Customer Stories

Real teams. Real outcomes.

Case studies from banks, fintechs and insurers using SecureCodingHub to reduce recurring vulnerabilities and standardize developer security practice. Company names are anonymized at customer request — reference calls available on approval.

Financial Technology

Global FinTech Company

1,300 Employees·340 Developers
42%
reduction in recurring findings
The challenge

Rapid company growth resulted in inconsistent secure coding knowledge across engineering teams. The AppSec team also needed a centralized platform to demonstrate developer security training during compliance audits.

What we did

The organization deployed SecureCodingHub to deliver role-based secure coding training covering:

  • OWASP Top 10
  • API Security
  • Authentication
  • Secure SDLC
  • AI-Assisted Secure Development

Training was integrated with SSO and the existing LMS.

Outcomes
  • 96% developer participation
  • Up to 42% reduction in recurring secure coding findings during internal security reviews
  • Standardized developer onboarding across engineering teams
  • Centralized compliance reporting for SOC 2 and ISO 27001 audits
  • Increased collaboration between Development and AppSec teams
Payment Services

Digital Payments Provider

720 Employees·210 Developers
3 mo
to org-wide AI security baseline
The challenge

Engineering teams were adopting AI coding assistants rapidly without consistent guidance on secure prompting or LLM security risks.

What we did

SecureCodingHub introduced dedicated learning paths covering:

  • OWASP LLM Top 10
  • Prompt Injection
  • Agentic AI Security
  • Secure AI-Assisted Development
Outcomes
  • Organization-wide AI security awareness established within three months
  • Developers adopted standardized prompting practices for internal AI assistants
  • More effective prompt design reduced unnecessary iterative requests in agent workflows
  • Lower average token consumption during repetitive engineering tasks through improved prompt quality
  • Security team established AI usage guidelines across development teams
Commercial Banking

Regional Commercial Bank

3,900 Employees·560 Developers
38%
reduction in repeated findings
The challenge

Multiple development teams followed different secure coding practices, making audit preparation difficult and increasing remediation effort.

What we did

SecureCodingHub became the organization's centralized developer security platform with customized learning paths for Java, .NET and JavaScript teams.

Outcomes
  • Up to 38% reduction in repeated application security findings
  • Faster remediation cycles due to improved developer awareness
  • 100% centralized training records for compliance reporting
  • Reduced manual audit preparation effort
  • Consistent secure coding standards across engineering departments
Retail Banking

International Retail Bank

8,400 Employees·1,250 Developers
AI-ready
enterprise security baseline
The challenge

The bank planned to roll out AI-assisted software development while ensuring developers understood emerging AI security risks.

What we did

SecureCodingHub delivered a structured AI security curriculum alongside traditional secure coding training.

Outcomes
  • Enterprise-wide AI security baseline established
  • Improved developer confidence when using AI coding assistants
  • Reduced security review effort for AI-generated code through better secure prompting practices
  • Increased adoption of secure AI development standards
  • Executive reporting for AI security readiness
Insurance

International Insurance Group

4,600 Employees·480 Developers
47%
reduction in OWASP findings
The challenge

The organization wanted to reduce recurring vulnerabilities while improving developer engagement with security training.

What we did

Developers completed personalized learning paths with hands-on labs, secure coding exercises and AI-assisted development modules.

Outcomes
  • Up to 47% reduction in recurring OWASP Top 10 findings observed during internal assessments
  • Higher voluntary participation in advanced security labs
  • Reduced onboarding time for newly hired developers
  • Improved collaboration between Security, Compliance and Engineering
  • Better visibility into organization-wide secure coding maturity
How we measure

Metrics reflect customer-reported findings from internal application security reviews conducted 6–12 months after deploying SecureCodingHub. Individual results depend on baseline maturity, program scope, and integration depth.

Need the named version?

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