DevSecOps Scenarios

Scenario: Full Lifecycle DevSecOps Implementation

1. Planning & Code Development

• Tools: Jira, GitHub Copilot

• Security Practice: Secure coding guidelines

• Description: Developers use Jira for task tracking, ensuring security requirements are included from the start. GitHub Copilot assists in writing secure code by suggesting best practices.

2. Source Code Repository

• Tools: GitHub, GitGuardian

• Security Practice: Secret scanning and code security

• Command/Code:

# GitGuardian pre-receive hook
gitguardian pre-receive

• Description: Code is committed to GitHub, where GitGuardian scans for secrets and sensitive data.

3. Continuous Integration

• Tools: Jenkins, SonarQube, Snyk

• Security Practice: SAST and dependency scanning

• Command/Code:

// Jenkinsfile for SAST with SonarQube and Snyk
pipeline {
  agent any
  stages {
    stage('SAST') {
      steps {
        script {
          sh 'sonar-scanner ...'
          sh 'snyk test'
        }
      }
    }
  }
}

• Description: Jenkins integrates with SonarQube for static analysis and Snyk for vulnerability scanning in dependencies.

4. Continuous Deployment

• Tools: Ansible, HashiCorp Vault

• Security Practice: Secure deployment and secrets management

• Command/Code:

# Ansible playbook using HashiCorp Vault for secrets
- hosts: all
  vars:
    db_password: "{{ lookup('hashi_vault', 'secret=myapp/data/db password=my_vault_password') }}"
  tasks:
    - name: Deploy application
      ansible.builtin.git:
        repo: 'https://github.com/myrepo/myapp.git'
        dest: '/var/www/myapp'

• Description: Ansible automates deployment, with HashiCorp Vault managing secrets securely.

5. Infrastructure Management

• Tools: Terraform, Checkov

• Security Practice: Infrastructure as Code security

• Command/Code:

# Terraform script for secure AWS setup
resource "aws_instance" "example" {
  ami = "ami-123456"
  instance_type = "t2.micro"
  # Security group, roles, etc.
}

# Checkov for Terraform security
checkov -d .

• Description: Terraform scripts manage cloud infrastructure, with Checkov ensuring security best practices.

6. Continuous Monitoring & Logging

• Tools: Datadog, Splunk

• Security Practice: Real-time security monitoring and log analysis

• Command/Code:

# Datadog agent configuration for monitoring
logs_enabled: true
logs:
  - type: file
    path: /var/log/myapp.log
    service: myapp
    source: python

• Description: Datadog and Splunk are used for monitoring application performance and analyzing logs for security insights.

7. Incident Response & Feedback

• Tools: PagerDuty, TheHive

• Security Practice: Automated incident response and case management

• Command/Code:

# Triggering an incident in PagerDuty
curl -X POST --header 'Content-Type: application/json' \
--header 'Authorization: Token token=my_pagerduty_token' \
-d '{"incident": {"type": "incident", "title": "Security Alert", "service": {"id": "service_id", "type": "service_reference"}}}' \
'https://api.pagerduty.com/incidents'

• Description: PagerDuty manages incident alerts, while TheHive is used for case management and investigation.

Textual System Diagram

[Developers] --plan & code--> [Jira & GitHub Copilot]
    |
    | (1) Secure Coding
    v
[GitHub Copilot] --commit code--> [GitHub Repository]
    |
    | (2) Secret Scanning
    v
[GitHub] --trigger CI--> [Jenkins Server]
    |
    | (3) SAST & Dependency Scanning
    v
[Jenkins] --deploy code--> [Ansible & HashiCorp Vault]
    |
    | (4) Secure Deployment & Secrets Management
    v
[Ansible] --manage infrastructure--> [Terraform & Checkov]
    |
    | (5) Infrastructure as Code Security
    v
[Terraform] --log data--> [Datadog & Splunk]
    |
    | (6) Monitoring & Logging
    v
[Datadog] --incident detection--> [PagerDuty & TheHive]
    |
    | (7) Incident Response & Case Management
    v
[PagerDuty & TheHive] --alert & manage--> [Developers/Security Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10)

  • Proof: Use of HashiCorp Vault for secrets management and GitGuardian for secret scanning ensures high confidentiality of sensitive data.

• Integrity (Rating: 8/10)

  • Proof: SonarQube and Snyk maintain code and dependency integrity. Terraform and Checkov ensure infrastructure integrity.

• Availability (Rating: 7/10)

  • Proof: Datadog and Splunk provide continuous monitoring to maintain high availability, but there's always room for improvement in disaster recovery and redundancy strategies.

Scenario: Advanced DevSecOps Workflow in a Cloud-Native Environment

1. Planning & Code Development

• Tools: Azure DevOps Boards, GitHub

• Security Practice: Agile planning with security user stories

• Description: Azure DevOps Boards is used for sprint planning, ensuring security tasks and user stories are included. Code is developed and managed in GitHub repositories.

2. Source Code Repository

• Tools: GitHub, GitLab

• Security Practice: Code scanning and review

• Command/Code:

# GitHub Actions for code scanning
name: "Code Scanning - Action"

on:
  push:
  pull_request:
  schedule:
    - cron: '0 1 * * 0'

jobs:
  build:
    name: Build
    runs-on: ubuntu-latest

    steps:
    - name: Checkout repository
      uses: actions/checkout@v2

    - name: Run CodeQL
      uses: github/codeql-action/analyze@v1

• Description: GitHub Actions is used for automated code scanning using CodeQL to detect vulnerabilities and errors.

3. Continuous Integration

• Tools: Jenkins, SonarCloud

• Security Practice: SAST (Static Application Security Testing)

• Command/Code:

// Jenkinsfile for SAST with SonarCloud
pipeline {
  agent any
  stages {
    stage('SonarCloud Analysis') {
      steps {
        withSonarQubeEnv('SonarCloud') {
          sh 'mvn clean verify sonar:sonar'
        }
      }
    }
  }
}

• Description: Jenkins integrates with SonarCloud for static application security testing, ensuring code quality and security.

4. Continuous Deployment

• Tools: Azure DevOps Pipelines, Terraform Cloud

• Security Practice: Secure and automated deployment

• Command/Code:

# Azure DevOps pipeline for deployment
trigger:
- main

pool:
  vmImage: 'ubuntu-latest'

steps:
- script: echo Deploying Application!
  displayName: 'Run Deployment Script'

• Description: Azure DevOps Pipelines automate the deployment process, with Terraform Cloud managing the infrastructure provisioning securely.

5. Infrastructure Management

• Tools: Terraform, Pulumi

• Security Practice: Infrastructure as Code (IaC) security

• Command/Code:

// Pulumi script for AWS infrastructure
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const bucket = new aws.s3.Bucket("myBucket", {
    acl: "private",
});

• Description: Pulumi and Terraform are used for infrastructure management, ensuring best practices and security in cloud infrastructure provisioning.

6. Continuous Monitoring & Logging

• Tools: Datadog, New Relic

• Security Practice: Real-time monitoring and logging

• Command/Code:

# Datadog agent configuration for log collection
logs:
  - type: file
    path: /var/log/myapp/*.log
    service: myapp
    source: python

• Description: Datadog and New Relic provide comprehensive monitoring and logging capabilities, offering insights into application performance and security.

7. Incident Response & Feedback

• Tools: Opsgenie, Jira Service Management

• Security Practice: Incident management and feedback loop

• Command/Code:

# Opsgenie alert creation
curl -X POST https://api.opsgenie.com/v2/alerts \
  -H "Content-Type: application/json" \
  -H "Authorization: GenieKey YOUR_API_KEY" \
  -d '{
        "message": "High CPU Usage detected",
        "alias": "High CPU",
        "description": "CPU usage exceeded 90%",
        "responders": [{"type": "team", "name": "Operations"}],
        "visibleTo": [{"type": "team", "name": "Development"}],
        "actions": ["Restart", "Scale"],
        "tags": ["cpu", "high_usage"],
        "details": {"monitoring_tool": "Datadog"}
      }'

• Description: Opsgenie for alerting and incident management, integrated with Jira Service Management for tracking and resolution.

