We identify the APT and ransomware groups actually operating against your sector, map their TTPs, and turn them into behavioral detections that survive an operator trying to get around them.
Vendor agnostic by design. The same logic ships to Splunk, Sentinel, Elastic, CrowdStrike or MDE in the query language your team already reads.
Detection engineering does not scale by hiring more analysts. We build the pipelines that automate it: model fine-tuning, hunting workflows, threat research and detection-as-code, delivered production ready rather than as a proof of concept.
That covers SIEM and EDR integration, CI/CD for detection content, automated validation against live telemetry, and the feedback loop that keeps rules accurate as your environment drifts.
Writing the rule is the small part. We automate the research, the testing and the maintenance that come after it.
Models fine-tuned on your schema, your log sources and the rules you already run.
Hunt workflows execute on a schedule, triage themselves, and escalate only what survives.
New adversary reporting becomes candidate detections with ATT&CK mapping and test cases attached.
Rules live in Git, get validated in CI against live telemetry, and roll back like software.
