Solutions · Detection Engineering

Detection

Detection content engineered against your environment, your telemetry and the adversaries that target your sector.

Detection engineering built for your telemetry.

A detection engineering practice built on the Helios AI/ML Suite and Vectra's APAC threat library. We build, tune and maintain the rules and ML models that fire in your SIEM or XDR, against the telemetry you actually collect and the adversaries that actually target you.

We start with a coverage gap assessment against your telemetry and threat profile, prioritise the gaps that matter, then build, test and operate detection content against them - with measurable false-positive and dwell-time targets.

Outcomes

Fewer false positives, shorter dwell time.

  1. Tuned per tenant

    No generic playbook library - rules and ML models tuned against each customer's baseline and operational reality.

  2. MITRE ATT&CK aligned

    Coverage mapped to ATT&CK and to the campaigns we have observed this quarter against your sector.

  3. Continuous tuning

    Detection content reviewed against drift and false-positive rate as the estate changes - not set-and-forget.

  4. Helios for the long tail

    ML models for the behaviours rules cannot catch, with reasoning and evidence attached to each detection.

Security, engineered around you.

You'll speak with a security engineer who works on engagements like yours. We'll walk through where you are, what's at risk and the next steps worth taking. No scripts, no obligation.