Detection engineering & threat hunting

Look for behaviour that matters in your environment.

Specialist delivery and availability are confirmed during scoping.

THE RIGHT STARTING POINT

For organizations improving an existing detection stack. Platform deployment, monitoring hours, and live incident response have separate scopes.

A clear scope. A useful outcome.

Choose a threat hypothesis and check whether the necessary evidence exists. Build or tune analytics, validate them with approved test activity, and document what an analyst should investigate. Treat a hunt with no observed evidence as a bounded result, not proof that the environment is uncompromised.

The final scope, deliverables, and timing are agreed for your engagement.

What we cover

• Threat hypotheses and telemetry requirements
• Detection logic and enrichment design
• Historical or live-data hunts within agreed access
• Analyst triage steps and validation scenarios

What you take away

• Prioritized detection and hunting backlog
• Versioned analytics with tested assumptions
• Hunt findings, data gaps, and investigation notes
• Validation procedures and maintenance ownership

How to engage

A focused engineering sprint or recurring detection and hunting cycle.

What progress looks like

Relevant behaviours detected in validation, actionable alert quality, and telemetry gaps resolved.

Before the engagement.

Agree the systems and business processes in scope, the authorisation required, the people involved and how the findings will be used. Timelines, deliverables, exclusions and any verification work should be confirmed directly.