How we helped Bunq secure their financial AI assistant
Summary
Blue41 reports a vulnerability in financial AI assistants where a tiny bank transfer can inject malicious prompts into the AI's context, turning a trusted channel into a phishing vector. The case study analyzes indirect prompt injection, its risk in banking data contexts, and recommends a layered security approach including data minimization, data-as-data handling, output constraints, and runtime monitoring. It emphasizes that AI deployments in finance require production-grade trust boundaries and continuous security monitoring.