
DevSecOps Masterclass for Gaming Studios Embedding Security
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With DevSecOps Masterclass for Gaming Studios Embedding Security, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 20h 33m | Size: 928.39 MB
From a leaky CI pipeline to a signed, scanned, sovereign release process — built entirely in GitHub Actions.
What you'll learn
Architect a full security control plane inside GitHub Actions — branch protection, CODEOWNERS, least-privilege tokens, and reusable security workflows.
Embed SAST across your codebase and your pipeline itself with CodeQL and Semgrep, including custom rules for gaming-specific risks.
Detect and rotate exposed credentials with Gitleaks, pre-commit hooks, and a documented secret-rotation runbook, then eliminate long-lived cloud keys.
Engineer full dependency and supply-chain security — OSV-Scanner, Dependabot, CycloneDX/SPDX SBOMs, Grype scanning, license policy.
Harden containerized game services — multi-stage Dockerfiles, non-root runtime, Trivy image and config scanning, and SARIF-based findings surfaced directly.
Deploy securely to Kubernetes with hardened security contexts, resource limits, OPA/Conftest policy-as-code, GitOps design via Argo CD, and Falco-based runtime.
Orchestrate scanners into one coherent system — severity policy, warn-only rollout for new tools, PR step summaries, and evidence bundle.
Govern player data and AI-assisted workflows — data classification, privacy-by-design telemetry rules, GDPR/DORA/NIS2/EU AI Act-aware compliance mapping.
Design for sovereignty — region-aware deployment matrices, data residency boundaries, and a sovereign release checklist that ties every release to jurisdiction.
Deliver a capstone-grade Secure Gaming Studio Release Control Plane — a portfolio repository with real branch protection, real scanner output, real SBOMs.
Requirements
Knowledge: Basic Git usage (clone, commit, push, branch). No prior DevSecOps, security, or CI/CD experience required — every lab builds from a pre-flight check up. Basic familiarity with any programming language helps (the course uses a small Node.js API and C# placeholder), but you don't need to know either language deeply — every script is explained before you run it. No prior GitHub Actions experience needed; Module 1 builds your first workflow from scratch. Software (all free/open-source): Git, Docker, GitHub CLI (gh), Node.js LTS. A free GitHub account with Actions enabled (used extensively — this course lives inside real GitHub Actions workflows, not simulations). Open-source security tooling used via Docker containers or GitHub Actions: CodeQL, Semgrep, Gitleaks, OSV-Scanner, Trivy, Syft, Grype, Checkov, OPA/Conftest, Cosign — no licenses or paid accounts required. Optional for Module 8: kind and kubectl for local Kubernetes labs — a lightweight local cluster, not a cloud account. Hardware: 15GB+ free disk space, 8GB+ RAM recommended (Docker containers for multiple scanners plus an optional local Kubernetes cluster). No real game codebase, no production infrastructure, and no cloud account required — every lab builds a small, safe, synthetic game-service repository from Lab 2 onward.
Description
This course contains the use of artificial intelligence.
We only charge a fee solely for the time invested in building this comprehensive curriculum.
The "We'll Bolt On Security Before Launch" Problem
Game studios ship faster than almost any other software category — live-ops updates, weekly patches, seasonal content, and a CI/CD pipeline under constant pressure. That speed is exactly why security keeps getting deferred to "after launch," until a leaked signing key, a poisoned dependency, or an exposed debug endpoint turns into a real incident. A compromised GitHub Actions workflow can leak build artifacts, cloud credentials, or package tokens before anyone notices — and by the time security shows up as a manual end-of-cycle audit, it's already too late to be anything but a bottleneck.
The fix isn't "add more scanners." It's treating your CI/CD pipeline itself as a first-class security architecture: least-privilege tokens, pinned actions, branch protection, layered scanning, evidence retention, and exception governance — all embedded directly into the pull-request workflow developers already use. This course builds exactly that, lab by lab, entirely inside real GitHub Actions.
The Solution: 100 Labs, One Real GitHub Repository
Every lab in this course happens inside an actual GitHub repository you create and push to — not a simulation. Pre-flight checks, Git branch safety nets, and documented rollback steps mean you can experiment freely. By Lab 10 you'll have a working game-service API, a passing GitHub Actions CI run, branch protection, and your first pull request flowing through real required checks. Everything after that adds real production depth.
What's Inside
-Modules 1–2 establish the foundation: a minimal game-service repository, your first GitHub Actions CI workflow, branch protection with required status checks, CODEOWNERS for security-sensitive paths, and — critically — the pipeline hardening most courses skip entirely: least-privilege token permissions, actionlint syntax checking, a documented workflow threat model, safe shell scripting, and concurrency controls that prevent a compromised or buggy workflow from becoming an attack surface itself.
