Detection engineering services that find real threats, not noise
We build, test and tune detections as code, mapped to MITRE ATT&CK and your threat landscape, so analysts spend time on true positives and leadership sees measurable coverage.
What we deliver
ATT&CK coverage assessment
Map existing rules and log sources to MITRE ATT&CK, identify blind spots and prioritise by the threats relevant to your industry and region.
Detection-as-code
Version-controlled detection content in Git with peer review, automated testing and CI/CD deployment to your SIEM.
Sigma & portable content
Vendor-neutral Sigma rules translated to SPL, KQL, EQL and other query languages, so detections move with you between platforms.
Use-case tuning & false-positive reduction
Baseline, threshold and allow-list engineering that typically cuts alert volume 40–80% while preserving fidelity.
Detection validation
Adversary emulation and atomic testing to prove rules fire, plus regression tests that catch breakage after log or schema changes.
Data-source readiness
Confirm each detection has the fields and log sources it needs, and feed requirements back into your security data pipeline.
Related platform pages: SIEM log & detection engineering
We work closely with and support both MSSPs and Enterprises
Detection quality is the product your SOC delivers. We help providers scale content across customers and help enterprises prove coverage to auditors and the board.
For MSSPs, MDRs & SOC providers
- Reusable detection libraries deployed across tenants and SIEM platforms
- Per-customer tuning without forking your core content
- Coverage reporting by tenant, mapped to MITRE ATT&CK
- Lower analyst load per customer through false-positive reduction
- Faster launch of new MDR offerings and premium tiers
For Enterprises & GCCs
- Threat-informed coverage aligned to your sector and region
- Measurable MTTD improvement and fewer low-fidelity alerts
- Audit-ready evidence for NCA ECC, SAMA, CERT-In, MAS TRM and BNM RMiT
- Detection content that survives SIEM migration
- Upskilling for in-house detection engineers
From first call to measurable outcomes
Discovery call
45 minutes on your environment, pain points and goals. No commitment.
Current-state assessment
Sources, volumes, cost, detections and bottlenecks, delivered in 2–4 weeks.
Proof of value
A scoped, time-boxed proof of value with agreed success criteria.
Delivery & handover
We engineer, test, document and transfer knowledge to your team.
Frequently asked questions
What is detection engineering?
Detection engineering is the discipline of designing, building, testing and maintaining threat detections as software. It covers coverage mapping, rule development, tuning, validation and lifecycle management.
What is detection-as-code?
Detection-as-code treats detection rules like software: stored in version control, peer reviewed, automatically tested and deployed through a CI/CD pipeline to your SIEM.
Which SIEMs do you support?
We engineer detections for Splunk, Microsoft Sentinel, Elastic Security, Google SecOps, IBM QRadar, OpenSearch and other platforms, using Sigma for portable content where it fits.
How do you reduce false positives?
We analyse alert history, apply baselines, thresholds and contextual enrichment, and remove or rebuild low-value rules. Typical engagements reduce alert volume by 40–80%.
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Explore →Talk to a security data engineer
A focused 45-minute discovery call on your log sources, volumes, SIEM and detection goals. No sales pitch: just a direct conversation about whether we can help.