Financial Management Frameworks for API Interoperability in Cyber Intelligence Sharing

Abstract

Cyber Intelligence Sharing (CIS) is critical for proactive defense, directly impacting an organization’s financial resilience against escalating cybercrime costs, projected to reach $10.5 trillion. However, seamless integration requires automated Application Programming Interface (API) architectures across heterogeneous systems. This study evaluates the financial management implications and technical bottlenecks of interoperable threat intelligence exchange using the PRISMA framework across IEEE Xplore, Google Scholar, and ScienceDirect (N = 42). Quantitative synthesis reveals that technical and API protocol discrepancies constitute the primary barrier (54.76%), directly driving up operational costs (OpEx) for manual threat analysis. Regulatory and policy constraints account for 28.57%, while unaligned financial risk models and organizational trust frameworks represent 16.67%. By aligning cybersecurity standards (ISO/IEC 27000 and NIST SP 800) with financial risk assessment frameworks, this paper provides a strategic roadmap to optimize cybersecurity Return on Investment (ROI), minimize operational overhead, and mitigate cyber-induced financial losses.