We operate one of the largest and most complex global payments networks out there with hundreds of countries and territories, tens of thousands of corridors, massive retail and digital reach, and very different regulatory expectations depending on where a transaction originates and lands. Oscilar is one of the few platforms we’ve seen that’s clearly designed with that level of scale and variability in mind. Having fraud, AML, compliance, rules, and device/behavioral intelligence in a single platform has been a big step forward. It’s helped us simplify what used to be a very fragmented risk stack while improving real-time decisioning across high-volume, latency-sensitive flows. Shadow mode, A/B testing, and automated rule optimization make it much easier to roll out changes safely across geographies without disrupting production. We also like how well Oscilar handles signal ingestion at scale. Being able to combine transaction data, device fingerprinting, behavioral signals, and third-party inputs in real time gives us much better context, especially for cross-border use cases and automated attacks. That richer signal set has helped reduce friction for good users while still maintaining strong controls. The partnership aspect has been solid and a great experience. Oscilar has been flexible about integrating with our preferred vendors and adapting workflows to how a large, global organization actually operates. Support has been responsive and production-oriented, which matters a lot when volumes spike and downtime isn’t an option.

Oscilar has become our central platform for AML transaction monitoring, fraud monitoring, and case management across our Partner Banking program. Before Oscilar, we were trying to integrate into legacy core tooling with limited API functionality, which slowed onboarding and made it difficult to build the segmentation and oversight workflows we needed for fintech programs. Oscilar met us where our data lives and enabled us to move faster by onboarding with a side-core/API-friendly approach, giving us a direct connection to the system rather than relying on middleware or a separate data repository. That flexibility allowed us to structure and tag data cleanly by partner, program, and workflow, and avoid costly customization in legacy systems. The Oscilar team has been exceptional. Responsiveness is consistently strong, questions are answered quickly, issues are addressed fast, and our weekly check-ins lead to real progress. In a regulated environment with tight timelines, that matters. We’ve also benefited from hands-on training, clear guidance on best practices, and the opportunity to participate in UI feedback and beta development that directly improves day-to-day usability for our teams. From a product perspective, the platform is highly configurable. The rules engine is logic-driven and flexible, if the field exists, we can build detection, routing, or workflow logic around it. Testing and QA capabilities have improved significantly over the course of implementation: we can create and modify sandbox test data, import test files, track rule hits, identify errors down to the workflow section/field, and save/download results for historical tracking. Those features have been critical for tuning detection scenarios and preparing for examiner discussions. Operationally, the case workflow feels cohesive from alert → case → SAR, and the system supports our governance requirements (SLAs, scheduling, due dates, audit trails). We have Customer Risk Rating live and are running AML and fraud monitoring for our fintech partners today, with CTR workflows next. The platform also positions us well for real-time decisioning as we expand our bank-side implementation, behavioral signals and real-time decision/webhook functionality are expected to be a major improvement in preventing fraud and reducing losses as we mature our integrations. Overall, the implementation has felt like a true partnership. Oscilar works alongside our bank’s development and compliance teams to meet deadlines, incorporate feedback, and build toward a scalable program that supports both sponsor and embedded models.

It offers me built in solutions to AB teste my antifraud and flexibility to make changes and test new things without having to involve my tech team. It was also very easy to implement, it was simple to connect, and very flexible to our current state.