A structured threat hunting method built around Prepare, Execute, and Act With Knowledge. It gives hunters a repeatable way to turn hypotheses into investigations and validated findings into lasting defensive improvements such as detections, playbooks, and hardening changes.
How the PEAK framework structures threat hunting
PEAK gives threat hunters a simple operating rhythm: Prepare, Execute, Act, and Knowledge. Its value is not in replacing investigation skill, but in turning hunting into a repeatable process that teams can run, refine, and measure over time.
The framework is especially useful when hunts start as hypotheses rather than alerts. By naming each stage, it helps a team distinguish planning from investigation, and investigation from follow-through. That matters because many hunting efforts fail when findings are not converted into durable defensive changes.
Prepare: build the conditions for a useful hunt
The Prepare stage is where the hunt is scoped. Teams decide what they are looking for, what telemetry they can trust, what assumptions they need to test, and what evidence would be convincing enough to move forward. Good preparation usually includes understanding gaps in logging, visibility, and coverage before a hunt begins.
In practice, preparation is what keeps hunting from becoming random analyst activity. A hunt that is not anchored to data sources, plausible attacker behaviour, and a clear objective is much more likely to generate noise than insight. For that reason, the framework encourages disciplined scoping before any deep analysis begins.
Execute and Act: from hypothesis to validated response
Execute is the investigative phase. This is where hunters query logs, correlate signals, test assumptions, and look for patterns that support or disprove the hypothesis. The framework is useful because it treats investigation as an organised sequence rather than an ad hoc search.
Act is where validated findings become security improvements. A hunt only creates lasting value when it leads to detections, playbooks, hardening, tuning, or other operational changes. A practical threat hunting process should therefore treat “found something” as the beginning of improvement, not the end of the work.
Knowledge: preserve what the hunt taught you
The Knowledge stage turns one hunt into reusable organisational learning. Findings should be recorded in a way that improves future hunts, strengthens detection engineering, and helps other analysts avoid re-solving the same problem. This is the difference between a one-off investigation and a threat hunting capability.
Knowledge also improves prioritisation. Over time, teams can identify which hypotheses produce useful results, which data sources are most reliable, and which defensive changes reduce repeat exposure. That feedback loop is what makes PEAK more than a checklist: it is a method for improving hunting maturity.
Risk and Threat Considerations
PEAK reduces the risk of undirected hunting, but it also highlights a common failure mode: teams can complete investigations without improving detection or response. The bigger threat is not the hunt itself, but the organisational habit of treating hunting as activity instead of a control-improvement loop.
Failure mechanism: Weak preparation, poor telemetry, or no follow-through can leave a hunt with ambiguous results that never become detections, controls, or lessons learned.
Impact: The same attacker patterns can recur because the organisation searched for them once without turning the finding into sustained defensive coverage.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
MITRE ATT&CK addresses the attack and risk surface, while NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| MITRE ATT&CK | Enterprise Matrix | Threat hunting investigates adversary tactics and techniques across the attack chain. |
| Recommendation — Map hunt hypotheses to ATT&CK techniques and use findings to strengthen detection coverage. | ||
| NIST CSF 2.0 | DE.CM-01 — Networks and systems are monitored to detect potential cybersecurity events | Threat hunting extends monitoring by actively searching for potential events in telemetry. |
| RS.MA-01 — Incidents are triaged, escalated, contained, and mitigated | PEAK's Act stage turns validated findings into response and mitigation actions. | |
| Recommendation — Use hunt outputs to improve monitoring coverage and detection logic. Escalate validated hunt findings into mitigation and containment workflows. | ||
| CIS Controls v8 | CIS-8 — Audit Log Management | Threat hunting depends on usable telemetry and log coverage for investigation. |
| CIS-17 — Incident Response Management | The framework's Act and Knowledge stages feed response procedures and lessons learned. | |
| Recommendation — Validate that logging coverage supports the hunt hypotheses you plan to test. Convert validated hunt findings into response improvements and documented lessons learned. | ||
Practitioner Guidance
Why practitioners should care: PEAK is useful when a team needs consistent hunting discipline across analysts, shifts, or maturity levels. It gives leaders a common way to ask whether a hunt was well prepared, well executed, and converted into improvement.
Common misunderstanding: Some teams treat threat hunting as a substitute for alerts or as an isolated analyst exercise. In practice, the framework works best when hunts are tied to telemetry quality, detection engineering, and post-hunt action.
Practitioner takeaway: Use PEAK to ensure every hunt ends with a concrete organisational improvement, not just an interesting finding.
Related resources from NHI Mgmt Group
- What breaks when threat hunting lacks a feedback loop and measurement framework?
- How should security teams use AI for browser threat hunting without creating false confidence?
- What breaks when threat hunting depends only on generic commercial models?
- What do security teams get wrong about using AI agents for threat hunting?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 25, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org