Textual System Diagram

[Developers] --plan & code--> [Azure DevOps Boards & GitHub]
    |
    | (1) Agile Planning & Code Management
    v
[GitHub] --code scanning--> [GitHub Actions]
    |
    | (2) Automated Code Scanning
    v
[GitHub] --trigger CI--> [Jenkins & SonarCloud]
    |
    | (3) SAST & Code Quality Check
    v
[Jenkins] --deploy code--> [Azure DevOps Pipelines & Terraform Cloud]
    |
    | (4) Deployment Automation
    v
[Azure DevOps Pipelines] --manage infrastructure--> [Terraform & Pulumi]
    |
    | (5) IaC Security & Management
    v
[Terraform & Pulumi] --monitoring--> [Datadog & New Relic]
    |
    | (6) Continuous Monitoring & Logging
    v
[Datadog & New Relic] --incident detection--> [Opsgenie & Jira Service Management]
    |
    | (7) Incident Response & Management
    v
[Opsgenie & Jira] --feedback loop--> [Developers/Security Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 8/10)

  • Proof: Use of GitHub for secure code management and HashiCorp Vault for secrets management ensures data confidentiality.

• Integrity (Rating: 9/10)

  • Proof: SonarCloud and Jenkins ensure code integrity. Terraform and Pulumi maintain infrastructure integrity.

• Availability (Rating: 7/10)

  • Proof: Continuous monitoring with Datadog and New Relic ensures high availability, but disaster recovery strategies could be further enhanced.

Scenario: Modern DevSecOps in a Microservices Architecture

1. Planning & Code Development

• Tools: Atlassian Confluence, JetBrains IntelliJ IDEA

• Security Practice: Secure design documentation and IDE-based security linting

• Description: Confluence is used for documenting security requirements and architecture. IntelliJ IDEA, with its security plugins, assists developers in writing secure code.

2. Source Code Repository

• Tools: Bitbucket, GitLeaks

• Security Practice: Secure source code management and secret scanning

• Command/Code:

# GitLeaks pre-push hook
gitleaks protect --staged

• Description: Bitbucket hosts the repositories, and GitLeaks scans for accidental secret commits.

3. Continuous Integration

• Tools: CircleCI, Veracode

• Security Practice: SAST and container scanning

• Command/Code:

# CircleCI config for SAST with Veracode
version: 2.1
orbs:
  veracode: veracode/veracode-scan@1.0.0
workflows:
  version: 2
  build-and-scan:
    jobs:
      - veracode/scan:
          file_path: "./target/*.jar"

• Description: CircleCI integrates with Veracode for static application security testing and container vulnerability scanning.

4. Continuous Deployment

• Tools: Spinnaker, HashiCorp Vault

• Security Practice: Secure deployment automation and secret management

• Command/Code:

// Spinnaker pipeline JSON snippet
{
  "keepWaitingPipelines": false,
  "limitConcurrent": true,
  "stages": [
    {
      "name": "Deploy to Kubernetes",
      "type": "deployManifest"
      // Additional deployment details
    }
  ]
}

• Description: Spinnaker manages deployments across environments, with HashiCorp Vault handling secrets.

5. Infrastructure Management

• Tools: AWS CloudFormation, Bridgecrew

• Security Practice: Infrastructure as Code security and compliance

• Command/Code:

# AWS CloudFormation snippet for secure infrastructure
Resources:
  MyEC2Instance:
    Type: "AWS::EC2::Instance"
    Properties:
      ImageId: "ami-0abcdef1234567890"

# Bridgecrew scan
bridgecrew -d /path/to/cloudformation

• Description: AWS CloudFormation scripts define the infrastructure, and Bridgecrew checks them for security and compliance.

6. Continuous Monitoring & Logging

• Tools: Grafana Loki, Prometheus

• Security Practice: Log aggregation and performance monitoring

• Command/Code:

# Prometheus configuration for monitoring
global:
  scrape_interval: 15s
scrape_configs:
  - job_name: 'microservices'
    static_configs:
      - targets: ['service1:9090', 'service2:9090']

• Description: Grafana Loki aggregates logs, and Prometheus monitors microservices performance and health.

7. Incident Response & Feedback

• Tools: PagerDuty, Tenable.io

• Security Practice: Incident alerting and vulnerability management

• Command/Code:

# Tenable.io scan initiation
curl -X POST -H 'Content-Type: application/json' -H 'X-ApiKeys: accessKey=ACCESS_KEY;secretKey=SECRET_KEY' \
-d '{"uuid": "TEMPLATE_UUID"}' \
'https://cloud.tenable.com/scans'

• Description: PagerDuty handles incident alerts, and Tenable.io is used for continuous vulnerability management.

Textual System Diagram

[Developers] --plan & code--> [Confluence & IntelliJ IDEA]
    |
    | (1) Secure Design & Development
    v
[IntelliJ IDEA] --commit code--> [Bitbucket Repository]
    |
    | (2) Source Code Management & Secret Scanning
    v
[Bitbucket] --trigger CI--> [CircleCI & Veracode]
    |
    | (3) SAST & Container Scanning
    v
[CircleCI] --deploy code--> [Spinnaker & HashiCorp Vault]
    |
    | (4) Deployment Automation & Secret Management
    v
[Spinnaker] --manage infrastructure--> [AWS CloudFormation & Bridgecrew]
    |
    | (5) IaC Security & Compliance
    v
[AWS CloudFormation] --monitoring--> [Grafana Loki & Prometheus]
    |
    | (6) Log Aggregation & Performance Monitoring
    v
[Grafana Loki & Prometheus] --incident detection--> [PagerDuty & Tenable.io]
    |
    | (7) Incident Alerting & Vulnerability Management
    v
[PagerDuty & Tenable.io] --feedback loop--> [Developers/Security Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 8.5/10)

  • Proof: HashiCorp Vault for secrets management and Bitbucket with GitLeaks for source code confidentiality.

• Integrity (Rating: 9/10)

  • Proof: Veracode and Bridgecrew ensure the integrity of code and infrastructure. CircleCI maintains the integrity of the CI/CD process.

• Availability (Rating: 8/10)

  • Proof: Prometheus and Grafana Loki ensure high availability through monitoring, but additional disaster recovery measures could improve the score.

Scenario: Comprehensive DevSecOps in a Hybrid Cloud Environment

1. Project Management & Planning

• Tools: Microsoft Azure DevOps, Miro

• Security Practice: Integrating security into Agile workflows

• Description: Azure DevOps for sprint planning with security tasks integrated. Miro is used for collaborative threat modeling.

2. Code Development & Review

• Tools: Visual Studio Code, Codacy

• Security Practice: Secure coding and automated code reviews

• Command/Code:

# Codacy analysis CLI command
codacy-analysis-cli analyze --directory /path/to/project --format json

• Description: Developers use Visual Studio Code for development, with Codacy integrated for automated code reviews and security checks.

3. Continuous Integration

• Tools: GitLab CI/CD, Whitesource

• Security Practice: SAST and open-source vulnerability scanning

• Command/Code:

# GitLab CI/CD pipeline configuration for Whitesource
whitesource-scan:
  image: whitesource/agent
  script:
    - ws unify -apiKey $WHITESOURCE_API_KEY -projectName "MyProject"

• Description: GitLab CI/CD pipelines are configured to use Whitesource for scanning dependencies and ensuring open-source security compliance.

