Airline Fraud Prevention | Demo
Real-Time Fraud Prevention for Airlines. From Search to Check-In.
Real-Time Fraud Prevention for Airlines. From Search to Check-In.
Multi-account fraud, loyalty abuse, ATO attacks, and ghost broking - see how each one works and how to stop it.
4 Demos | 4 Fraud Scenerios
Each demo walks through an end-to-end attack scenario, how fraudsters operate, which signals surface, and how to shut it down. Enter your work email below each video to watch.
Multi-Account Creation
Loyalty Fraud
Account Takeover (ATO) Attacks
Ghost Broking
Multi-Account Creation
Fraudsters and scalpers spin up hundreds of synthetic or stolen-identity accounts to exploit new-user promotions, hold inventory without payment, and circumvent velocity limits. This demo shows how behavioral signals, device fingerprinting, and network clustering surface coordinated account farms, often within the first session.
Multi-account creation
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Loyalty Fraud
Airline loyalty programs are high-value targets. Attackers earn, steal, and resell miles through credential stuffing, collusive earning schemes, and fraudulent redemptions. This demo covers the full lifecycle of a loyalty fraud attack, from point farming through to grey-market resale, and shows the detection layer that stops redemption before value leaves the program.
Loyalty Fraud
Enter your work email below each video to watch this demo on airline loyalty fraud and how the Darwinium platform prevents it.
Account Takeover (ATO) Attacks
ATO is among the fastest-moving threats in airline fraud. Attackers use credential stuffing, phishing, and SIM-swap tactics to hijack passenger accounts, rebook itineraries, and drain stored payment methods. This demo shows how real-time session analysis, behavioural biometrics, and risk-based step-up authentication work together to block takeovers with minimal friction for legitimate travellers.
Account Takeover (ATO) Attacks
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Ghost Broking
Ghost brokers purchase real tickets under false or stolen identities, resell them at a markup, then cancel or chargeback, leaving passengers stranded and airlines absorbing the loss. This demo traces a ghost-broking operation from initial booking to chargeback, illustrating how purchase-pattern analysis, identity-verification linkage, and chargeback-velocity controls expose brokers before they scale.
Ghost Broking
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AI Has Quietly Rewritten the Rules
This isn’t experimentation at the edges. It’s mainstream, industrialised fraud.
And travel, it’s a prime target.
97%
Of organisations report an increase in AI-facilitated attacks
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75%
Say over a quarter of fraud attempts are now AI-assisted
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93%
have encountered deepfake fraud
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Let’s Discuss Your Airline Fraud Strategy
Connect with our fraud experts to discuss your current challenges, ask questions about the demos, and see how Darwinium fits into your environment.
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