Fingerprint Releases New Analysis on Travel and Hospitality Fraud as Loyalty Abuse Accelerates

CHICAGO--(BUSINESS WIRE)--Fingerprint, a leader in device intelligence, released new insights into the fraud landscape impacting travel and hospitality platforms. Industry data shows these organizations lose an average of $11 million annually to fraud as attackers exploit links between identity, loyalty points, and payments.

To combat this, Fingerprint’s analysis argues for a shift to session-level trust, which identifies risk early and continuously across customer journeys. Because these systems are interlinked, a single compromise creates a domino effect, from stolen loyalty credentials to fraudulent bookings. Session-level trust evaluates device signals continuously and in real time, halting attacks before value is extracted.

Key insights include:

• Loyalty Exploitation: Rewards fraud totals $1 billion to $3 billion in annual global losses. As platforms unify identity, loyalty balances become easier to target.
• Account Takeover (ATO): 52% of loyalty fraud incidents begin with ATO, enabling attackers to drain balances or change account details.
• Chargebacks as Lagging Indicators: Hospitality chargebacks are increasing 30% year-over-year, signaling where fraud lands, not where it starts.

Fingerprint’s report demonstrates that by shifting to session-level trust, fraud teams can identify risk early. This allows platforms to evaluate risk continuously during a session and intervene the moment suspicious activity is detected, protecting revenue without sacrificing frictionless user experience.

Click here to view the full report.

FAQ

Why is fraud increasing in travel and hospitality?

Seamless booking, unified identity, and automation have expanded the attack surface, allowing fraud to spread undetected.

Why are loyalty points a target for fraud?

Points function as “soft currency” and often lack real-time monitoring.

What is session-level trust?

A continuous fraud prevention approach that evaluates device and behavior signals throughout an entire user session.

About Fingerprint

Fingerprint detects the intent of human and agentic visitors. Our device intelligence platform identifies over 1 billion unique devices every month and processes hundreds of signals to help fraud teams distinguish trusted visitors from bad actors at speed and scale. Over 6,000 companies, including innovators like Dropbox, checkout.com and NeuroID, use Fingerprint every day to recognize high-risk activity in real time, prevent fraud attacks and deliver frictionless user experiences. Learn more at fingerprint.com.