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Cybersecurity

Threat hunting

Detections catch what you thought to look for. A hunt starts from a question: if an attacker were doing this here, what would it look like in our data? Then an analyst goes and checks.

The problem this service solves

Attackers who already have valid credentials or who live off the land do not trip signature-based tools. They look like administrators doing administrative things. The only way to find them is to ask questions of the data that no rule asks yet.

Hunting is not a replacement for detection. It is how detections get discovered. Every hunt should end with one of three results: an incident, a new detection, or a documented gap in data that needs fixing.

Who asks for it

  • SOC managers

    Hunt playbooks your analysts can repeat.

  • CISOs

    A view of data gaps and blind spots.

  • Incident responders

    Scoped checks after a suspected compromise.

What is in scope

  • Identity hunts

    Unusual sign-ins, token theft indicators, mailbox rule abuse, new application consents and privileged role changes in Microsoft Entra ID and other identity providers.

  • Endpoint hunts

    Process lineage, persistence mechanisms, credential access and remote execution on Windows and Linux.

  • Cloud hunts

    Unusual API activity, key creation, role assumption chains and data access in AWS, Azure and Google Cloud.

  • Network hunts

    Beaconing patterns, rare destinations, tunneling and lateral movement signals.

  • Data readiness review

    Whether the logs needed for each hunt exist, are searchable and are kept long enough.

How the work runs

Each hunt follows the same loop. A program is many hunts run over time.

Hypothesize

Decide what to look for.

  1. 1

    Threat-informed selection

    Pick techniques relevant to your industry and environment, using ATT&CK and public reporting.

  2. 2

    Data check

    Confirm the data exists to answer the question.

Hunt

Search and investigate.

  1. 3

    Query and analyze

    Build searches, review results, pivot to related data and rule out benign explanations.

  2. 4

    Escalate

    If something is confirmed, hand off to incident response with a timeline.

Convert

Make the hunt pay off.

  1. 5

    Detection backlog

    Turn useful queries into scheduled detections with tuning notes.

  2. 6

    Playbooks

    Document the hunt so analysts can repeat it.

  3. 7

    Gap register

    List missing logs and visibility issues, ranked.

What you receive

  • Hunt reports: hypothesis, data used, queries, results
  • New detection rules in your platform’s language
  • Reusable hunt playbooks
  • Telemetry gap register
  • Briefing for analysts and leadership

Tooling and technique

Query platforms

  • Microsoft Sentinel (KQL)
  • Splunk (SPL)
  • Elastic
  • Google SecOps

Endpoint

  • Microsoft Defender
  • CrowdStrike
  • Velociraptor
  • osquery

Reference

  • MITRE ATT&CK
  • Sigma

Tool categories describe how we work. They are not a claim of vendor partnership or certification.

Standards we map to

Frameworks and references

  • MITRE ATT&CK
  • TaHiTI and PEAK hunting frameworks (as references)

Mapping findings to a framework is not the same as certification against it.

Before we start

What we need from you

  • Read access to SIEM, EDR and identity logs
  • Time from an analyst who knows the environment
  • A list of known administrative tools and normal change windows

What this service is not

  • Continuous monitoring or a managed detection service
  • A compromise assessment (a broader, one-time review)
  • A guarantee of finding an intrusion

What changes afterwards

  • Analysts know how specific attacker behaviors look in your data
  • New detections exist for hunts that found signal
  • Missing logs are documented and prioritized

Questions people ask

Do we need a SIEM before a hunt?

You need searchable logs from identity, endpoints or cloud. A SIEM is the usual way to get them, but some hunts can use EDR or cloud-native logging alone.

What happens if you find an intruder?

We stop, tell you immediately, preserve what we have found and, if you wish, move into incident response with you.

What does a hunt in Microsoft Entra ID look for?

Examples include sign-ins from unusual locations or devices, consent grants to new applications, changes to authentication methods, creation of credentials on service principals, and inbox rules that forward or hide messages.

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