
Anomaly detection operators respond to
Detect fraud, operational drift, and security signals in streaming and batch data — with actionable alerting.
Anomaly Detection: What we deliver
We design anomaly detection for cyber, finance, and operations teams — balancing sensitivity with false-positive load so analysts act on signal, not noise.
Anomaly Detection engagements include baseline modeling, multi-signal fusion, alert routing with runbooks, and feedback loops so models improve from analyst labels over time.
How we apply Anomaly Detection
01
Discover
Map workflows, stakeholders, data, integrations, and success metrics.
02
Design
Architecture, security model, delivery plan, and acceptance criteria.
03
Build
Production engineering with CI/CD, testing, and observability.
04
Launch
Rollout, training, documentation, and operational handoff.
05
Improve
Tune accuracy, cost, latency, and adoption after go-live.

Threat signal SOC teams can act on
ML-driven detection and compliance workflows that surface ranked incidents — signal over noise for security operations.
Read story
Self-serve analytics without opening the BI queue
Governed natural-language access to business data so leaders get answers without waiting on analysts or raw SQL.
Read storyWhy teams choose Aqeeq for anomaly detection
Production programs across retail, supply chain, education, and security — selected logos from recent work.
Anomaly Detection: Questions we get most often
Most engagements run from a few weeks for focused discovery or prototyping to multi-quarter delivery for enterprise programs. We scope timelines upfront against clear acceptance criteria.
Yes. We integrate with your product, engineering, and operations teams — providing architecture leadership, delivery capacity, or end-to-end ownership as needed.
Production-ready systems with documentation, monitoring, and handoff materials — plus decision-ready artifacts when the engagement is strategy or discovery focused.
Move forward with anomaly detection
Book a conversation — we will scope the engagement or tell you if another path is a better fit.
