Threat hunting is a proactive, human-led search for signs of a threat inside an IT environment, before it triggers an alert in automated detection — unlike a classic SOC team, which reacts to alerts tooling already generated. It assumes some attacks deliberately avoid tripping rules, so finding them means actively searching data based on a hypothesis.
Quick Overview
What you’ll learn:
- How threat hunting differs from reacting to alerts in a classic SOC
- A comparison table of both approaches by initiative, input data and goal
- A step-by-step plan for your first threat-hunting cycle
- What data sources a team needs before it starts hunting for threats
- How the MITRE ATT&CK framework helps formulate hunting hypotheses
Who this article is for:
- SOC teams considering extending their work into threat hunting
- Security managers assessing team maturity before investing in this function
- Security analysts planning their first proactive threat-hunting cycle
Reading time: 6 minutes
How Threat Hunting Differs From Reacting to SOC Alerts
A classic Security Operations Center (SOC) works reactively: a detection system (SIEM, EDR) generates an alert based on a defined rule or an anomaly, and an analyst investigates that specific alert. That approach works well for known attack patterns, but it has a gap: a threat that doesn’t trip any rule — because it’s new, well disguised, or abuses legitimate system tools in an unusual way — stays undetected until it does damage visible by other means.
Threat hunting reverses that direction of work: an analyst starts from a hypothesis (“could technique X, described in MITRE ATT&CK, have occurred in our environment”) and actively searches data to confirm or reject it — regardless of whether any alert was ever generated. The SANS Institute’s recurring research into threat-hunting practice at organisations consistently identifies data-source maturity and log quality as a stronger determinant of a threat-hunting programme’s effectiveness than an analyst’s experience alone.
Threat Hunting vs Reacting to SOC Alerts — Compared
| Criterion | Classic SOC (reactive) | Threat hunting (proactive) |
|---|---|---|
| Starting point | An alert generated by a detection system | A hypothesis formulated by an analyst |
| Initiative | The tool initiates the investigation | The human initiates the investigation |
| Scope of threats found | Known patterns covered by detection rules | Also threats that trigger no rule at all |
| Data required | Alerts and logs tied to a specific event | Broad, historical access to logs from many sources |
| Outcome | Closing or escalating a specific alert | A confirmed or rejected hypothesis, sometimes a new detection rule |
Threat hunting doesn’t replace a classic SOC — it complements it exactly where automated detection can’t reach by definition.
A Step-by-Step Plan for Your First Threat-Hunting Cycle
- Formulate a specific, testable hypothesis — not “let’s look for something suspicious,” but a concrete question, such as “are there signs of lateral movement over RDP at unusual hours in our environment.”
- Use MITRE ATT&CK as a source of hypotheses — a framework cataloguing genuinely observed attack techniques lets you work systematically through successive tactics instead of guessing what to look for.
- Verify you have the data needed to investigate the hypothesis — missing the right logs (authentication logs or network traffic, say) invalidates a hypothesis before the investigation even starts; it’s the most common reason first cycles fail.
- Search the data against the hypothesis, documenting the process — record what you searched for and why, regardless of outcome; an undocumented hunt that found nothing loses its value for future cycles.
- Confirm or reject the hypothesis based on the evidence gathered — no evidence confirming a threat is a valuable outcome, not a failure; it means that attack technique likely isn’t present in the environment.
- Turn confirmed findings into a new detection rule — if the hypothesis is confirmed, convert the manual search into an automated rule so future occurrences of the same technique generate an alert without needing another manual hunt.
What Data Sources a Team Needs Before It Starts Hunting for Threats
Threat hunting without the right source data is a theoretical exercise. A minimum set includes authentication logs (who logs into which systems, when and from where), network-traffic logs (what connections get made between hosts), endpoint logs from an EDR tool (what processes run on workstations and servers), and a long enough retention period for that data — a hypothesis about an event from three months ago is useless if logs are only kept for 30 days. The SANS Institute’s research identifies insufficient retention and fragmented logging coverage as one of the main barriers organisations face trying to launch a threat-hunting programme — the problem is more often about data availability than analyst skill.
Read Also
- Zero Trust Architecture: Security Without a Trusted Network — how a proactive security approach fits into a broader Zero Trust architecture
- Building a Security Operations Center (SOC) Team — how threat hunting fits into a SOC team’s structure and maturity
Build Your Skills
This topic connects to the Threat Hunting Fundamentals — Proactive Threat Detection course. Check the program and sign up to build your skills with EITT’s experts.
Frequently Asked Questions (FAQ)
How does threat hunting differ from a SOC analyst’s job?
A SOC analyst responds to alerts already generated by a detection system. A threat hunter actively formulates a hypothesis about a possible threat and searches data to confirm or reject it, regardless of whether any alert appeared at all — this covers threats that by definition trigger no detection rule.
Does no confirmed threat mean a failed hunting cycle?
No — a rejected hypothesis is a valuable outcome, showing that a given attack technique likely isn’t present in the environment. A genuine failure is a cycle with no clear, testable hypothesis, or without the right source data to investigate it.
How does the MITRE ATT&CK framework help with threat hunting?
By cataloguing genuinely observed attack techniques in a standardised way, it lets you work systematically through successive tactics and techniques as a source of hypotheses to search for, instead of guessing what to look for in the data.
What’s the most common barrier to launching a threat-hunting programme?
Insufficient log retention and fragmented logging coverage — without a long enough retention window for authentication, network-traffic and EDR data, many threat-hunting hypotheses simply can’t be investigated at all, regardless of analyst skill.