Cloud Security 2024 Fortune 500 Financial Institution

CWPP and CNAPP Model for Cloud-Native Protection

Design and implementation of cloud-native workload protection (CWPP) and cloud-native application protection platform (CNAPP) security model for leading financial institution.

Category

Cloud Security

Year

2024

Team size

6 people

Timeline

12 months

project.preview
Cloud-native workload protection dashboard with security metrics

Challenge

Migration to cloud-native architectures (containers, Kubernetes, serverless) exposed new attack vectors not covered by traditional security tools. The institution operated 2,400+ containers in production without runtime vulnerability visibility or software supply chain protection.

Solution

Implementation of unified CNAPP platform with CWPP, CSPM and integrated pipeline security capabilities. Shift-left model with CI/CD vulnerability scanning, runtime protection and continuous compliance for containerized and serverless workloads.

Secure Cloud-Native Transformation

The New Security Paradigm

Cloud-native architectures require a fundamentally different security approach. Traditional perimeters disappear, workloads are ephemeral and deployment velocity exceeds manual security process capacity.

Initial State

Workload Inventory:

  • 2,400+ containers in production
  • 47 Kubernetes clusters (AKS, GKE, OKE)
  • 340+ serverless functions
  • 890+ unique container images

Identified Security Gaps:

  • No visibility into base image vulnerabilities
  • Unaudited Kubernetes configurations
  • Hardcoded secrets in configurations
  • No runtime protection
  • CI/CD pipeline without security gates

CNAPP Architecture Implemented

Shift-Left Security

Integrated Security Pipeline:

# Security Gates in CI/CD
stages:
  - name: "SAST Analysis"
    tools: [Semgrep, SonarQube]
    fail_on: critical, high

  - name: "SCA Scan"
    tools: [Snyk, Dependabot]
    fail_on: critical
    sbom_generation: true

  - name: "Container Scan"
    tools: [Trivy, Prisma Cloud]
    fail_on: critical, high
    base_image_check: true

  - name: "IaC Security"
    tools: [Checkov, tfsec]
    fail_on: high

  - name: "Secrets Detection"
    tools: [GitLeaks, TruffleHog]
    fail_on: any

Shift-Left Results:

  • 94% of vulnerabilities detected pre-production
  • 78% reduction in remediation time
  • 0 secrets exposed in production

Results and Metrics

Security Posture Improvement

MetricBeforeAfter
Critical Vulnerabilities2343
Unscanned Images67%0%
Non-compliant Clusters89%0%
Exposed Secrets470
Mean Time to Patch14 days4 hours

This project demonstrated that cloud-native security doesn’t have to slow innovation. With the right approach, security becomes an enabler that allows faster and more confident deployments.

Results

  • 100% coverage of cloud-native workloads
  • 89% reduction in critical vulnerabilities in production
  • CVE remediation time: 4 hours (vs 14 days previous)
  • 0 security incidents in containers post-implementation
  • Continuous compliance with CIS Kubernetes Benchmark

Technologies

🔧 Defender for Cloud
🔧 Prisma Cloud
🔧 Kubernetes
🐳 Docker
🔧 Terraform
🔧 GitOps

Project Information

Category Cloud Security
Year 2024
Client Fortune 500 Financial Institution
Timeline 12 months
Team size 6 people