4. Continuous Deployment

• Tools: Jenkins, Terraform

• Security Practice: Secure deployment automation and infrastructure as code

• Command/Code:

// Jenkins pipeline for Terraform deployment
pipeline {
  agent any
  stages {
    stage('Deploy') {
      steps {
        sh 'terraform apply -auto-approve'
      }
    }
  }
}

• Description: Jenkins automates the deployment process, with Terraform scripts managing the provisioning of cloud infrastructure securely.

5. Infrastructure & Configuration Management

• Tools: Ansible, Cloud Custodian

• Security Practice: Configuration management and cloud security enforcement

• Command/Code:

# Ansible playbook for configuration management
- hosts: all
  tasks:
    - name: Ensure latest security patches are applied
      apt:
        upgrade: 'dist'

# Cloud Custodian policy
policies:
  - name: ec2-compliance
    resource: ec2
    filters:
      - type: value
        key: InstanceType
        value: t2.micro

• Description: Ansible ensures configurations are secure and consistent. Cloud Custodian enforces security policies in the cloud environment.

6. Monitoring & Incident Response

• Tools: Splunk, Grafana

• Security Practice: Security information and event management (SIEM) and incident response

• Command/Code:

# Splunk search query for monitoring
index=main sourcetype=myapp | stats count by host

• Description: Splunk for SIEM, aggregating logs and providing insights for security monitoring. Grafana is used for visualizing metrics and setting up alerts.

7. Compliance & Vulnerability Management

• Tools: Qualys, Prisma Cloud

• Security Practice: Continuous compliance checks and vulnerability assessment

• Command/Code:

# Qualys API call for vulnerability scan
curl -X POST -H "X-Requested-With: Curl" -u "USERNAME:PASSWORD" \
"https://qualysapi.qualys.com/api/2.0/fo/scan/"

• Description: Qualys for regular vulnerability scanning and assessment. Prisma Cloud ensures continuous compliance in the cloud environment.

Textual System Diagram

[Project Management Team] --plan--> [Azure DevOps & Miro]
    |
    | (1) Agile Planning & Threat Modeling
    v
[Developers] --code--> [Visual Studio Code & Codacy]
    |
    | (2) Code Development & Automated Review
    v
[Code Repository] --CI/CD pipeline--> [GitLab CI/CD & Whitesource]
    |
    | (3) Continuous Integration & Security Scanning
    v
[GitLab CI/CD] --deploy--> [Jenkins & Terraform]
    |
    | (4) Deployment Automation & Infrastructure Provisioning
    v
[Infrastructure] --manage & enforce--> [Ansible & Cloud Custodian]
    |
    | (5) Configuration Management & Cloud Security
    v
[Operational Environment] --monitor & respond--> [Splunk & Grafana]
    |
    | (6) SIEM & Incident Response
    v
[Compliance Team] --compliance & vulnerability management--> [Qualys & Prisma Cloud]
    |
    | (7) Compliance Checks & Vulnerability Assessment
    v
[Feedback] --back to planning--> [Project Management Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 8.5/10)

  • Proof: Codacy and Whitesource ensure code confidentiality. Cloud Custodian enforces data privacy policies.

• Integrity (Rating: 9/10)

  • Proof: GitLab CI/CD and Jenkins maintain the integrity of the deployment process. Qualys ensures the integrity of the operational environment.

• Availability (Rating: 8/10)

  • Proof: Terraform and Ansible ensure the availability of infrastructure. Splunk and Grafana provide operational monitoring, but disaster recovery strategies could be further optimized.

Scenario: Streamlined DevSecOps in a Serverless Architecture

1. Project Initiation & Planning

• Tools: Trello, Lucidchart

• Security Practice: Agile planning with integrated security tasks

• Description: Trello for task management with security tasks integrated into the sprint. Lucidchart for creating secure architecture diagrams.

2. Development & Code Review

• Tools: VS Code with Security Extensions, CodeClimate

• Security Practice: Secure coding and automated code quality checks

• Command/Code:

# CodeClimate CLI analysis
codeclimate analyze -f json > codeclimate_report.json

• Description: Developers use VS Code with security extensions for development. CodeClimate is integrated for automated code quality and security checks.

3. Continuous Integration

• Tools: GitHub Actions, SonarCloud

• Security Practice: SAST and code quality analysis

• Command/Code:

# GitHub Actions workflow for SonarCloud
name: SonarCloud
on: [push, pull_request]
jobs:
  build:
    name: SonarCloud Scan
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - name: SonarCloud Scan
        uses: sonarsource/sonarcloud-github-action@master

• Description: GitHub Actions triggers SonarCloud for static application security testing and code quality analysis.

4. Deployment & Configuration Management

• Tools: AWS SAM (Serverless Application Model), AWS Secrets Manager

• Security Practice: Secure serverless deployment and secret management

• Command/Code:

# AWS SAM template for serverless deployment
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
  MyFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: index.handler
      Runtime: nodejs14.x
      Environment:
        Variables:
          SECRET_NAME: mySecret

• Description: AWS SAM for deploying serverless applications. AWS Secrets Manager securely manages and retrieves secrets.

5. Infrastructure as Code (IaC)

• Tools: Terraform, Checkov

• Security Practice: IaC security and compliance

• Command/Code:

# Terraform script for AWS infrastructure
resource "aws_s3_bucket" "my_bucket" {
  bucket = "my-secure-bucket"
  acl    = "private"
}

# Checkov for Terraform security
checkov -d /path/to/terraform

• Description: Terraform scripts define cloud infrastructure, with Checkov ensuring IaC security and compliance.

6. Monitoring & Incident Management

• Tools: Datadog, PagerDuty

• Security Practice: Real-time monitoring and incident alerting

• Command/Code:

# Datadog configuration for AWS Lambda monitoring
logs:
  - type: lambda
    source: my_lambda_function

• Description: Datadog for monitoring serverless applications and infrastructure. PagerDuty for incident alerting and management.

7. Compliance & Vulnerability Assessment

• Tools: Prisma Cloud, Snyk

• Security Practice: Cloud compliance and vulnerability scanning

• Command/Code:

# Snyk command for vulnerability scanning
snyk test --all-projects

• Description: Prisma Cloud for continuous cloud compliance checks. Snyk scans for vulnerabilities in dependencies and serverless functions.

Textual System Diagram

[Team] --plan & design--> [Trello & Lucidchart]
    |
    | (1) Agile Planning & Secure Design
    v
[Developers] --code & review--> [VS Code & CodeClimate]
    |
    | (2) Development & Automated Review
    v
[Code Repository] --CI pipeline--> [GitHub Actions & SonarCloud]
    |
    | (3) CI & Security Analysis
    v
[GitHub Actions] --deploy--> [AWS SAM & Secrets Manager]
    |
    | (4) Serverless Deployment & Secret Management
    v
[Deployment] --IaC--> [Terraform & Checkov]
    |
    | (5) Infrastructure as Code Security
    v
[Terraform] --monitor & manage--> [Datadog & PagerDuty]
    |
    | (6) Monitoring & Incident Management
    v
[Operational Environment] --compliance & assessment--> [Prisma Cloud & Snyk]
    |
    | (7) Compliance Checks & Vulnerability Scanning
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 8.5/10)

  • Proof: AWS Secrets Manager for secret confidentiality. CodeClimate and SonarCloud ensure secure code.

• Integrity (Rating: 9/10)

  • Proof: GitHub Actions and Terraform maintain deployment integrity. Checkov ensures IaC integrity.

• Availability (Rating: 8/10)

  • Proof: Datadog ensures high availability through monitoring. AWS SAM optimizes serverless deployment availability.

Scenario: Advanced DevSecOps in a Containerized Environment

1. Project Management & Requirement Analysis

• Tools: Jira, Draw.io

• Security Practice: Agile security task integration and architectural design

• Description: Using Jira for sprint planning with integrated security tasks. Draw.io for designing secure system architectures.

