Transaction fraud detection
Detects card, ACH, wire, RTP, check, and account fraud from behavioral anomalies.
Account takeover detection
Identifies login, device, geolocation, and behavior patterns indicating takeover.
Synthetic identity detection
Finds identity fabrications through network, document, and credit data signals.
Mule network detection
Uses graph analytics to identify money mule networks and pass-through accounts.
AML alert triage
Prioritizes alerts likely to warrant investigation and reduces false positives.
Suspicious activity report drafting
Drafts SAR narratives from investigator notes and transaction patterns.
Sanctions screening tuning
Improves sanctions match logic and reduces false positives.
Name/entity resolution
Resolves customer, vendor, counterparty, and beneficial owner names across systems.
KYC document extraction
Extracts and verifies identity, ownership, and beneficial owner documents.
Adverse media screening
Summarizes negative news and maps it to customer risk profiles.
Trade finance fraud detection
Detects duplicate invoices, phantom shipments, and abnormal trade documentation.
Business email compromise detection
Flags payment redirection or invoice changes inconsistent with normal patterns.
Deepfake voice detection
Detects synthetic voice in call-center or high-risk transaction verification.
Phishing scam detection
Detects AI-generated phishing, impostor sites, and social-engineering patterns.
Insider threat monitoring
Detects unusual employee access, data movement, or transaction behavior.
Crypto transaction monitoring
Analyzes blockchain flows, mixers, risky wallets, and typologies.
Fraud case summarization
Summarizes evidence, recommended actions, and next steps for investigators.
Chargeback dispute automation
Classifies disputes, collects evidence, and drafts representment packages.
Document forgery detection
Detects altered PDFs, images, bank statements, or IDs.
Network-level fraud intelligence
Connects accounts, devices, merchants, IPs, phones, and counterparties.