A fast-growing U.S.-based FinTech organization operated an AI-driven, multi-tenant chatbot providing financial support and guidance to consumers. Because conversational AI interfaces introduce both classic application security challenges and specialized large language model (LLM) risks, the organization required a specialized assessment to ensure malicious actors could not manipulate chatbot logic, bypass safety guardrails, or trigger unauthorized financial workflows.
Accorian delivered comprehensive penetration testing combining traditional web application attack methodologies with state-of-the-art LLM adversarial testing, achieving 100% test coverage across user input vectors, API backends, and contextual prompt handling. Accorian identified 4 key security vulnerabilities—including prompt injection and contextual data extraction vectors—delivering 24-hour turnaround risk reporting that allowed developers to rapidly patch defenses, implement input/output sanitization, and safeguard user financial data.
