The financial
services sector is facing an escalating wave of sophisticated cyber threats,
necessitating a shift from traditional reactive defenses to proactive,
intelligent security frameworks. This paper presents a comprehensive analysis
of AI-driven cybersecurity strategies, with a primary focus on JPMorgan Chase's
(JPMC) global risk mitigation efforts between 2020 and 2025, particularly in
its operations across the U.S., EU, and APAC regions. A comparative component
with leading peers, such as Bank of America, Citigroup, HSBC, and Goldman
Sachs, serves to further substantiate and contextualize JPMC's strategies
within the broader financial services landscape. Employing a qualitative,
comparative case study methodology, substantiated by a systematic literature
review following PRISMA guidelines, this research examines the evolving
landscape of AI applications, emerging threats, and regulatory frameworks. Key
findings reveal that AI is a core strategic pillar for JPMC, yielding
quantifiable impacts, including flat fraud costs despite rising attack volumes
and significant operational efficiencies. The study highlights a pervasive
"AI security debt" across the industry, where rapid AI adoption often
outpaces the development of robust security protocols, underscoring JPMC's
leadership in prioritizing responsible AI governance and supply chain security.
The paper concludes that AI is not merely a technological upgrade but a
strategic imperative for ensuring resilience and trust in the digital financial
ecosystem. It advocates for a unified global approach that integrates
disciplined AI adoption, strong data foundations, comprehensive regulatory
compliance, and adaptive human-machine collaboration, the key elements for
securing the future of global banking.
Read Full Paper: JPMorgan
