From smarter search results to personalised itineraries and frictionless payments, AI is reshaping the travel industry. But as platforms become more intelligent, they also become a prime target for cybercriminals. In this Q&A with TRAVTALK, Yasir Naveed Riaz, Cybersecurity Specialist, www.hostingmatchup.com, explains how AI-powered travel apps can stay secure.
TT Bureau
Travel apps are becoming smarter with AI. Does that increase security risk?
Artificial Intelligence (AI)has made travel apps more personalised and intuitive but with intelligence comes complexity. Every AI-driven feature introduces new entry points for attackers. For example: AI chatbots can be manipulated, APIs powering search engines can be misused, payment systems become more interconnected, and recommendation engines can be exploited. AI is beneficial, but without comprehensive security, it also makes the travel ecosystem more vulnerable.
What are the common vulnerabilities in AI-powered travel apps?
Travel applications face a unique threat landscape: Exposed or weak API keys: a single leaked key can compromise booking systems; AI prompt manipulation: attackers can trick chatbots or support tools into revealing internal logic; online payment interception: insecure payment flows can expose card details; cloud misconfigurations: multi-region set-ups create higher attack surfaces; and fraud and bot attacks: travel deals attract automated attacks targeting discounts, booking slots, and loyalty miles. The combination of AI + payments + personal data makes travel platforms extremely high-value targets.
What are the payment safeguards for users?
Experts focus specifically on building cybersecurity and Zero-Trust models that safeguard AI-enabled payment infrastructures.
What practical steps can make AI apps ‘hack-resistant’?
Here are the five most essential layers of defence:
Layer 1: Zero-Trust access for all payment and booking functions; every login, modification, or refund request must be verified; and no automatic trust for anyone.
Layer 2: Validate all inputs — especially in AI chatbots; unsanitised inputs allow attackers to manipulate AI behaviour.
Layer 3: Protect the entire payment pipeline; use tokenisation, encryption, fraud scoring, and PCI-compliant flows.
Layer 4: Harden the cloud environment; secure the infrastructure running the AI models —API gateways, segmentation, role-based access, and log monitoring.
Layer 5: Real-time monitoring and automated alerts; fraud spikes especially during holidays or peak travel seasons; continuous monitoring is critical.
