Case Study: Leading Neobank achieves end-to-end API security and prevents data exfiltration with Traceable AI

Neobank Partners with Traceable to Achieve End-to-End API Security

Leading Neobank, a global FinTech provider operating under strict compliance and regulatory requirements, needed to bake API security into its product from day one without diverting limited engineering resources to build and maintain in‑house tooling. Facing sensitive customer data, a Python/Django stack and complex ingress layers, the team selected Traceable AI’s API Security platform to provide built‑in, context‑aware protection and behavioral analytics that fit their infrastructure and operational constraints.

Traceable AI deployed its API Security platform to discover and map the bank’s APIs, uncovering 770+ endpoints and handling ~2 million calls/day, detecting ~300 suspicious events in one week and finding and securing ~2,000 API vulnerabilities. The platform’s context‑aware detection enabled the team to immediately block attempted data exfiltration, automate rate‑limiting and rules that would have required custom code, speed remediation (e.g., Log4J fixes), and free up engineering time by delivering actionable insights from the Traceable AI dashboard.