DevSecOps Basics: Your First Steps From DevOps to DevSecOps

Learn how DevSecOps integrates security into the software development life cycle to reduce costs, speed time to market, and ensure PCI DSS, XRP for privacy, and HIPAA compliance.

Adopt shift-left security to embed threat modeling, secure coding training, and automated testing in ci/cd, reducing post-deployment risks and security fixes by up to 50%.

Explore how DevSecOps integrates security into every phase of the software development life cycle, from planning and threat modeling to secure coding, building, testing, deployment, and continuous monitoring.

Integrate security from the start to reduce risks, improve product quality, and boost team agility through early intervention, secure coding, and DevSecOps practices.

Explore key DevSecOps principles that embed security across the development lifecycle, foster shared responsibility, and integrate automated tests (SAST, DAST, CSA) for proactive, continuous automation.

Explore the fundamentals of version control systems, from central to distributed models, and learn how they support code integrity, collaboration, and security in DevSecOps.

Create a GitHub version control account, verify with a launch code, and configure features like collaborative coding, automation, CI, CD security, and project management.

Install git on Windows and Ubuntu, choosing a standalone installer or portable option for Windows and using apt or yum on Linux. Configure the editor, environment, and credentials for setup.

Configure git establishes your identity with git config, generates an ssh key, adds it to GitHub, and creates a config for secure push and pull to private repositories.

Learn to create a private GitHub repository, clone via SSH, and perform an initial commit with a readme. Then push to the main branch and update files with subsequent commits.

Mastering git covers distributed version control, commits and messages, staging area, pushing to remote like GitHub, branching with git flow, and resolving merge conflicts.

Master branching fundamentals in git for devops and devsecops workflows by cloning a private GitHub repo, creating feature branches with git checkout -b, and pushing for pull requests.

Explore how to encounter and resolve merge conflicts in git within a DevOps DevSecOps workflow, by simulating conflict branches A and B and merging into main.

Explore pull requests and reviews by simulating a PR, inviting collaborators, and switching branches. Follow the review cycle from code comments to approvals and merging into main.

Protect the main branch with GitHub branch protection rules, enforcing pull requests, required approvals, status checks, up-to-date branches, and resolved conversations to ensure stable, secure development.

Learn how to convert a private repository to public in this demonstration, and see how making the repository public enables branch protection rules that were unavailable in private mode.

Explore the CI/CD foundation of DevSecOps, including automation, pipelines, and artifacts, and see how continuous integration, delivery, and deployment enable secure, rapid software releases.

Set up a practical CI/CD pipeline with GitHub Actions, creating an automated workflow that runs on every push and executes a Python hello.py to demonstrate continuous integration and deployment.

Set up a GitHub Actions workflow to automatically lint Python code with Flake8 and run pytest unit tests on pull requests against the main branch.

Create a Python unit testing workflow in GitHub Actions, running on Ubuntu latest for pull requests, with checkout, setup Python, install pytest, and run pytest in the tests directory.

Integrate security across the development life cycle using CI/CD workflows that automate vulnerability detection, with SAST, SCA, DAST, and container scanning for secure delivery.

Learn to integrate snake with GitHub Actions to scan Python dependencies for vulnerabilities, manage api keys via secrets, and automate security checks in your ci cd pipeline.

Learn how to use bandit to identify security vulnerabilities in Python code, integrate it into a development workflow with branch setup, YAML safe_load, and GitHub actions for security checks.

Detect secrets in your codebase with a GitHub Actions secret scanner workflow. Create a dotenv file, establish a secrets baseline, rotate exposed keys, and keep projects secure.

Learn to automate Docker CI/CD with GitHub Actions, building and pushing images to AWS ECR. Run linting and vulnerability scanning with Treev to ensure secure deployments.

Learn to build and push a Docker image to AWS ECR using GitHub actions, in a complete CI/CD pipeline with tests, linting, and vulnerability checks.

Explore threat modeling in DevSecOps to identify threats, assets, and attack vectors early in development. Prioritize risks, design controls, and visualize threats with models and attack trees to secure applications.

Explore the stride threat model and its six categories—spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege—and how it integrates with DevSecOps to safeguard the CIA triad.

Explore pasta, a seven-stage threat analysis and threat modeling method for attack simulation in devsecops, aligning security with business objectives and risk management in sdlc.

Learn to use the dread threat modeling method to assess and prioritize software security threats in devsecops by evaluating damage, reproducibility, exploitability, affected users, and discoverability.

Attack trees are a threat modeling tool that visually map attacker goals and root nodes to attack paths, techniques, and vulnerabilities for risk assessment and defense planning.

Learn secure coding fundamentals by minimizing the attack surface and enforcing least privilege. Validate inputs, adopt secure defaults, and address OWASP vulnerabilities to prevent breaches.

SQL injection vulnerabilities are demonstrated in a Node.js Express app using MySQL, showing how unsanitized input manipulates queries and how parameterized queries and static application security testing tools prevent it.

Explore injection flaws through insecure password handling and plain-text login, then prevent them with environment-based secrets, hashing, and secure transmission practices.

Learn cross-site scripting (XSS) and its impact, including how attackers inject malicious scripts into trusted websites, and how to sanitize input to prevent reflective vulnerabilities.

Explore how infrastructure as code replaces manual provisioning with script-driven automation using Terraform and Ansible, delivering faster, reproducible, version-controlled deployments with improved consistency and collaboration.

Explore platform, infrastructure, and configuration management through infrastructure as code, covering Kubernetes, containers, Helm charts, and tools like Terraform and Ansible for reliable deployments.

Explore security in infrastructure as code by identifying misconfigurations, secret management with vault, and RBAC controls; enforce immutable infrastructure, automated tests, drift detection, auditing, and compliance as code.

Compare push and pull based configuration management systems and their security implications, including access controls, encrypted data with Ansible vault, and SSL-based node authentication in Puppet.

Automate golden image creation with Packer and Ansible to ensure consistent, secure deployment environments in DevSecOps, reducing drift and enabling rapid compliance and incident response.

Create secure golden images using Packer and Ansible, configure a base AWS AMI, and provision with an Ansible playbook that installs nginx and Python.

Build secure golden images with Packer and Ansible, applying CIS Ubuntu benchmarks, hardening with /etc/passwd permissions, disabling unused file systems, and PAM password policy for robust DevSecOps deployments on AWS.

Automate secure golden image creation with packer and ansible, orchestrated by GitHub actions to keep AWS AMIs up to date with CIS benchmarks.

Automate compliance as code within your devsecops pipeline by using Puppet configuration management and Inspec/OpenSCAP checks to enforce security policies, OpenSSH server presence, auditable configurations, and continuous validation.

Learn to write Inspec compliance rules to validate nginx and Python three installation, ensure nginx runs and is enabled, check file permissions, and enforce security policies for DevSecOps.

Integrate InSpec rules into a Packer pipeline to automate testing of a golden image, including copying the profile, installing InSpec, and validating tests pass on the EC2 instance.