2. Development & Static Code Analysis

• Tools: Visual Studio Code, SonarLint

• Security Practice: Secure coding and real-time static analysis

• Command/Code:

# SonarLint integration in VS Code for real-time analysis
# Extension installed directly in VS Code

• Description: Developers use Visual Studio Code with SonarLint extension for real-time static code analysis and secure coding practices.

3. Version Control & Secret Scanning

• Tools: Git, GitGuardian

• Security Practice: Source code management and secret leak prevention

• Command/Code:

# GitGuardian pre-commit hook for secret scanning
ggshield secret scan pre-commit

• Description: Git for version control with GitGuardian integrated to scan and prevent secrets from being committed.

4. Continuous Integration & Security Scanning

• Tools: Jenkins, Anchore Engine

• Security Practice: Automated CI pipeline with container image scanning

• Command/Code:

// Jenkins pipeline for building and scanning Docker images
pipeline {
  agent any
  stages {
    stage('Build & Scan Image') {
      steps {
        sh 'docker build -t myapp:latest .'
        sh 'anchore-cli image add myapp:latest'
        sh 'anchore-cli image wait myapp:latest'
        sh 'anchore-cli evaluate check myapp:latest'
      }
    }
  }
}

• Description: Jenkins automates the CI process, including building Docker images and scanning them with Anchore Engine for vulnerabilities.

5. Container Orchestration & Configuration Management

• Tools: Kubernetes, Helm, HashiCorp Vault

• Security Practice: Secure container orchestration and secret management

• Command/Code:

# Helm chart snippet for Kubernetes deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
spec:
  replicas: 3
  template:
    spec:
      containers:
      - name: myapp
        image: myapp:latest

• Description: Kubernetes for container orchestration with Helm charts for deployment management. HashiCorp Vault for handling secrets and sensitive configuration.

6. Continuous Monitoring & Incident Response

• Tools: Prometheus, Grafana, Alertmanager

• Security Practice: Real-time monitoring and alerting

• Command/Code:

# Prometheus configuration for monitoring Kubernetes pods
global:
  scrape_interval: 15s
scrape_configs:
  - job_name: 'kubernetes-pods'
    kubernetes_sd_configs:
      - role: pod

• Description: Prometheus and Grafana for monitoring containerized applications and infrastructure. Alertmanager for handling alerts and incidents.

7. Compliance & Vulnerability Management

• Tools: Aqua Security, Prisma Cloud

• Security Practice: Compliance enforcement and vulnerability assessment

• Command/Code:

# Aqua Security CLI command for scanning
aqua scan --image myapp:latest --registry myregistry

• Description: Aqua Security for runtime protection and scanning container images. Prisma Cloud for ensuring compliance in the cloud environment.

Textual System Diagram

[Team] --plan & design--> [Jira & Draw.io]
    |
    | (1) Agile Planning & Architectural Design
    v
[Developers] --code & analyze--> [VS Code & SonarLint]
    |
    | (2) Development & Static Analysis
    v
[Code Repository] --version control & scan--> [Git & GitGuardian]
    |
    | (3) SCM & Secret Scanning
    v
[Git] --CI pipeline--> [Jenkins & Anchore Engine]
    |
    | (4) CI & Container Scanning
    v
[Jenkins] --orchestrate & configure--> [Kubernetes, Helm & Vault]
    |
    | (5) Orchestration & Configuration Management
    v
[Kubernetes] --monitor & alert--> [Prometheus, Grafana & Alertmanager]
    |
    | (6) Monitoring & Incident Response
    v
[Operational Environment] --compliance & vulnerability--> [Aqua Security & Prisma Cloud]
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10)

  • Proof: HashiCorp Vault for secrets management. GitGuardian to prevent secret leaks.

• Integrity (Rating: 9/10)

  • Proof: SonarLint and Anchore Engine ensure code and container integrity. Jenkins maintains CI process integrity.

• Availability (Rating: 8/10)

  • Proof: Kubernetes and Prometheus ensure high availability. Grafana and Alertmanager for real-time alerting, but disaster recovery strategies could be further optimized.

Scenario: Comprehensive DevSecOps in AI/ML Project Development

1. Project Planning & Design 📈

• Tools: Monday.com, Lucidchart

• Security Control: Security-focused project management, secure architecture design

• Security Rule: "Incorporate security considerations in all project phases and architectural designs."

• Description: Monday.com is used for project management with a focus on security tasks. Lucidchart for designing a secure AI/ML architecture.

2. Code Development & Review 👨‍💻

• Tools: PyCharm, Bandit (Python Security Linter)

• Security Control: Secure coding practices, static code analysis

• Security Rule: "All Python code must pass security linting with Bandit before merging."

• Command/Code:

# Bandit security linting command
bandit -r ./my_ml_project

• Description: Developers use PyCharm for Python development. Bandit is integrated for static security analysis of Python code.

3. Version Control & Secret Management 🔒

• Tools: GitLab, Doppler

• Security Control: Secure source code management, secret protection

• Security Rule: "No hard-coded secrets; use Doppler for secret management."

• Command/Code:

# Doppler setup command
doppler setup --project my_ml_project --config dev

• Description: GitLab for version control with integrated CI/CD. Doppler for managing and injecting secrets into the CI/CD pipeline.

4. Continuous Integration & Dependency Scanning 🔄

• Tools: Jenkins, OWASP Dependency-Check

• Security Control: Automated CI pipeline, open-source vulnerability scanning

• Security Rule: "Scan all dependencies for vulnerabilities in each CI build."

• Command/Code:

// Jenkins pipeline stage for dependency scanning
stage('Dependency Scan') {
  steps {
    sh 'dependency-check.sh --project "My ML Project" --scan ./src'
  }
}

• Description: Jenkins for CI with automated builds and tests. OWASP Dependency-Check scans project dependencies for vulnerabilities.

5. Containerization & Orchestration 📦

• Tools: Docker, Kubernetes

• Security Control: Secure containerization, orchestrated deployment

• Security Rule: "Use Docker for containerization with secure base images and Kubernetes for orchestration."

• Command/Code:

# Dockerfile example
FROM python:3.8-slim
COPY . /app
WORKDIR /app
RUN pip install -r requirements.txt
CMD ["python", "app.py"]

• Description: Docker for containerizing the AI/ML application. Kubernetes for orchestrating container deployment.

6. Monitoring & Incident Response 🚨

• Tools: Prometheus, Grafana, PagerDuty

• Security Control: Real-time monitoring, alerting, and incident management

• Security Rule: "Monitor application performance and health; alert and respond to incidents promptly."

• Command/Code:

# Prometheus scrape config
scrape_configs:
  - job_name: 'kubernetes'
    kubernetes_sd_configs:
      - role: pod

• Description: Prometheus and Grafana for monitoring the Kubernetes environment. PagerDuty for incident alerting and response.

7. Compliance & Vulnerability Management 🔎

• Tools: Nessus, AWS Security Hub

• Security Control: Regular vulnerability assessments, centralized security insights

• Security Rule: "Conduct regular vulnerability scans and review AWS Security Hub for insights."

• Command/Code:

# Nessus scan initiation command
nessuscli scan new --template "basic" --name "My ML Project Scan" --targets "10.0.0.1,10.0.0.2"

• Description: Nessus for vulnerability scanning of the network and hosts. AWS Security Hub for centralized security insights and compliance checks.

Textual System Diagram

[Team] --plan & design--> [Monday.com & Lucidchart] 📈
    |
    | (1) Project Planning & Secure Design
    v
[Developers] --code & review--> [PyCharm & Bandit] 👨‍💻
    |
    | (2) Secure Coding & Static Analysis
    v
[Code Repository] --version control & secrets--> [GitLab & Doppler] 🔒
    |
    | (3) SCM & Secret Management
    v
[GitLab] --CI pipeline--> [Jenkins & OWASP Dependency-Check] 🔄
    |
    | (4) CI & Dependency Scanning
    v
[Jenkins] --containerize & orchestrate--> [Docker & Kubernetes] 📦
    |
    | (5) Containerization & Orchestration
    v
[Kubernetes] --monitor & respond--> [Prometheus, Grafana & PagerDuty] 🚨
    |
    | (6) Monitoring & Incident Response
    v
[Operational Environment] --compliance & assessment--> [Nessus & AWS Security Hub] 🔎
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10) 🔐

  • Proof: Doppler for secret management. GitLab for secure code storage.