-Module 3 embeds SAST properly: CodeQL for jаvascript/TypeScript, Semgrep with OWASP Top Ten rule packs, and — this is where it gets gaming-specific — custom Semgrep rules for exposed debug endpoints and client-authoritative economy logic (the exact pattern that lets a hacked game client "grant itself" items instead of trusting the server).
-Module 4 locks down secrets and identity: Gitleaks scanning with a safe fake-secret validation test, pre-commit hooks, a secret-rotation runbook, GitHub OIDC design to eliminate long-lived cloud keys entirely, and protected production environments with required reviewers.
-Module 5 builds full supply-chain visibility: OSV-Scanner and Dependabot for npm, CycloneDX and SPDX SBOM generation with Syft, Grype vulnerability scanning against those SBOMs, a license policy baseline, and a dependency-review gate on every pull request.
-Module 6 hardens the actual game service artifact: multi-stage, non-root Dockerfiles with health checks, Trivy image and configuration scanning with SARIF output straight into GitHub's Security tab, container SBOMs, and a documented Cosign keyless-signing design tied to workflow identity.
-Module 7 extends the same rigor into infrastructure: OpenTofu IaC skeletons, Checkov scanning, and custom OPA/Rego policies tested with Conftest — including a required-tags policy with both failing and passing fixtures, so you learn to prove your policy actually works both ways.
-Module 8 deploys to Kubernetes the hard way: hardened security contexts, resource limits, non-root admission policy, a real local Kind cluster, Argo CD GitOps design, and Falco-based runtime detection design for catching what static scans can never see.
-Module 9 is the orchestration layer most courses never build: a unified security workflow combining every scanner, GitHub Step Summaries for fast developer feedback, a normalized severity policy with warn-only rollout for new tools, evidence bundle generation and upload, vulnerability SLA rules, and a developer remediation guide that turns alert fatigue into actionable fixes.
-Module 10 closes with governance most security courses never touch: player data classification, privacy-by-design telemetry rules, a region-aware sovereign deployment matrix, AI-assisted workflow safety rules for agentic tooling with repo access, and a full GDPR/DORA/NIS2/EU AI Act-aware compliance evidence map.
The Climax: Lab 100 — The Secure Gaming Studio Release Control Plane
Lab 100 is a real pull request against a real repository, running every scanner you've built — CodeQL, Semgrep, Gitleaks, OSV, Trivy, Checkov, Conftest — producing a real SBOM, a real evidence bundle, and a documented, defensible architecture that traces every control back to a compliance expectation. This isn't a certificate exercise. It's a portfolio-grade GitHub repository demonstrating that you can design and operate a full release control plane, not just run individual tools.
Why Enroll Now
DevSecOps for gaming is a specific, underserved niche: most security courses use generic web examples that miss game clients, patch cadence, live-ops secrets, and anti-cheat-sensitive workflows entirely. Every tool in this course is free and open-source — CodeQL, Semgrep, Gitleaks, Trivy, Syft, OPA — and every lab happens inside real GitHub Actions, so the pipeline you build is immediately portable to your actual studio's repository. No vendor lock-in, no simulated environment — just a working control plane you can deploy on Monday.
Who this course is for
The Game Studio Developer or DevOps Engineer Handed "Security" as a New Responsibility You ship builds, manage CI, and now leadership wants "security in the pipeline" — but nobody defined what that actually means beyond "add a scanner." This course gives you the exact playbook: which scanners, in what order, with what thresholds, and how to keep developers from hating the process. Every lab uses a real, working GitHub Actions pipeline you build yourself.
The Security Engineer Moving Into DevSecOps/Platform Security You know security principles, but "embed it into CI/CD" often means vague advice online. This course is concretely gaming-specific — client-authoritative economy checks, anti-cheat-sensitive secrets, live-ops release patterns — and takes you all the way from a first GitHub Actions workflow to Kubernetes admission policy and sovereign deployment design.
The Senior Platform/Release Engineering Architect Building a Studio-Wide Control Plane You've run individual scanners for years, but your studio lacks a coherent system: no unified severity policy, no evidence retention, no exception governance, no sovereign deployment story for global player data. This course closes exactly that gap — a full scanner-orchestration layer, an evidence bundle pipeline, a compliance-to-control traceability map, and a capstone architecture you could defend to a studio's security leadership.
Homepage
https://www.udemy.com/course/devsecops-masterclass-for-gaming-studios-embedding-security/
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