In this episode, we explore the explosive growth of the DevSecOps market, which is projected to reach between USD 8.58 billion and USD 10.88 billion by 2026. Driven by cloud-native transitions, AI integration, and intensifying regulatory pressures, the industry is witnessing a compound annual growth rate (CAGR) of up to 22.10%.

Course Page:

https://www.practical-devsecops.com/certified-devsecops-professional/

What You’ll Learn in This Episode:

• The Financial Landscape: Why DevSecOps engineering has become a high-demand career with massive salary potential. We break down the 2026 salary benchmarks, where entry-level roles average $100,000 and senior-level experts earn up to $210,000.

• The Rise of AI & Emerging Threats: How AI-generated code is expanding attack surfaces and why 75% of organizations are now using or planning to use AI/ML bots for code reviews.

• Skills That Move the Needle: Discover the high-value expertise in Kubernetes security, Terraform, Infrastructure as Code (IaC), and CI/CD automation that can lift your pay by 20-40% over traditional roles.

• Market Dynamics: A look at why North America holds a dominant 36.5% market share, fueled by federal SBOM mandates, while the Asia-Pacific region emerges as the fastest-growing market with a 22.7% CAGR.

Deep Dive into Education & Certification:

We discuss the critical importance of specialized training to stay competitive. The sources highlight essential certifications like the Certified DevSecOps Professional (CDP), which focuses on securing the SDLC, and the Certified AI Security Professional (CAISP), covering the OWASP Top 10 for LLMs and MITRE ATLAS defenses. We also examine the role of Certified Cloud Native Security Experts (CCNSE) and Threat Modeling Professionals (CTMP) in building resilient, "shift-smart" workflows.

Strategic Insights for 2026:

• The Speed vs. Risk Tradeoff: Why nearly half of development teams still deploy vulnerable code under time pressure despite achieving 60% faster release cycles.

• Vulnerability Trends: An analysis of why infrequently deployed services have 47% more outdated dependencies, often leaving them vulnerable to unpatchable CVEs.

• The Shift to Managed Services: Why organizations are increasingly turning to managed services for AI tuning and red-teaming support.

Whether you are looking to break into the field or are a seasoned professional aiming for the top 1% of cybersecurity engineers, this episode provides the research-backed insights and practical roadmaps needed to navigate the 2026 DevSecOps landscape.

Tune in to learn how to integrate security into every stage of your workflow and secure your place in this multi-billion dollar industry.

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https://www.youtube.com/@PracticalDevSecOps
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In this episode, we dive deep into one of the most pressing financial and security threats facing organizations in 2026:

Featured Resource: If you are responsible for securing AI infrastructure, this episode highlights the technical controls covered in the Certified AI Security Professional (CAISP) course, which includes hands-on labs for defending against the OWASP Top 10 LLM vulnerabilities and mastering the MITRE ATLAS framework.

LLM Jacking. While many security discussions focus on prompt injection or model poisoning, LLM jacking is a different beast entirely—it is a direct infrastructure compromise where attackers hijack your cloud credentials to consume your expensive AI resources.

A single hijacked Large Language Model can cost an organization over $46,000 a day in fraudulent charges. We break down why this has moved from a theoretical risk to a daily reality for security architects and AI developers.

In this episode, we cover:

• Defining the Threat: Understand why LLM jacking is an infrastructure failure, distinct from model manipulation like prompt injection.

• The 3-Stage Anatomy of an Attack: We trace the attacker’s journey from the Initial Compromise (often through leaked API keys or unpatched software) to Discovery and Weaponization, where stolen access is sold or used to generate malicious content.

• The "Smoking Gun": Learn the technical indicators of compromise (IoCs), such as specific ValidationException errors in AWS Bedrock or unusual geographic spikes in API traffic.

• Real-World Case Study: We examine a fintech startup’s nightmare scenario—how a single static AWS key committed to GitHub led to a 700% cost overrun in just two weeks.

• Defense & Incident Response: From architecting Zero Trust AI pipelines to a 15-minute containment playbook, we provide actionable strategies to protect your environment.

• The Future of AI Security: Why the rising cost of model inference and the move toward proprietary, fine-tuned models make AI infrastructure a high-value target for 2026 and beyond.

Tune in to learn how to ensure security is a foundational part of your AI strategy, rather than a costly afterthought.

https://www.linkedin.com/company/practical-devsecops/
https://www.youtube.com/@PracticalDevSecOps
https://twitter.com/pdevsecops

In this episode, we explore the remarkable career transformation of Hiroshi Tanaka, a security veteran with 15 years of experience in offensive security, penetration testing, and red team operations.

Despite his extensive background in a Fortune 500 company, Hiroshi realised that his ability to "break things" was no longer sufficient as his organisation transitioned towards DevOps and cloud-native development.

He shares his candid journey of overcoming the fear of becoming "irrelevant" and the challenge of preventing vulnerabilities during development rather than just finding them in production. We dive deep into the solution that changed his career trajectory: the Certified DevSecOps Professional (CDP) programme.

Key Discussion Points:

• The 60-Day Pivot: How Hiroshi transitioned from offensive security to a secure SDLC mindset through 100+ hands-on labs covering CI/CD integration, SCA, SAST, and DAST.

• Infrastructure-as-Code (IaC): Mastering the security of automated pipelines using tools like Jenkins, GitLab CI, Ansible, and Terraform.

• Tangible Results: Within 30 days of his certification, Hiroshi automated security scanning that caught 23 high-severity vulnerabilities before they reached production—issues that previously would not have been caught for months.

• The Professional ROI: The business impact of reducing deployment delays from two weeks to two days and how this pivot led to a promotion to AppSec Lead with a 40% salary increase.

Hiroshi explains how gaining technical credibility allowed him to speak the "same language" as DevOps teams, shifting his role from a quarterly auditor to a key player embedded in sprint planning.

Looking Forward: We also touch upon emerging trends for 2026, including the necessity of securing AI supply chains and data pipelines through certifications like the Certified AI Security Professional (CAISP).

Whether you are looking to master Kubernetes security, API security, or Threat Modeling, this episode serves as a comprehensive guide for any security professional or developer looking to upgrade their career and join the top 1% of cybersecurity engineers.

https://www.linkedin.com/company/practical-devsecops/
https://www.youtube.com/@PracticalDevSecOps
https://twitter.com/pdevsecops