Topic starter
12/07/2026 12:20 pm
TL;DR: Tripster says automated review blocked $14.4 million in fraud while protecting 100% of transaction volume, according to Riskified. Travel checkout controls now have to preserve approval speed while catching risk that CVV and AVS miss.
Editorial analysis by NHI Mgmt Group, based on content published by Riskified: “How Tripster increased bookings while reducing fraud”.
Key questions
Q: How should travel platforms balance fraud prevention with booking conversion?
A: Travel platforms should calibrate verification to the risk of each action rather than applying the same controls everywhere.
Q: What are the signs that manual fraud review is no longer scaling?
A: Common signs include growing review backlogs, inconsistent approval rates, rising staff burden, and more fraud slipping through because analysts cannot inspect every transaction.
Q: Why do CVV and AVS checks fail to stop fraud in travel checkout?
A: CVV and AVS only confirm limited payment details, so they do not tell you whether a booking is behaviourally legitimate.
Practitioner guidance
- Tighten checkout decisioning beyond CVV and AVS Use behavioural, device, and transaction-context signals to score bookings before capture, especially where instant fulfilment limits post-checkout review time.
- Separate approval policy from manual review queues Route borderline transactions through automated risk rules so analysts focus on the cases that need human judgment rather than every suspicious order.
- Measure fraud controls by approval quality, not only block rate Track chargebacks, false positives, and approval rate together so the organisation can see whether the fraud programme is protecting revenue rather than merely increasing friction.
Bottom line: Travel fraud in booking platforms is no longer a manual-review problem alone, because high transaction volumes and instant fulfilment reduce the value of simple checks.
Glossary terms: Checkout Risk Orchestration, Approval Rate, False Positive, Risk-Based Decisioning
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
This topic was modified 4 hours ago by NHI Mgmt Group
12/07/2026 12:33 pm
Automated fraud review is now a checkout governance problem, not just a detection problem. Travel platforms do not fail because they lack any control at all; they fail when the control model cannot keep pace with transaction volume and fulfilment speed. In that setting, basic checks like CVV and AVS become necessary but insufficient. Practitioners should treat checkout decisioning as a risk governance layer that must scale with the business.
A few things that frame the scale:
- Nearly 60% of companies reported that fraud losses were still increasing in 2025.
A question worth separating out:
Q: When should organisations prioritise automated fraud decisioning over manual review?
A: Organisations should prioritise automation when transaction volume is rising faster than review capacity, or when manual queues are causing inconsistent decisions and delayed fulfillment. Manual review still has value for edge cases, but it does not scale well in high-growth channels like travel and mobile commerce. Automation should absorb the routine cases so analysts focus on the highest-risk exceptions.
👉 Read our full editorial: Fraud at checkout in travel platforms demands automated review