Risk signals that actually arrive in time
RedFlag monitors user behaviour, transaction patterns, and third-party signals in real time — so your team catches threats before they become incidents.
2.4B
Events processed daily
340ms
Median detection latency
99.97%
Uptime SLA
180+
Enterprise customers
What we do
Built for teams that can't afford surprises
RedFlag sits between your data and your decisions, turning noisy event streams into precise, explainable alerts.
Sub-second alerting
Streaming ML models evaluate every event as it happens. No batch jobs, no nightly runs — just immediate signals.
Explainable decisions
Every alert ships with a plain-language rationale and the top contributing factors, so analysts can act fast and audit confidently.
One API, any stack
REST and webhook interfaces, SDKs for Node, Python, Go, and Java. Integrates in an afternoon, not a quarter.
Global threat network
Signals from across the RedFlag customer base — anonymised and aggregated — mean your models benefit from threats seen elsewhere first.
Privacy by design
SOC 2 Type II, ISO 27001. Data residency options for EU and APAC. Your customer data never trains shared models without opt-in.
Built-in observability
Live dashboards, historical replay, and anomaly playbooks — so you can tune thresholds and understand model behaviour over time.
Join the team
We're hiring senior engineers
Hard problems, small team, no bureaucracy.