• Integrity (Rating: 8.5/10) ✅

  • Proof: Bandit and OWASP Dependency-Check ensure code and dependency integrity.

• Availability (Rating: 8/10) 🔄

  • Proof: Kubernetes ensures high availability. Prometheus and Grafana for monitoring, but disaster recovery strategies could be enhanced.

Scenario: DevSecOps in Full-Stack Web Application Development

1. Project Planning & Requirement Analysis 📋

• Tools: ClickUp, Miro

• Security Control: Security-focused Agile project management, threat modeling

• Security Rule: "All project tasks must include security considerations, documented in Miro."

• Description: ClickUp for managing project tasks with a focus on security. Miro for collaborative threat modeling and secure design.

2. Development & Static Code Analysis 👨‍💻

• Tools: Visual Studio Code, ESLint with Security Plugin

• Security Control: Secure coding practices, static code analysis

• Security Rule: "All JavaScript code must pass ESLint security linting before commit."

• Command/Code:

# ESLint security linting command
eslint --ext .js,.jsx src/

• Description: Developers use Visual Studio Code for coding. ESLint with security plugins for JavaScript linting.

3. Version Control & Secret Scanning 🔐

• Tools: GitHub, GitGuardian

• Security Control: Secure source code management, secret leak prevention

• Security Rule: "Scan for secrets pre-commit; block commits containing secrets."

• Command/Code:

# GitGuardian pre-commit hook
ggshield secret scan pre-commit

• Description: GitHub for version control. GitGuardian integrated to scan and prevent secrets from being committed.

4. Continuous Integration & Security Testing 🔄

• Tools: Jenkins, SonarQube

• Security Control: CI pipeline security, SAST

• Security Rule: "Automatically perform SAST on all commits using SonarQube."

• Command/Code:

// Jenkins pipeline for SonarQube integration
pipeline {
  agent any
  stages {
    stage('SonarQube Scan') {
      steps {
        withSonarQubeEnv('SonarQube') {
          sh 'mvn clean verify sonar:sonar'
        }
      }
    }
  }
}

• Description: Jenkins for CI, integrating SonarQube for static application security testing.

5. Containerization & Orchestration 📦

• Tools: Docker, Kubernetes

• Security Control: Secure containerization, orchestrated deployment

• Security Rule: "Use Docker for containerization with secure base images and Kubernetes for orchestration."

• Command/Code:

# Dockerfile for web application
FROM node:14-alpine
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 3000
CMD ["npm", "start"]

• Description: Docker for containerizing the web application. Kubernetes for managing container deployment.

6. Monitoring & Incident Management 🚨

• Tools: Prometheus, Grafana, Alertmanager

• Security Control: Real-time monitoring, alerting, and incident management

• Security Rule: "Continuously monitor application and infrastructure; alert on anomalies."

• Command/Code:

# Prometheus configuration for monitoring
global:
  scrape_interval: 15s
scrape_configs:
  - job_name: 'nodejs-app'
    static_configs:
      - targets: ['nodejs-app:3000']

• Description: Prometheus for monitoring the application. Grafana for dashboards and visualization. Alertmanager for handling alerts.

7. Compliance & Vulnerability Management 🔍

• Tools: Nessus, AWS Security Hub

• Security Control: Regular vulnerability assessments, centralized security insights

• Security Rule: "Conduct regular vulnerability scans and review AWS Security Hub insights."

• Command/Code:

# Nessus scan initiation command
nessuscli scan new --template "basic" --name "Web App Scan" --targets "webapp.example.com"

• Description: Nessus for vulnerability scanning. AWS Security Hub for centralized security insights and compliance checks.

Textual System Diagram

[Team] --plan & design--> [ClickUp & Miro] 📋
    |
    | (1) Project Planning & Threat Modeling
    v
[Developers] --code & analyze--> [VS Code & ESLint] 👨‍💻
    |
    | (2) Development & Static Analysis
    v
[Code Repository] --version control & scan--> [GitHub & GitGuardian] 🔐
    |
    | (3) SCM & Secret Scanning
    v
[GitHub] --CI pipeline--> [Jenkins & SonarQube] 🔄
    |
    | (4) CI & Security Testing
    v
[Jenkins] --containerize & orchestrate--> [Docker & Kubernetes] 📦
    |
    | (5) Containerization & Orchestration
    v
[Kubernetes] --monitor & alert--> [Prometheus, Grafana & Alertmanager] 🚨
    |
    | (6) Monitoring & Incident Management
    v
[Operational Environment] --compliance & assessment--> [Nessus & AWS Security Hub] 🔍
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10) 🔒

  • Proof: GitGuardian prevents secret leaks. Docker containers encapsulate application secrets.

• Integrity (Rating: 8.5/10) ✅

  • Proof: SonarQube ensures code integrity. Jenkins maintains CI process integrity.

• Availability (Rating: 8/10) 🔄

  • Proof: Kubernetes ensures high availability. Prometheus and Grafana provide operational monitoring, but disaster recovery strategies could be enhanced.

Scenario: DevSecOps in E-commerce Web Application Development

1. Project Planning & Design 📈

• Tools: Notion, Adobe XD

• Security Control: Security-focused Agile project management, secure UX/UI design

• Security Rule: "Incorporate security considerations in all project tasks and UX/UI designs."

• Description: Notion for managing project tasks with a focus on security. Adobe XD for designing a secure and user-friendly e-commerce interface.

2. Development & Static Code Analysis 💻

• Tools: Sublime Text, SonarLint

• Security Control: Secure coding practices, real-time static analysis

• Security Rule: "All code must pass SonarLint security checks before being pushed."

• Command/Code:

# SonarLint is integrated into Sublime Text for real-time analysis
# No specific command needed; runs automatically

• Description: Developers use Sublime Text for coding. SonarLint is integrated for real-time static security analysis.

3. Version Control & Secret Management 🔐

• Tools: Bitbucket, Doppler

• Security Control: Secure source code management, secret protection

• Security Rule: "Use Doppler for managing all application secrets and API keys."

• Command/Code:

# Doppler setup command
doppler setup --project e-commerce --config dev

• Description: Bitbucket for version control with integrated CI/CD. Doppler for managing and injecting secrets into the CI/CD pipeline.

4. Continuous Integration & Dependency Scanning 🔄

• Tools: CircleCI, WhiteSource

• Security Control: CI pipeline security, open-source vulnerability scanning

• Security Rule: "Scan all dependencies for vulnerabilities in each CI build using WhiteSource."

• Command/Code:

# CircleCI configuration for WhiteSource scanning
version: 2.1
orbs:
  whitesource: whitesource/wss_agent@1.0.0
workflows:
  version: 2
  build:
    jobs:
      - whitesource/scan

• Description: CircleCI for continuous integration. WhiteSource scans project dependencies for vulnerabilities.

5. Containerization & Orchestration 📦

• Tools: Docker, Amazon ECS

• Security Control: Secure containerization, orchestrated deployment

• Security Rule: "Use Docker for containerization with secure base images and Amazon ECS for orchestration."

• Command/Code:

# Dockerfile for e-commerce application
FROM node:14
WORKDIR /usr/src/app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 8080
CMD ["node", "server.js"]

• Description: Docker for containerizing the e-commerce application. Amazon ECS for managing container deployment.

