GitHub Advanced Security Technology Syllabus
Code scanning, CodeQL, secret scanning, dependency security, policy and remediation workflow. A structured learning blueprint for students and working engineers.
Who Is This For
- Developers, AppSec engineers and DevSecOps teams
- Security professionals comparing technologies before choosing a specialization
- Teams creating an internal enablement, migration or operations plan
Prerequisites
- Git, GitHub, software-development and CI/CD basics
- Comfort reading technical diagrams, logs and policy decisions
- Access to a vendor tenant or lab is helpful but not assumed by this published syllabus
Full Technology Syllabus — 12 Modules
M 1GitHub security architecture and repository trust
- Explain GitHub security architecture and repository trust using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: map the components, identities, data paths and trust boundaries for GitHub security architecture and repository trust
- Evidence: produce an annotated architecture diagram and explain the validation result
M 2Organization and repository security policy
- Explain Organization and repository security policy using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: compare a baseline design with a risky or incomplete design for Organization and repository security policy
- Evidence: produce a design decision record and explain the validation result
M 3Dependency graph, Dependabot and dependency review
- Explain Dependency graph, Dependabot and dependency review using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: trace one permitted and one denied access decision for Dependency graph, Dependabot and dependency review
- Evidence: produce an access-flow worksheet and explain the validation result
M 4Secret scanning and push protection
- Explain Secret scanning and push protection using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: plan a least-privilege configuration and a safe rollout sequence for Secret scanning and push protection
- Evidence: produce a change plan with rollback steps and explain the validation result
M 5Code scanning and default setup
- Explain Code scanning and default setup using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: review policy order, dependencies, exceptions and rollback conditions for Code scanning and default setup
- Evidence: produce a policy review checklist and explain the validation result
M 6CodeQL concepts, queries and analysis databases
- Explain CodeQL concepts, queries and analysis databases using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: configure or assess the control with secure defaults for CodeQL concepts, queries and analysis databases
- Evidence: produce a configuration evidence sheet and explain the validation result
M 7Custom patterns and detection tuning
- Explain Custom patterns and detection tuning using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: test expected and unexpected behavior against explicit pass criteria for Custom patterns and detection tuning
- Evidence: produce a pass/fail validation record and explain the validation result
M 8Pull-request security gates and developer workflow
- Explain Pull-request security gates and developer workflow using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: locate the relevant telemetry and build an investigation timeline for Pull-request security gates and developer workflow
- Evidence: produce an investigation timeline and explain the validation result
M 9Security campaigns and remediation ownership
- Explain Security campaigns and remediation ownership using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: triage a realistic finding and separate risk from expected activity for Security campaigns and remediation ownership
- Evidence: produce a triage note with severity rationale and explain the validation result
M 10Security overview, metrics and programme governance
- Explain Security overview, metrics and programme governance using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: tune a noisy control without removing required visibility for Security overview, metrics and programme governance
- Evidence: produce a tuning record with before-and-after evidence and explain the validation result
M 11APIs, automation and exception handling
- Explain APIs, automation and exception handling using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: troubleshoot a production-style failure using an evidence-first workflow for APIs, automation and exception handling
- Evidence: produce a troubleshooting runbook entry and explain the validation result
M 12Secure repository capstone
- Explain Secure repository capstone using current GitHub terminology and connect it to the GitHub Advanced Security architecture
- Practice: combine design, validation, operations and handover in the capstone for Secure repository capstone
- Evidence: produce a concise capstone handover and portfolio artifact and explain the validation result
Practice Blueprint
Architecture and trust-boundary mapping
Map components, identities, data paths and trust boundaries.
Guided configuration and policy review
Build and review a safe configuration or policy change.
Alert, log or finding investigation
Use logs, findings or alerts to make an evidence-based decision.
Troubleshooting and operational capstone
Combine design, validation, tuning and handover into one scenario.
Learning Outcomes
- Explain the GitHub Advanced Security architecture and its security control points
- Design a safe configuration and policy workflow for GitHub Advanced Security
- Use platform evidence to investigate, tune and troubleshoot
- Document decisions, risks, validation evidence and next actions
Official Reference Set
This learning path uses vendor documentation as the source of truth and connects practical work to current workforce and control frameworks.
FAQ
Q 1Is a live batch currently scheduled?
This is a published technology learning blueprint. Contact Techclick to confirm current trainer availability, delivery format, schedule, lab access and pricing before making a decision.
Q 2Does this promise vendor certification?
No. Vendor certification programmes and exam blueprints change independently. This syllabus focuses on practical technology skills and official documentation.
Q 3Can Techclick customize this for a team?
Yes, subject to trainer and lab availability. Share your existing environment, target outcomes and preferred timeline for a scoped discussion.
Need a GitHub Advanced Security learning path?
Share your role, current experience and desired outcome. Techclick will confirm whether a suitable batch or custom workshop is available.