop: every finding becomes a detectionThe greatest value of hunting is learning from it: each discovery should become a new automated detection rule. What you hunted by hand today should fire on its own tomorrow.

In practice

Automated detection asks “is this an attack I already know?”. Threat hunting asks the missing question: “what if the attack I don't yet know is already inside?”. It is the difference between locking the door and going to check whether someone already came through it.

How Zamak handles threat hunting

At Zamak Technologies, threat hunting is not a stray add-on: it is part of managed cybersecurity, within the Threat Hunting & Response (MDR/XDR) of the Zamak Method. Analysts start from the premise that the intruder may already be in, investigate the telemetry with the help of advanced endpoint defense (EDR) and the MITRE ATT&CK map, and turn every finding into a new detection, fed by the threat intelligence that anticipates attackers' tactics. All of it alongside your team, which stays in charge: hunting is the proactive reinforcement an internal team rarely keeps up on its own, around the clock. Start by measuring where your company stands with the cybersecurity diagnostic.

Frequently asked questions about threat hunting

What is the difference between threat hunting and automated detection?

Automated detection (from an EDR or a SIEM) waits for a rule or signature to fire and then alerts. Threat hunting does the opposite: it assumes something got through and actively goes looking, guided by hypotheses, for what no alarm flagged. The two complete each other: hunting finds what slipped past and teaches the tool to catch it next time.

Do I need a SOC or an MDR to hunt for threats?

Hunting is a discipline, not a product: you can do it with a security operations center (SOC) of your own, or contract it as part of a managed detection and response (MDR/XDR) service. For most companies the managed service is the path, because it delivers analysts and around-the-clock coverage without the cost of building an internal team.

Is threat hunting automated?

Tools accelerate the hunt: they query telemetry in seconds and use machine learning to point out anomalies. But the core is human: it is the analyst who raises the hypothesis, reads the context and decides whether it is an attack. Automation feeds the hunt and receives back the detections it creates.

What is the difference between threat hunting and threat intelligence?

Threat intelligence is knowledge about attackers and their tactics, the input. Threat hunting is the act of searching for those attackers inside your own environment, often using that intelligence as a starting point. One informs; the other investigates.

Does a small company need threat hunting?

It does, and it is often the least protected: it rarely has proactive detection, so an intruder can go unnoticed for months. A small company gains hunting through a managed service, getting enterprise-grade watch without building an operations center.

What does threat hunting find that the tools miss?

The patient, silent intruder: the one who uses valid credentials and the system's own legitimate tools, advances slowly and stays for days or weeks below the threshold that would trip an alarm. It is exactly that profile, the one that makes no noise, that hunting exists to find.