6. Monitoring & Incident Response 🚨

• Tools: New Relic, PagerDuty

• Security Control: Real-time monitoring, alerting, and incident management

• Security Rule: "Monitor application performance and health; alert and respond to incidents promptly using New Relic and PagerDuty."

• Command/Code:

# New Relic configuration for monitoring
# Configured via New Relic APM UI;

• Description: New Relic for monitoring the application. PagerDuty for incident alerting and response.

7. Compliance & Vulnerability Management 🔍

• Tools: Qualys, AWS Security Hub

• Security Control: Regular vulnerability assessments, centralized security insights

• Security Rule: "Conduct regular vulnerability scans with Qualys and review AWS Security Hub for insights."

• Command/Code:

# Qualys scan initiation command
qualys-api.sh --start-scan --target "e-commerce.example.com"

• Description: Qualys for vulnerability scanning. AWS Security Hub for centralized security insights and compliance checks.

Textual System Diagram

[Team] --plan & design--> [Notion & Adobe XD] 📈
    |
    | (1) Project Planning & Secure Design
    v
[Developers] --code & analyze--> [Sublime Text & SonarLint] 💻
    |
    | (2) Development & Static Analysis
    v
[Code Repository] --version control & secrets--> [Bitbucket & Doppler] 🔐
    |
    | (3) SCM & Secret Management
    v
[Bitbucket] --CI pipeline--> [CircleCI & WhiteSource] 🔄
    |
    | (4) CI & Dependency Scanning
    v
[CircleCI] --containerize & orchestrate--> [Docker & Amazon ECS] 📦
    |
    | (5) Containerization & Orchestration
    v
[Amazon ECS] --monitor & alert--> [New Relic & PagerDuty] 🚨
    |
    | (6) Monitoring & Incident Response
    v
[Operational Environment] --compliance & assessment--> [Qualys & AWS Security Hub] 🔍
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10) 🔒

  • Proof: Doppler ensures confidentiality of secrets. Bitbucket provides secure code storage.

• Integrity (Rating: 8.5/10) ✅

  • Proof: SonarLint and WhiteSource maintain code and dependency integrity. CircleCI ensures CI process integrity.

• Availability (Rating: 8/10) 🔄

  • Proof: Amazon ECS and Docker ensure high availability. New Relic provides operational monitoring, but disaster recovery strategies could be improved.

Scenario: DevSecOps in a Modern Web Application Development

1. Project Planning & Design 📋

• Tools: Trello, Balsamiq

• Security Control: Security-integrated Agile project management, secure UI/UX design

• Security Rule: "All project tasks must include security considerations, and UI/UX designs should be vetted for security."

• Description: Trello is used for Agile project management with security tasks. Balsamiq for wireframing secure UI/UX designs.

2. Development & Static Code Analysis 👨‍💻

• Tools: VS Code, ESLint with Security Plugins

• Security Control: Secure coding practices, static code analysis

• Security Rule: "All JavaScript code must pass ESLint security linting before commit."

• Command/Code:

# ESLint security linting command
eslint --ext .js,.jsx,.ts,.tsx src/

• Description: Developers use VS Code for coding. ESLint with security plugins for JavaScript/TypeScript linting.

3. Version Control & Secret Management 🔐

• Tools: GitHub, HashiCorp Vault

• Security Control: Secure source code management, secret protection

• Security Rule: "No hard-coded secrets; use HashiCorp Vault for secret management."

• Command/Code:

# HashiCorp Vault command to retrieve a secret
vault kv get secret/my-web-app/db-password

• Description: GitHub for version control. HashiCorp Vault for managing and storing secrets.

4. Continuous Integration & Dependency Scanning 🔄

• Tools: Jenkins, OWASP Dependency-Check

• Security Control: CI pipeline security, open-source vulnerability scanning

• Security Rule: "Scan all dependencies for vulnerabilities in each CI build."

• Command/Code:

// Jenkins pipeline stage for OWASP Dependency-Check
pipeline {
  agent any
  stages {
    stage('Dependency Check') {
      steps {
        sh 'dependency-check.sh --project "My Web App" --scan ./src'
      }
    }
  }
}

• Description: Jenkins for CI, integrating OWASP Dependency-Check for scanning project dependencies.

5. Containerization & Orchestration 📦

• Tools: Docker, Kubernetes

• Security Control: Secure containerization, orchestrated deployment

• Security Rule: "Use Docker for containerization with secure base images and Kubernetes for orchestration."

• Command/Code:

# Dockerfile for the web application
FROM node:14-alpine
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm install
COPY . .
EXPOSE 3000
CMD ["npm", "start"]

• Description: Docker for containerizing the web application. Kubernetes for managing container deployment.

6. Monitoring & Incident Response 🚨

• Tools: Prometheus, Grafana, Alertmanager

• Security Control: Real-time monitoring, alerting, and incident management

• Security Rule: "Continuously monitor application and infrastructure; alert on anomalies."

• Command/Code:

# Prometheus configuration for monitoring
global:
  scrape_interval: 15s
scrape_configs:
  - job_name: 'my-web-app'
    static_configs:
      - targets: ['my-web-app:3000']

• Description: Prometheus for monitoring the application. Grafana for dashboards and visualization. Alertmanager for handling alerts.

7. Compliance & Vulnerability Management 🔍

• Tools: Nessus, AWS Security Hub

• Security Control: Regular vulnerability assessments, centralized security insights

• Security Rule: "Conduct regular vulnerability scans and review AWS Security Hub insights."

• Command/Code:

# Nessus scan initiation command
nessuscli scan new --template "basic" --name "My Web App Scan" --targets "webapp.example.com"

• Description: Nessus for vulnerability scanning. AWS Security Hub for centralized security insights and compliance checks.

Textual System Diagram

[Team] --plan & design--> [Trello & Balsamiq] 📋
    |
    | (1) Project Planning & Secure Design
    v
[Developers] --code & analyze--> [VS Code & ESLint] 👨‍💻
    |
    | (2) Development & Static Analysis
    v
[Code Repository] --version control & secrets--> [GitHub & HashiCorp Vault] 🔐
    |
    | (3) SCM & Secret Management
    v
[GitHub] --CI pipeline--> [Jenkins & OWASP Dependency-Check] 🔄
    |
    | (4) CI & Dependency Scanning
    v
[Jenkins] --containerize & orchestrate--> [Docker & Kubernetes] 📦
    |
    | (5) Containerization & Orchestration
    v
[Kubernetes] --monitor & alert--> [Prometheus, Grafana & Alertmanager] 🚨
    |
    | (6) Monitoring & Incident Response
    v
[Operational Environment] --compliance & assessment--> [Nessus & AWS Security Hub] 🔍
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10) 🔒

  • Proof: HashiCorp Vault ensures the confidentiality of secrets. GitHub provides secure code storage.

• Integrity (Rating: 8.5/10) ✅

  • Proof: ESLint and OWASP Dependency-Check maintain code and dependency integrity. Jenkins ensures CI process integrity.

• Availability (Rating: 8/10) 🔄

  • Proof: Kubernetes ensures high availability. Prometheus and Grafana provide operational monitoring, but disaster recovery strategies could be enhanced.

Scenario: DevSecOps in a Financial Services Application

1. Project Planning & Threat Modeling 📈

• Tools: Jira, ThreatModeler

• Security Control: Security-focused Agile project management, threat modeling

• Security Rule: "Incorporate security and threat modeling in all project phases."

• Solution: Use Jira for task management with security tasks. ThreatModeler for creating threat models specific to financial services.

• Attacker Technique: T1587.001 (Gather Victim Identity Information)

2. Secure Coding & Code Review 👨‍💻

• Tools: Eclipse, SonarQube

• Security Control: Secure coding practices, static code analysis

• Security Rule: "All Java code must pass SonarQube security checks before merging."

