From raw event to actionable alert in under a second

Ingest

Your system sends events to the RedFlag API — user actions, transactions, authentication events, whatever matters for your risk surface. Batches or real-time, REST or webhook.

Enrich

Every event is enriched with context from our global threat network — IP reputation, device fingerprints, known bad actor patterns — before a single model runs.

Score

A cascade of streaming ML models evaluates the enriched event in parallel. Each model has a specific job: velocity checks, behavioural anomalies, graph-based fraud rings.

Explain

The final risk score is packaged with a plain-language rationale and the top contributing signals — so analysts don't just know what to do, they know why.

Act

The response lands back in your system via API, or fires a webhook to your SIEM, case management tool, or Slack. You define the threshold — we deliver the signal.