Threat Hunting

Proactively search for hidden adversaries within your network.

Overview

Threat Hunting operates on an assume-breach premise: rather than waiting for an alert, hunters proactively search telemetry for evidence that an adversary is already present and has evaded existing detection. This is a deliberately different discipline from SOC monitoring, which is reactive by design — triaging alerts as they fire against known signatures and rules. Hunts are hypothesis-driven, typically anchored to a specific MITRE ATT&CK technique or a threat actor's known TTPs, and are structured investigations rather than open-ended searches: a hunter defines what evidence a specific technique would leave in the environment, then goes looking for it across endpoint, network, and identity telemetry.

Execution draws on EDR telemetry, authentication and network logs, and DNS records, using stack-counting, baselining, and outlier analysis to surface anomalies that a rule-based detection never had a signature for in the first place. A hunt concludes one of two ways: the hypothesis is disproved and the environment is confirmed clean for that technique, or it is validated and the finding is scoped to determine what an adversary actually accessed. Either outcome feeds back into the detection engineering pipeline — a validated hunt is codified into a permanent, automated detection rule, so that the next occurrence of the same behavior is caught by the SOC without needing a human hunter to find it again.

Assume Breach

A disciplined loop, not a one-off search

  1. 1
    01

    Hypothesise

    Select an ATT&CK technique or actor TTP and define its expected evidence.

  2. 2
    02

    Collect

    Assemble EDR, authentication, and network telemetry for the hypothesis.

  3. 3
    03

    Hunt

    Query, pivot, and stack-count to separate anomalies from noise.

  4. 4
    04

    Validate

    Confirm or disprove the finding and scope any real impact.

  5. 5
    05

    Codify

    Turn a validated finding into a durable, automated detection.

Each hunt sharpens the next hypothesis

Service Taxonomy

How does Threat Hunting find threats other tools miss?

Hypothesis-Driven Hunting

Structured investigations anchored to a specific MITRE ATT&CK technique or a known threat actor's TTPs, defining in advance what evidence that technique would leave behind before searching for it.

Data-Driven Hunting

Statistical analysis of telemetry — stack-counting, baselining, and outlier detection across endpoint, network, and identity data — to surface anomalies with no existing signature or hypothesis.

Intelligence-Driven Hunting

Hunts triggered by newly disclosed threat intelligence relevant to the organization's sector or technology stack, searching the environment for indicators and TTPs tied to a specific, current campaign.

Why Us

Hypothesis Discipline Over Alert Fatigue

The differentiator is methodological discipline. Anyone can query logs for suspicious-looking activity; the value is in hunts that are grounded in a specific, falsifiable hypothesis tied to real adversary TTPs and the MITRE ATT&CK framework, executed against telemetry actually capable of proving or disproving that hypothesis, and closed out with a documented outcome regardless of whether anything was found. Every hunt, confirmed or not, is codified — either as a new automated detection rule or as a tested, ruled-out hypothesis the program will not need to repeat blind next quarter. Over successive cycles this compounds into a detection capability the SOC's alert-driven monitoring alone could not reach on its own.

FAQ

Frequently Asked Questions

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