Detect
Public-web and social signals surface impersonation, scam language, and digital-risk patterns before they become incidents.
Loading the latest available evidence and geographic context.
AmanTrace AI detects brand impersonation, deepfake scams, and coordinated fraud across MENA before customers and reputations are harmed.
Illustrative hero view. Production signals remain source-linked and analyst-reviewed.
Scams move fast.
AmanTrace makes change visible earlier: where impersonation appears, how it connects, how quickly it moves, and which evidence supports the signal.
Country context, connected entities, source signals, and time buckets sit together so analysts can see what is changing before a digital-risk signal becomes an incident.

The Atlas keeps sequence and geography in view, helping analysts spot a connected risk pattern before it becomes a customer-impacting incident.
Every signal carries source, processing, and evidence context so teams can decide what deserves attention next.
AI-assisted analysis works alongside deterministic rules, statistics, and evidence-linked workflows. The result is intelligence an analyst can inspect, challenge, and use.
Monitor brands, executives, products, domains, and campaign assets across public digital channels.
Entity-aware by designRead Arabic, dialect-rich, multilingual, and mixed-language signals with regional context in view.
Built for MENAMove beyond isolated alerts with connected accounts, domains, assets, countries, and spread over time.
Geospatial and temporalReview evidence, preserve provenance, prepare escalation, and move from signal to coordinated response.
Explainable risk signals