Security Barriers to Trustworthy AI-Driven Cyber Threat Intelligence in Finance: Evidence from Practitioners
Abstract
Financial institutions face increasing cyber risk while operating under strict regulatory oversight. To manage this risk, they rely heavily on Cyber Threat Intelligence (CTI) to inform detection, response, and strategic security decisions. Artificial intelligence (AI) is widely suggested as a means to strengthen CTI. However, evidence of trustworthy production use in finance remains limited. Adoption depends not only on predictive performance, but also on governance, integration into security workflows and analyst trust. Thus, we examine how AI is used for CTI in practice within financial institutions and what barriers prevent trustworthy deployment.
Fields of Study & Subjects
Information and Cyber Security
AI in Service Interactions
Big Data and Business Intelligence
Publication details
- Journal / source
- Proceedings of the Sixteenth ACM Conference on Data and Application Security and Privacy
- Publisher
- ACM
- Pages
- 297–308
- Publication date
- 12 June 2026