Major financial organizations encounter more intricate cybersecurity issues that demand advanced automation strategies to tackle changing threat environments while ensuring adherence to regulations. The article offers an extensive reference architecture for automating scalable cybersecurity workflows, tailored specifically for large financial institutions. The suggested architecture utilizes a five-layer model that includes Process Automation, Microservices, Event-Driven Integration, Security and Compliance, and Cloud Infrastructure layers. Every layer tackles unique functional needs while preserving uniform interfaces and a defined separation of roles. Implementation outcomes show considerable operational enhancements, featuring notable decreases in manual incident resolution durations, improved SLA compliance percentages, and faster development timelines for new cybersecurity processes. The architecture effectively combines traditional mainframe systems with modern cloud-native security platforms by utilizing various integration methods, such as Kafka streaming, SOAP connectors, and REST APIs. Performance optimization strategies incorporate both vertical and horizontal scaling approaches, utilizing Kubernetes orchestration for dynamic resource allocation. The platform addresses critical challenges associated with regulatory traceability, audit requirements, and real-time security event processing. Future directions encompass artificial intelligence integration, zero-trust architecture adoption, blockchain-based audit trails, industry standardization initiatives, edge computing capabilities, and autonomous cybersecurity operations evolution. The architectural framework provides financial institutions with proven methodologies for implementing scalable, secure, and compliant cybersecurity workflow automation platforms capable of adapting to changing regulatory and operational demands.
Sapthagiri Padmanabham (Thu,) studied this question.