Ten agent workflows for the Fraud team — automated phishing domain detection, account takeover prevention, synthetic identity detection, merchant fraud intelligence, card fraud network mapping, social engineering site monitoring, application fraud screening, first-party fraud detection, refund abuse intelligence, and fraud ring identification — providing comprehensive domain-level fraud signals.
AI agent monitors newly registered domains for phishing indicators targeting the bank and its customers — detecting brand impersonation, lookalike domains, credential harvesting pages, and social engineering infrastructure before attacks launch.
AI agent detects account takeover infrastructure by monitoring dark web marketplace domains, credential dump sites, and social engineering toolkits that target banking customers, enabling proactive account protection.
AI agent identifies synthetic identities by cross-referencing application data with web presence indicators — detecting fabricated business entities, non-existent employers, and artificially constructed digital footprints used to establish fraudulent accounts.
AI agent monitors merchant websites to detect fraud indicators — bust-out schemes, phantom merchants, card-testing storefronts, and laundering operations disguised as legitimate e-commerce businesses.
AI agent maps card fraud networks by analyzing merchant domains, payment processor connections, and transaction patterns to identify organized fraud rings operating across multiple compromised or colluding merchant accounts.
AI agent detects social engineering infrastructure targeting bank customers — fake customer support sites, impersonation pages, tech support scam domains, and vishing operation web presences that facilitate voice and digital social engineering attacks.
AI agent screens loan and account applications for fraud by verifying employer claims, business existence, address legitimacy, and income source indicators through web presence analysis of entities referenced in applications.
AI agent identifies first-party fraud by monitoring borrower web activities post-origination — detecting asset concealment, lifestyle inconsistencies, undisclosed businesses, and false hardship claims that indicate intentional fraud versus genuine financial distress.
AI agent detects refund abuse and friendly fraud by monitoring merchant dispute patterns, customer-linked web activities, and organized refund fraud communities that coordinate chargeback abuse against banking customers and merchants.
AI agent identifies organized fraud rings by analyzing shared web infrastructure, coordinated domain registration patterns, common registration details, and network connections between apparently independent fraudulent entities.
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