Block fraud before it lands on the statement.
Fraud lands when prevention is reactive. Fraud Prevention runs ahead of fraud events: fake apps detected and removed before customers download them, payment credentials surfaced before card-on-file fraud lands, fraudulent infrastructure caught before customer credentials get redirected.
Detection ahead of fraud loss.
Fraud-prevention teams, payment-operations teams, and identity-protection teams run this workflow. The question they answer: what fraudulent infrastructure is targeting our customers right now, and how do we stop it before the fraud lands? Pre-Deepinfo, the answer typically arrives via incident-response after fraud events. Post-Deepinfo, fraud indicators surface continuously across multiple detection layers.
Coverage includes fraudulent mobile apps, payment-credential exposure across BIN ranges, customer-credential dumps in breach corpora, fake support and refund channels in search results, and lookalike domains that route customer business to scammers. Each detection layer ties to a specific fraud pattern.
Outcomes: fraud loss reduced because detection arrives before fraud execution; card-on-file fraud blocked at authorization; customer-trust damage from fraudulent channels minimized through faster takedown.
Five fraud-detection layers, one prevention pipeline.
App Store Monitoring for fake apps. Compromised Payment Credential Monitoring for card data. Compromised Client Credential Monitoring for customer credentials. Fraudulent Domain Monitoring for lookalike domains. Search Engine Monitoring for sponsored-result fraud.
App Store Monitoring.
Continuous survey of major app stores for fake apps using your brand identifiers. Multi-attribute matching catches apps designed to capture credentials or payment data.
Compromised Payment Credential Monitoring.
Card data tied to your BIN ranges or customer card-on-file footprint surfaced from POS-compromise dumps, e-commerce skimming, and payment-credential markets.
Compromised Client Credential Monitoring.
Customer-facing credential exposure from breach corpora, infostealer dumps, and credential-stuffing lists. Routes to fraud-prevention workflows for proactive ATO blocking.
Fraudulent Domain + Search Monitoring.
Lookalike domains and search-result poisoning targeting customer-service searches and refund flows. Caught continuously and routed to Managed Takedown.
Customers running fraud prevention at retail and financial scale.
An e-commerce platform
Brand defense, customer credential monitoring, and payment-credential exposure tracking across 25M+ customers.
Read the storyA major Türkiye-based bank
Customer credential and payment-fraud protection alongside continuous vendor risk management.
Read the storyA regional aviation operator
Loyalty-credential exposure and booking-site impersonation defense around peak travel periods.
Read the story“Fraud lands when prevention is reactive. Catching fake apps before customers download them, payment credentials before fraud lands on the statement, lookalike domains before phishing goes live: the prevention runs ahead now.”
Related use cases.
Catch fake brands before customers do.
Brand impersonation runs continuously across domains, social accounts, mobile apps, and search results.
See use case USE CASECatch phishing infrastructure at the registration stage.
Phishing campaigns start with a domain registration.
See use case USE CASERemove fraudulent domains, fake apps, and impersonation accounts with expert-backed enforcement.
A fraudulent domain detected and not removed continues hosting phishing pages.
See use caseSee fraud-targeting infrastructure against your customers.
Book a demo. We'll scope detection to your fraud surfaces and walk through routing to your fraud-prevention systems.