The DevSecOps Advanced Learning Path is designed for security-focused DevOps professionals seeking to master advanced security automation, CI/CD hardening, and cloud-native security operations. This course covers deep-dive automated code analysis, AI-driven security enhancements, and robust pre-commit security controls. Participants will explore advanced secrets management, cloud infrastructure security, Kubernetes protection, and compliance automation. The curriculum includes real-world labs, hands-on projects, and red teaming exercises to simulate adversarial conditions. Learners will develop enterprise-grade security solutions, integrate continuous monitoring, and refine postmortem analysis, ensuring a resilient, scalable, and automated security-first DevOps environment.
Explore advanced techniques for automating code analysis and parsing machine-readable security data.
Learn how artificial intelligence (AI) can enhance security automation in the DevOps toolchain.
Examine sophisticated attack vectors targeting CI/CD pipelines and learn robust hardening strategies.
Gain expertise in integrating dynamic scanning and penetration testing automation into the CI/CD process.
Develop advanced strategies for risk assessment, threat modeling, and enforcing mandatory security checks before code commits.
Learn to set up a dedicated security scanning factory to centralize and optimize automated security tests across your CI/CD workflows.
Deepen your understanding of secrets management by integrating advanced solutions like HashiCorp Vault, AWS Secrets Manager, and Azure Key Vault into runtime workflows.
Explore methods for detecting and mitigating risks associated with insecurely stored or managed secrets.
Secure your cloud infrastructure as code (IaC) using tools like Terraform and Checkov, and learn to harden network configurations.
Master the container security lifecycle—including Dockerfile best practices, multi-stage builds, and SBOM generation—to secure container images and their software supply chain.
Dive into advanced security practices for Kubernetes clusters and serverless architectures, including workload identity, admission control, and runtime protection.
Learn how to automate security compliance using tools like Cloud Custodian, and integrate continuous monitoring with CSPM solutions.
Develop skills to create detailed technical reports, including risk analysis and remediation strategies.
Implement advanced postmortem practices to analyze incidents, drive iterative process improvements, and refine security controls.
Work on comprehensive projects that integrate advanced security automation, CI/CD hardening, cloud IaC security, and container supply chain security.
Integrate static analysis (SonarQube, Snyk) to detect vulnerabilities during CI.
Implement AI-driven vulnerability detection tools (e.g., GitHub Copilot Security, DeepCode).
Automate machine-readable reporting (SARIF) and integrate into dashboards.
Set up hardened CI/CD environments (e.g., Jenkins/GitLab) with pipeline security checks.
Integrate pipeline integrity validation (Sigstore, Cosign).
Conduct simulated pipeline attacks and practice defense strategies.
Configure advanced Git pre-commit hooks enforcing code security standards and threat modeling.
Establish a centralized security scanning hub (e.g., Jenkins-based security factory).
Implement automated policy enforcement preventing insecure commits.
Deploy and integrate advanced secrets management tools (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault).
Automate detection of exposed or mismanaged secrets (Git-secrets, TruffleHog).
Mitigate runtime secrets exposure through proactive controls and alerts.
Apply IaC scanning (Checkov, Terrascan) to secure Terraform or CloudFormation templates.
Implement Dockerfile best practices, multi-stage container builds, and SBOM integration.
Automate container vulnerability scanning (Trivy, Clair).
Configure Kubernetes security policies (OPA Gatekeeper, Kyverno) and workload identities.
Deploy runtime protection tools (Falco, Sysdig Secure) within clusters.
Automate compliance monitoring (Cloud Custodian, CSPM solutions).
Conduct realistic security incidents and document comprehensive technical reports.
Perform advanced incident postmortems emphasizing blameless analysis and iterative improvement.
Implement improvements based on insights gained through security incident analysis.
Integrate advanced threat modeling and automated vulnerability management into CI/CD pipelines.
Deploy secure infrastructure and containers using advanced IaC practices and comprehensive secrets management.
Implement real-time continuous security monitoring, alerting, and compliance automation.
Simulate adversarial attacks (Red Teaming), respond effectively, and refine security posture iteratively.
Produce comprehensive documentation, including detailed security controls, incident response strategies, and continuous improvement plans.