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

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Automated Cybersecurity Ecosystem Implementation for Financial Institutions

yalantis
Financial services

Security Vulnerabilities and Compliance Risks

First National Bank is experiencing increasing vulnerabilities in its web and mobile banking applications, stemming from a technically unstable legacy infrastructure and a growing attack surface. These vulnerabilities pose significant risks to customer data, financial assets, and regulatory compliance. The current manual security processes are insufficient to keep pace with the evolving threat landscape, resulting in delays and increased costs associated with addressing security breaches.

About the Client

A large, traditional US-based bank expanding its online and mobile banking services, facing increasing cybersecurity risks due to evolving technological landscapes and growing transaction volumes.

Enhance Security Posture and Operational Efficiency

  • Establish a robust and automated cybersecurity ecosystem to proactively identify and remediate software vulnerabilities.
  • Reduce the number of security vulnerabilities in newly developed and existing applications.
  • Prevent data breaches and cyberattacks through continuous security monitoring and automated response.
  • Improve the efficiency of the software development lifecycle (SDLC) by integrating security controls.
  • Reduce post-release expenses related to security incident response and remediation.

Core System Functionality

  • Automated SAST, DAST, IaC, and vulnerability scanning.
  • Vulnerability orchestration and management via a centralized dashboard.
  • Automated creation of Jira tickets with detailed vulnerability information.
  • Integration with CI/CD pipelines for continuous security checks.
  • Real-time notifications via Slack for newly identified vulnerabilities and their severity.
  • Secure storage and processing of scan artifacts (e.g., in AWS S3).
  • Support for secrets detection (keys, passwords, tokens, SSNs).
  • Dependency scanning and Docker image vulnerability analysis.

Technology Stack

AWS Lambda
AWS S3
Jira
Slack
CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps)
SAST tools (e.g., SonarQube, Checkmarx)
DAST tools (e.g., OWASP ZAP, Burp Suite)

System Integrations

  • Existing CI/CD pipeline
  • Jira instance
  • Slack workspace
  • Source code repositories (e.g., Git)

Non-Functional Requirements

  • Scalability to handle increasing application development volume.
  • High availability and reliability.
  • Strong security to protect sensitive data (e.g., secrets).
  • Performance to minimize impact on development workflows.
  • Ease of customization to adapt to evolving security requirements.

Business and Operational Benefits

Successful implementation of this automated cybersecurity ecosystem will significantly enhance First National Bank's security posture, reduce the risk of data breaches and cyberattacks, improve operational efficiency, and decrease costs associated with security incident response. The solution will enable faster release cycles with greater confidence in the security of the software, ultimately strengthening customer trust and protecting the bank's reputation.

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