Secure Software Delivery With DevSecOps
Outline

Secure Software Delivery with DevSecOps (2 days)

This intermediate-level course provides engineers with a practical, systems-level understanding of secure software delivery in modern environments. Framed around DevSecOps and real-world breach scenarios, the course walks through the entire software lifecycle — from development to production and incident response — highlighting security controls, common attack vectors, and defensive strategies in CI/CD, cloud, and Kubernetes environments.

Prerequisites

  • Experience in software development using languages such as Java, C, C++, Python, or Fortran
  • Basic familiarity with CI/CD pipelines
  • Awareness of cloud or container technologies is beneficial but not required

Contents

Modern Breaches and the DevSecOps Mindset

  • Understanding how modern software supply chain attacks occur
  • Common post-breach findings in CI/CD and cloud environments
  • Defence-in-depth and zero trust principles
  • Mapping the software delivery lifecycle as an attack surface

Secure Coding and OWASP Principles

  • Introduction to OWASP Top 10 risks and their real-world impact
  • Language-specific security risks (Java deserialization, C/C++ memory safety, Python dependency risks)
  • Input validation, authentication, and secure session handling
  • Managing third-party dependencies and reducing supply chain risk

CI/CD Pipeline Security

  • Hardening Jenkins and Harness pipelines
  • Securing build agents and preventing credential leakage
  • Static analysis (SAST), Software Composition Analysis (SCA), and interpreting SonarQube alerts effectively
  • Artifact signing, SBOM generation, and trusted builds

Secrets Management and Identity in Hybrid Environments

  • Principle of least privilege in developer and service accounts
  • Managing secrets securely in CI/CD and cloud platforms
  • IAM models in cloud environments
  • Preventing token abuse and credential sprawl

Cloud and Kubernetes Security Fundamentals

  • Shared responsibility model in cloud environments
  • Container image security and vulnerability scanning
  • Kubernetes RBAC, network policies, and namespace isolation
  • Securing Kubernetes secrets and configuration
  • Runtime protection and pod-level security controls

Threat Modelling and Risk-Based Prioritisation

  • Applying threat modelling techniques (e.g., STRIDE) to real architectures
  • Identifying trust boundaries and attack paths
  • Understanding CVSS vs business risk
  • Prioritising vulnerabilities from SonarQube and scanners effectively

Detection Engineering and SIEM Awareness

  • What logs matter in applications and CI/CD environments
  • Recognising indicators of compromise
  • Integrating application telemetry with SIEM platforms
  • Designing software for observability and forensic readiness

Vulnerability Testing and Security Assessments

  • Understanding Static Application Security Testing (SAST) for identifying vulnerabilities in source code without executing the application
  • Understanding Dynamic Application Security Testing (DAST) for identifying vulnerabilities in running applications through simulated attacks
  • Understanding Software Composition Analysis (SCA) for analyzing third-party dependencies and identifying known vulnerabilities in libraries
  • Understanding container scanning for detecting vulnerabilities and security issues in container images
  • Fuzz testing and memory safety testing for compiled languages
  • Security architecture reviews and pre-release assessments
  • Working effectively with penetration testers

Incident Response for Engineers

  • The engineer’s role during a security incident
  • Containment strategies in CI/CD
  • Forensic considerations and log preservation
  • Post-incident learning and improving pipeline resilience

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Accreditations:

Our team are AWS Professional Certified Solutions  ArchitectsOur team are AWS Devops Specialty CertifiedAltova Training PartnerAltova Consulting PartnerOur team members are Professional Scrum master certified
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