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Comprehensive Automated Cybersecurity Ecosystem for Financial Institutions
  1. case
  2. Comprehensive Automated Cybersecurity Ecosystem for Financial Institutions

Comprehensive Automated Cybersecurity Ecosystem for Financial Institutions

yalantis
Financial services
Information technology

Identified Challenges in Secure Financial Application Development

The client faces challenges with existing web and mobile banking applications that are unstable under high transaction loads and vulnerable to external cyberattacks. These vulnerabilities threaten customer data security and operational continuity, necessitating a secure software development process that minimizes security vulnerabilities, prevents data breaches, and reduces post-deployment security remediation costs.

About the Client

A midsize, nationally recognized banking institution seeking to enhance security through automation while expanding online financial services.

Goals for Implementing an Automated Cybersecurity Solution

  • Develop a secure software development lifecycle (SDLC) integrating automated security controls.
  • Implement an automated cybersecurity ecosystem capable of detecting, managing, and eliminating software security vulnerabilities.
  • Ensure early detection of vulnerabilities through integrated security testing (SAST, DAST, Infrastructure as Code security scanning).
  • Automate vulnerability management processes, including ticket creation and notification workflows.
  • Integrate security controls seamlessly into the existing CI/CD pipeline to reduce vulnerabilities in production releases.
  • Achieve scalable, customizable security automation adaptable to diverse projects and future growth.

Core Functional Specifications for the Security Ecosystem

  • Automated security testing modules including Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Infrastructure as Code (IaC) security scanning.
  • Vulnerability orchestration and management system capable of automatically creating and updating tickets in a project-tracking platform with detailed vulnerability descriptions, threat levels, and tags.
  • Integration of security controls into the CI/CD pipeline to detect vulnerabilities during code integration and pre-deployment stages.
  • Secure storage and processing of scan results using cloud storage solutions with versioning and project segmentation.
  • Automated notification system via collaboration tools (e.g., Slack) to alert teams of newly identified vulnerabilities and their severity.
  • Support for security audits including cloud infrastructure security, container orchestration (e.g., Kubernetes), and environment-specific assessments.

Preferred Technologies and Architectural Approaches

Cloud-based security control modules (e.g., serverless functions on AWS Lambda)
Cloud storage solutions (e.g., AWS S3 buckets) for artifact management
Automated vulnerability orchestration and ticketing integration tools
Integration of security testing tools compatible with CI/CD pipelines

Essential External System Integrations

  • Project management and issue tracking platforms for automated ticket creation
  • Collaboration tools for real-time notifications (e.g., Slack)
  • Cloud infrastructure environments and container orchestration platforms for security audits
  • Code repositories and build systems for seamless security testing integration

Non-Functional System Requirements for Security Ecosystem

  • Scalability to support increasing transaction volumes and additional security testing modules
  • High performance with minimal impact on CI/CD pipeline duration
  • Robust security and data privacy compliance for storage and processing of vulnerability information
  • Availability and reliability with automated failure handling for critical security operations

Expected Business Benefits of the Security Automation Initiative

By deploying an automated cybersecurity ecosystem integrated into the development pipeline, the client aims to significantly reduce security vulnerabilities in software releases, enhance protection of customer data, and lower post-deployment security remediation costs. This approach will improve application stability under high loads, increase trustworthiness of digital banking services, and facilitate scalable growth in the client’s online offerings.

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