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CybersecuritySecurity Education & Training

AI Agents and Holiday Travel: A New Fraud Frontier

By Dan Pinto
Airport baggage check
Phil Mosley via Unsplash
October 17, 2025

Travelers and fraudsters both use AI agents now, creating a challenge for fraud detection teams: How do they tell the difference between a real customer booking their own travel, an automated agent acting on behalf of a user, and an automated malicious agent that is engaging in legitimate user workflows? The problem becomes more complex as fraudsters have already tested these tactics during summer travel and are ready to exploit the busiest travel season of the year: the holidays.

The timing couldn’t be worse: With 84% of consumers tightening budgets amid rising costs and automated traffic now comprising over half of all web activity, travel sites are potentially facing fewer legitimate customers but exponentially more sophisticated threats.

Travel Industry Vulnerabilities Meet AI Sophistication

Travel platforms face unique vulnerabilities that attract fraud operations. Guest checkout systems reduce friction but create anonymity that makes linking suspicious activity across transactions nearly impossible. Seasonal offers, loyalty programs, and flexible cancellation policies provide additional attack vectors that allow fraudsters to harvest points from hacked accounts, create fake accounts to reuse promotional codes, and systematically abuse refund policies.

These conditions, combined with spikes in travel demand, create an environment where AI-driven attacks can scale quickly. AI agents adapt and evolve — each blocked transaction becomes a learning opportunity and every successful attack validates new patterns. Over time, they can master customer workflows so thoroughly that their activity becomes indistinguishable from real travelers navigating the same booking processes.

The impact is staggering: In 2024, 27% of all AI-powered bot attacks targeted travel platforms. High-value transactions, points-harvesting opportunities, and accommodating cancellation policies create a perfect environment for AI-driven fraud operations to scale efficiently. 

Intelligent Defense for the Holiday Rush 

For travel companies, stopping AI-driven fraud requires more than blocking automated traffic. Legitimate users increasingly rely on AI agents to plan and book trips, so a “block all” approach risks damaging the customer experience. Instead, the industry must evolve toward more intelligent fraud detection.

The most effective approaches focus on what malicious agents can’t easily fake: the technical signals generated by users’ software and hardware environments, not just the behaviors they mimic. By combining advanced device intelligence with behavioral analysis, travel sites can gain deeper insights into visitors to differentiate between humans, beneficial agents, and malicious agents to better detect and prevent AI-driven fraud.

As the busiest travel season approaches, travel sites adopting adaptive detection strategies will be better positioned to protect against AI-driven fraud. 

Beyond Peak Travel Seasons: Future-Proofing Fraud Defenses 

The holiday travel season offers a chance to strengthen fraud defenses, but this is just the beginning. AI agents represent a fundamental shift in how legitimate users and malicious actors operate. This will only intensify as agents become more accessible and sophisticated.

Travel platforms must evolve from reactive fraud blocking to proactive management. They need nuanced systems that distinguish between a helpful AI assistant booking a family vacation and a malicious one carrying out fraud. Companies have to build their fraud prevention stack with intelligent detection tools, prevention methods, and streamlined verification processes.

The goal: to ensure smooth, safe traveler experiences while mitigating risk. Those who adapt will thrive; those clinging to legacy detection solutions will find themselves outmatched by fraudsters already operating in the AI era.

KEYWORDS: artificial intelligence (AI) travel cybersecurity travel industry

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Dan Pinto is CEO and Co-Founder of Fingerprint. Image courtesy of Pinto

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