• Solution: Eclipse IDE with SonarLint plugin for real-time code analysis. SonarQube for comprehensive code review.

• Attacker Technique: T1195 (Supply Chain Compromise)

• Command/Code:

# SonarQube analysis command
mvn sonar:sonar -Dsonar.projectKey=financial_app -Dsonar.host.url=http://localhost:9000

3. Version Control & Secret Management 🔐

• Tools: GitLab, Azure Key Vault

• Security Control: Secure source code management, secret protection

• Security Rule: "No hard-coded secrets; use Azure Key Vault for all secrets."

• Solution: GitLab for version control with integrated CI/CD. Azure Key Vault for storing and managing secrets.

• Attacker Technique: T1552.001 (Unsecured Credentials: Credentials in Files)

• Command/Code:

# Azure Key Vault secret retrieval
az keyvault secret show --name db-password --vault-name MyVault

4. Continuous Integration & Dependency Scanning 🔄

• Tools: Jenkins, OWASP Dependency-Check

• Security Control: CI pipeline security, dependency vulnerability scanning

• Security Rule: "Scan all dependencies for vulnerabilities in each CI build."

• Solution: Jenkins for CI, integrating OWASP Dependency-Check for scanning dependencies.

• Attacker Technique: T1199 (Trusted Relationship)

• Command/Code:

// Jenkins pipeline stage for dependency scanning
stage('Dependency Check') {
  steps {
    sh 'dependency-check --project "Financial App" --scan ./src'
  }
}

5. Containerization & Orchestration 📦

• Tools: Docker, Kubernetes

• Security Control: Secure containerization, orchestrated deployment

• Security Rule: "Use Docker for containerization with secure base images and Kubernetes for orchestration."

• Solution: Docker for containerizing the application. Kubernetes for managing container deployment.

• Attacker Technique: T1525 (Server Software Component)

• Command/Code:

# Dockerfile for the application
FROM openjdk:11-jdk-slim
COPY target/financial-app.jar app.jar
ENTRYPOINT ["java","-jar","/app.jar"]

6. Monitoring & Incident Response 🚨

• Tools: Splunk, TheHive

• Security Control: Real-time monitoring, alerting, and incident management

• Security Rule: "Monitor application and infrastructure; alert and manage incidents."

• Solution: Splunk for SIEM and log analysis. TheHive for incident response and management.

• Attacker Technique: T1592 (Gather Victim Network Information)

• Command/Code:

# Splunk search query for monitoring
index="financial_logs" sourcetype="financial_app" | stats count by host, severity

7. Compliance & Vulnerability Management 🔍

• Tools: Nessus, AWS Security Hub

• Security Control: Regular vulnerability assessments, centralized security insights

• Security Rule: "Conduct regular vulnerability scans and review AWS Security Hub insights."

• Solution: Nessus for vulnerability scanning. AWS Security Hub for centralized security insights and compliance checks.

• Attacker Technique: T1595 (Active Scanning)

• Command/Code:

# Nessus scan initiation command
nessuscli scan new --template "advanced" --name "Financial App Scan" --targets "app.example.com"

Textual System Diagram

[Team] --plan & threat model--> [Jira & ThreatModeler] 📈
    |
    | (1) Project Planning & Threat Modeling
    v
[Developers] --code & review--> [Eclipse & SonarQube] 👨‍💻
    |
    | (2) Secure Coding & Code Review
    v
[Code Repository] --version control & secrets--> [GitLab & Azure Key Vault] 🔐
    |
    | (3) SCM & Secret Management
    v
[GitLab] --CI pipeline--> [Jenkins & OWASP Dependency-Check] 🔄
    |
    | (4) CI & Dependency Scanning
    v
[Jenkins] --containerize & orchestrate--> [Docker & Kubernetes] 📦
    |
    | (5) Containerization & Orchestration
    v
[Kubernetes] --monitor & respond--> [Splunk & TheHive] 🚨
    |
    | (6) Monitoring & Incident Response
    v
[Operational Environment] --compliance & assessment--> [Nessus & AWS Security Hub] 🔍
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10) 🔒

  • Proof: Azure Key Vault ensures confidentiality of secrets. GitLab provides secure code storage.

• Integrity (Rating: 8.5/10) ✅

  • Proof: SonarQube and OWASP Dependency-Check maintain code and dependency integrity. Jenkins ensures CI process integrity.

• Availability (Rating: 8/10) 🔄

  • Proof: Kubernetes ensures high availability. Splunk and TheHive provide operational monitoring and incident response, but disaster recovery strategies could be improved.

Scenario: DevSecOps in Advanced Cloud-Based IoT Application Development

1. Project Planning & Threat Modeling 📋

• Tools: Azure DevOps, securiCAD

• Security Control: Security-integrated Agile project management, advanced threat modeling

• Security Rule: "Incorporate detailed security considerations and threat modeling in all project phases."

• Solution: Azure DevOps for task management with security tasks. securiCAD for advanced threat modeling specific to IoT.

• Attacker Technique: T1584.003 (Exploit Public-Facing Application)

2. Secure Coding & Code Review 👨‍💻

• Tools: PyCharm, CodeQL

• Security Control: Secure coding practices, advanced static code analysis

• Security Rule: "All Python code must pass CodeQL security checks before merging."

• Solution: PyCharm for Python development. CodeQL for deep static code analysis and identifying vulnerabilities.

• Attacker Technique: T1195 (Supply Chain Compromise)

• Command/Code:

# CodeQL analysis command
codeql database create mydb --language=python
codeql database analyze mydb python-security-queries.qls --format=sarif-latest --output=results.sarif

3. Version Control & Secret Management 🔐

• Tools: Git, HashiCorp Vault

• Security Control: Secure source code management, enhanced secret protection

• Security Rule: "No hard-coded secrets; use HashiCorp Vault for all secret management."

• Solution: Git for version control. HashiCorp Vault for advanced secret management.

• Attacker Technique: T1552.003 (Credentials from Password Stores)

• Command/Code:

# HashiCorp Vault secret retrieval
vault kv get -field=password secret/my-iot-app/db

4. Continuous Integration & Dependency Scanning 🔄

• Tools: GitHub Actions, Dependabot

• Security Control: CI pipeline security, automated dependency updates

• Security Rule: "Automatically update dependencies and scan for vulnerabilities."

• Solution: GitHub Actions for CI. Dependabot for automated dependency updates and vulnerability scanning.

• Attacker Technique: T1199 (Trusted Relationship)

• Command/Code:

# GitHub Actions workflow for Dependabot
name: Dependabot Auto Merge
on: pull_request
jobs:
  auto-merge:
    runs-on: ubuntu-latest
    steps:
      - name: Merge PRs
        uses: dependabot/fetch-metadata@v1.1.0
        with:
          github-token: "${{ secrets.GITHUB_TOKEN }}"

5. Containerization & Orchestration 📦

• Tools: Docker, Amazon EKS

• Security Control: Secure containerization, cloud-based orchestration

• Security Rule: "Use Docker for containerization and Amazon EKS for orchestration."

• Solution: Docker for containerizing IoT applications. Amazon EKS for cloud-based Kubernetes orchestration.

• Attacker Technique: T1525 (Server Software Component)

• Command/Code:

# Dockerfile for IoT application
FROM python:3.8-slim
COPY . /app
WORKDIR /app
RUN pip install -r requirements.txt
CMD ["python", "app.py"]

6. Monitoring & Incident Response 🚨

• Tools: Datadog, IBM QRadar

• Security Control: Real-time monitoring, advanced incident response

• Security Rule: "Implement comprehensive monitoring and rapid incident response."

• Solution: Datadog for real-time monitoring. IBM QRadar for advanced SIEM and incident response.

