Detection Engineering
Build a detection library that keeps pace with adversaries. We design, develop, and maintain custom detection rules as version-controlled code, mapped to MITRE ATT&CK, and continuously validated against your environment.
What We Deliver
Scalable, maintainable detection logic built as code for Sentinel and Splunk.
All detection rules are written, reviewed, and deployed through a version-controlled pipeline. Rules are stored in Git, peer-reviewed before deployment, and automatically tested against historical data to validate coverage before they go live.
Every detection is mapped to one or more MITRE ATT&CK techniques. We maintain a coverage matrix for your environment so you always know which techniques you can detect and where your gaps are.
We write detection rules tailored to your environment's data, user behavior baselines, and threat model - not generic out-of-the-box rules that generate high false-positive rates.
Implementation of risk-based alerting frameworks that correlate multiple weak signals into high-confidence alerts. RBA dramatically reduces alert fatigue by surfacing only events that meet a meaningful risk threshold.
Detections are not static. We regularly test rules against new attack data, tune thresholds as your environment evolves, and retire rules that no longer add value.
Integration of threat intelligence feeds into your detection logic, enabling indicator-based detection alongside behavioral analytics for comprehensive coverage.
Detection Engineering for Sentinel & Splunk
We build and manage detection content for both Microsoft Sentinel (KQL analytics rules, scheduled queries, watchlists) and Splunk (correlation searches, Enterprise Security content packs, custom lookups). Whether you are running one platform or transitioning between them, our detection-as-code approach ensures consistency and quality across your entire detection library.