Atom Tickets Reinvents the Moviegoing Experience with Identity Trust

Atom Tickets is a digital movie ticketing platform and an award winning technology company based in Santa Monica, California. The company has changed the way people go to the movies with a social movie ticketing app and website that reimagines the moviegoing experience by making it easy to discover films, plan with friends, and buy movie tickets in just a few taps. The platform allows users to watch trailers, invite friends, pre-order concessions, and skip lines using QR-based check-in and express concession lanes—redefining convenience and making moviegoing more social and seamless. 

Atom is live on over 25,000+ screens across North America, including AMC, Regal, Cinemark, Alamo Drafthouse, Landmark and more. Atom’s user-friendly and socially driven interface allows movie lovers to search for films instantly, watch trailers, invite friends, buy tickets, pre-order concessions and enjoy a VIP experience at the theater.

Atom evaluated several solution providers across key criteria: real-time scoring accuracy, ease of integration, transparent decisioning, adaptability to complex ticketing flows, and proven industry experience. Sift stood out for its AI performance, on-demand flexibility across the digital experience, and its unique approach of putting user identity at the core of fraud prevention. Atom conducted proof-of-concepts, reviewed model explainability, and worked cross-functionally with operations and product teams to ensure Sift’s alignment and long-term fit.

Atom Tickets faced fraud threats throughout its digital journey, with checkout emerging as the leading source of losses—from fraudulent bulk ticket purchases to suspicious payment activity and high-risk transactions. Sift’s payment fraud prevention solution quickly identified and blocked these attacks using a multi-layered AI risk model informed by global, industry-specific, and app-level behavior patterns.

Atom Ticket’s evolving offerings, including loyalty programs, put its customers at higher risk for account takeovers. To prevent this, Atom Tickets also proactively implemented Sift’s account takeover solution to proactively detect and stop ATO attempts, flagging suspicious device logins or credential stuffing, and automatically triggering two-factor authentication where needed.

The implementation process was simple and efficient. Sift’s APIs were straightforward, and the platform’s user interface enabled both technical and non-technical team members to simulate and test fraud rules before putting them into production. Atom adopted a phased rollout, starting with passive scoring before gradually enforcing policies. This approach gave their fraud, product, and engineering teams full visibility and control, allowing them to measure real-time impact and fine-tune policies with confidence. The solutions scaled alongside volume changes and were easily configured using Sift’s centralized platform. 

Since implementing Sift, Atom Tickets has achieved significant, lasting gains in both fraud prevention and operational efficiency. Fraud-related chargebacks decreased by 40%, and total chargebacks now remain under 1%—even during the most fraud-prone promotional windows. Atom benefited from highly targeted friction, reducing false positives by 25%, thanks to Sift’s dynamic scoring models. They also reduced manual review time by over 60%, freeing fraud teams to focus on more complex investigations and long-term strategy.

The impact on account security has been equally substantial. Account takeover incidents dropped from 800-1,000 per month during peak times to virtually zero—resulting in fewer support tickets, faster resolution workflows, and restored peace of mind for trusted customers. Atom’s support team has reported noticeably fewer customer complaints about unauthorized access or payments, reflected in improved App Store reviews and higher NPS scores.

With Sift’s adaptive risk monitoring, Atom uncovered coordinated fraud rings attempting to exploit short-lived promotional campaigns. The team now proactively models and enforces risk policies for key periods—like holiday weekends or T-Mobile’s $5 ticket days—ensuring strong protection without delays or customer friction.

During major promotional events tied to blockbuster releases, Atom estimates a reduction in chargeback losses of $50K–$60K per month. Despite serving thousands of login requests per second, Sift’s solution scaled effortlessly, adding critical layers of fraud defense without compromising speed or user experience.