• Attacker Technique: T1592 (Gather Victim Network Information)

• Command/Code:

# Datadog configuration for IoT monitoring
logs:
  - type: file
    path: /var/log/iot-app.log
    service: iot-app
    source: python

7. Compliance & Vulnerability Management 🔍

• Tools: Nessus, AWS Security Hub

• Security Control: Regular vulnerability assessments, centralized security insights

• Security Rule: "Conduct regular vulnerability scans and review AWS Security Hub insights."

• Solution: Nessus for comprehensive vulnerability scanning. AWS Security Hub for centralized security insights and compliance checks.

• Attacker Technique: T1595 (Active Scanning)

• Command/Code:

# Nessus scan initiation command
nessuscli scan new --template "advanced" --name "IoT App Scan" --targets "iot-app.example.com"

Textual System Diagram

[Team] --plan & threat model--> [Azure DevOps & securiCAD] 📋
    |
    | (1) Project Planning & Threat Modeling
    v
[Developers] --code & review--> [PyCharm & CodeQL] 👨‍💻
    |
    | (2) Secure Coding & Code Review
    v
[Code Repository] --version control & secrets--> [Git & HashiCorp Vault] 🔐
    |
    | (3) SCM & Secret Management
    v
[Git] --CI pipeline--> [GitHub Actions & Dependabot] 🔄
    |
    | (4) CI & Dependency Scanning
    v
[GitHub Actions] --containerize & orchestrate--> [Docker & Amazon EKS] 📦
    |
    | (5) Containerization & Orchestration
    v
[Amazon EKS] --monitor & respond--> [Datadog & IBM QRadar] 🚨
    |
    | (6) Monitoring & Incident Response
    v
[Operational Environment] --compliance & assessment--> [Nessus & AWS Security Hub] 🔍
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10) 🔒

  • Proof: HashiCorp Vault ensures the confidentiality of secrets. Git provides secure code storage.

• Integrity (Rating: 9/10) ✅

  • Proof: CodeQL and Dependabot maintain code and dependency integrity. GitHub Actions ensures CI process integrity.

• Availability (Rating: 8.5/10) 🔄

  • Proof: Amazon EKS ensures high availability. Datadog and IBM QRadar provide comprehensive monitoring and incident response.

Scenario: DevSecOps in a Cloud-Based Payment Processing System

1. Project Planning & Risk Assessment 📈

• Tools: ClickUp, ThreatModeler

• Security Control: Agile project management with integrated security tasks, automated threat modeling

• Security Rule: "Incorporate security risk assessments in all project phases."

• Solution: Use ClickUp for sprint planning with security tasks. ThreatModeler for automated threat modeling.

• Attack Simulation: N/A (Planning tools do not involve attack simulations)

2. Secure Development & Code Analysis 👨‍💻

• Tools: Visual Studio Code, SonarCloud

• Security Control: Secure coding practices, static code analysis

• Security Rule: "All code must pass SonarCloud analysis before merging."

• Solution: Visual Studio Code for development. SonarCloud for static code analysis.

• Command/Code:

# SonarCloud analysis command
sonar-scanner \
  -Dsonar.projectKey=payment_system \
  -Dsonar.organization=myorganization \
  -Dsonar.sources=. \
  -Dsonar.host.url=https://sonarcloud.io

Attack Simulation: SQL Injection Attack

SELECT * FROM users WHERE username = 'admin' --' AND password = 'password';

3. Version Control & Secret Management 🔐

• Tools: GitHub, AWS Secrets Manager

• Security Control: Secure source code management, secret protection

• Security Rule: "No hard-coded secrets; use AWS Secrets Manager for all secrets."

• Solution: GitHub for version control. AWS Secrets Manager for secret management.

• Command/Code:

# AWS Secrets Manager secret retrieval
aws secretsmanager get-secret-value --secret-id /payment/apikey

Attack Simulation: Git Repository Secrets Leak

git log -p -G 'password|apikey'

4. Continuous Integration & Dependency Scanning 🔄

• Tools: Jenkins, OWASP Dependency-Check

• Security Control: CI pipeline security, open-source vulnerability scanning

• Security Rule: "Scan all dependencies for vulnerabilities in each CI build."

• Solution: Jenkins for CI, integrating OWASP Dependency-Check.

• Command/Code:

// Jenkins pipeline stage for OWASP Dependency-Check
pipeline {
  agent any
  stages {
    stage('Dependency Check') {
      steps {
        sh 'dependency-check --project "Payment System" --scan ./src --out .'
      }
    }
  }
}

Attack Simulation: Dependency Confusion Attack

npm install fake-payment-sdk@latest

5. Containerization & Orchestration 📦

• Tools: Docker, Kubernetes

• Security Control: Secure containerization, cloud-based orchestration

• Security Rule: "Use Docker for containerization and Kubernetes for orchestration."

• Solution: Docker for containerizing the application. Kubernetes for managing container deployment.

• Command/Code:

# Dockerfile for the payment system
FROM node:14
WORKDIR /app
COPY package.json .
RUN npm install
COPY . .
CMD ["node", "server.js"]

Attack Simulation: Container Escape Attack

docker run -v /:/host --rm -it alpine chroot /host

6. Monitoring & Incident Response 🚨

• Tools: Prometheus, Grafana, ELK Stack

• Security Control: Real-time monitoring, alerting, and incident management

• Security Rule: "Implement comprehensive monitoring and incident response."

• Solution: Prometheus and Grafana for monitoring. ELK Stack for log management.

• Command/Code:

# Prometheus configuration for monitoring
global:
  scrape_interval: 15s
scrape_configs:
  - job_name: 'payment-service'
    static_configs:
      - targets: ['localhost:9090']

Attack Simulation: DDoS Attack Simulation

ab -n 10000 -c 100 http://payment-service.example.com/

7. Compliance & Vulnerability Management 🔍

• Tools: Nessus, AWS Config

• Security Control: Regular vulnerability assessments, compliance monitoring

• Security Rule: "Regularly assess vulnerabilities and ensure compliance."

• Solution: Nessus for vulnerability scanning. AWS Config for compliance monitoring.

• Command/Code:

# Nessus scan initiation command
nessuscli scan new --template "advanced" --name "Payment System Scan" --targets "service.example.com"

Attack Simulation: Vulnerability Exploitation

searchsploit [vulnerability details from Nessus scan]

Textual System Diagram

[Team] --plan & model--> [ClickUp & ThreatModeler] 📈
    |
    | (1) Project Planning & Risk Assessment
    v
[Developers] --develop & analyze--> [VS Code & SonarCloud] 👨‍💻
    |
    | (2) Secure Development & Code Analysis
    v
[Code Repository] --version control & secrets--> [GitHub & AWS Secrets Manager] 🔐
    |
    | (3) Version Control & Secret Management
    v
[GitHub] --CI pipeline--> [Jenkins & OWASP Dependency-Check] 🔄
    |
    | (4) Continuous Integration & Dependency Scanning
    v
[Jenkins] --containerize & orchestrate--> [Docker & Kubernetes] 📦
    |
    | (5) Containerization & Orchestration
    v
[Kubernetes] --monitor & respond--> [Prometheus, Grafana & ELK Stack] 🚨
    |
    | (6) Monitoring & Incident Response
    v
[Operational Environment] --compliance & assessment--> [Nessus & AWS Config] 🔍
    |
    | (7) Compliance & Vulnerability Management
    v
[Feedback] --back to planning--> [Team]

CIA Triangle for Compliance

• Confidentiality (Rating: 9/10) 🔒

  • Proof: AWS Secrets Manager ensures the confidentiality of secrets. GitHub provides secure code storage.

• Integrity (Rating: 9/10) ✅

  • Proof: SonarCloud and OWASP Dependency-Check maintain code and dependency integrity. Jenkins ensures CI process integrity.

• Availability (Rating: 8.5/10) 🔄

  • Proof: Kubernetes ensures high availability. Prometheus, Grafana, and ELK Stack provide comprehensive monitoring.