Is your API documentation telling the truth? In this episode, we dive into the uncomfortable reality that API documentation is often a "lie" because of the gap between Swagger files and what is actually running in production. We explore how attackers exploit this gap using advanced fuzzing techniques and JWT manipulation, and why a centralised defense strategy using Kong API Gateway is the only way to effectively secure modern microservices.

Key Topics Covered:

The JWT Illusion: We debunk the myth that JSON Web Tokens (JWTs) are inherently secure. Because JWTs are encoded rather than encrypted, anyone who intercepts a token can read its payload in seconds. We discuss how attackers exploit servers that "trust" whatever a token says without a second opinion, leading to unauthorized admin access through signature flaws or "alg: none" exploits.

The Power of API Fuzzing: Learn how attackers use the predictability of REST naming conventions to guess hidden routes. We highlight the use of high-speed tools like ffuf to fire tens of thousands of requests at a server to map out an application's shadow attack surface.

The 405 Signal: Discover the "single most useful technique" in API discovery: the 405 Method Not Allowed response. While many security teams ignore this, it tells an attacker exactly where hidden admin or registration endpoints exist, even if they are unauthorized to access them at that moment.

The Microservice Security Trap: Why writing security logic into every individual microservice is a "losing strategy". We explain how this creates a patchwork of inconsistent controls where one weak, legacy service can compromise the entire perimeter.

Centralising Defense with Kong Gateway: We break down how Kong acts as a gatekeeper, ensuring no request reaches the backend without passing through global security controls. Learn how to use rate limiting to kill automated attacks and the critical importance of disabling direct access to backend server IP addresses.

Featured Experts: This episode draws on a hands-on workshop led by Marudhamaran Gunasekaran, Principal Security Consultant, and insights from Aditya Patni, Security Research Writer at Practical DevSecOps.

Call to Action: Stop relying on optional security suggestions. If you want to build real-world API security skills, check out the Certified API Security Professional (CASP) program, which focuses on hands-on labs rather than multiple-choice theory. You can also watch the full API Security Workshop on the Practical DevSecOps YouTube channel to see these exploits and defenses in action.

Don't let an attacker find your hidden endpoints before you do.

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

n this episode, we tackle the rapidly evolving landscape of artificial intelligence and the critical need for specialized security expertise. As Large Language Models (LLMs) and autonomous agents become integrated into the modern enterprise, they bring a new set of risks, including prompt injection, training data poisoning, and insecure plugin designs.

To help you navigate your career path in this high-demand field, we provide an in-depth comparison of two premier certifications: the Certified AI Security Professional (CAISP) from Practical DevSecOps and the Advanced AI Red Teaming (OSAI) from OffSec.

What You’ll Learn in This Episode:

The Full-Spectrum Defensive Path: We explore why CAISP is the top choice for security engineers, AppSec leads, and DevSecOps professionals. Discover how it covers the full AI security lifecycle, from threat modeling with STRIDE and StrideGPT to securing AI pipelines against "poisoned pipeline" attacks.

The Offensive Specialist Path: We dive into the OffSec OSAI, a certification designed for dedicated Red Teamers. Learn about its focus on adversarial operations, Retrieval Augmented Generation (RAG) abuse, and its grueling 48-hour endurance exam.

Practical Skills for the Real World: We discuss the importance of hands-on experience. CAISP offers browser-based labs that allow you to start practicing immediately, covering essential frameworks like the OWASP LLM Top 10 and MITRE ATLAS.

Career Growth and ROI: Understand the market demand that is driving a 15-20% salary increase for professionals who transition into AI-focused roles. We also explain how digital badges from platforms like Credly can help you prove your expertise to hiring managers.

The Ultimate Comparison: We break down the key differences in exam styles—CAISP’s 6-hour practical challenge versus OSAI’s 48-hour red team engagement—to help you decide which path aligns with your professional goals.

Which Certification is Right for You? Whether you are looking to build and defend production AI systems or specialize in high-level offensive exploitation, this episode provides the roadmap you need to stay relevant. CAISP is the industry favourite for those needing versatile, job-aligned skills to manage supply chain risks with AIBOMs and model signing, while OSAI is the definitive choice for full-time penetration testers.

Join us as we break down the complexities of AI security and help you take the next step in your cybersecurity journey.

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

In this episode, we dive deep into the SLSA (Supply-chain Levels for Software Artifacts) framework, the definitive standard for securing your software supply chain. With software supply chain attacks increasing by 742% between 2019 and 2022, understanding frameworks like SLSA—pronounced "salsa"—is no longer optional; it is an operational reality.

We explore the origins of SLSA, which began at Google as "Binary Authorization for Borg" before being contributed to the Open Source Security Foundation (OpenSSF) in 2021. We break down what SLSA provides: a common vocabulary for security maturity, verifiable provenance metadata, and incremental security levels that align with NIST SSDF and EO 14028 requirements.

Join us as we dissect the four SLSA security levels, from Level 0 (the default state of no provenance) to Level 3, which mandates hardened builds with isolated and ephemeral environments. We discuss how these Level 3 protections could have potentially stopped major breaches like the SolarWinds attack by preventing persistent access to build environments and isolating signing keys. We also touch on other high-profile incidents like Codecov and Log4Shell that highlight the urgent need for artifact integrity.

The episode also covers the technical mechanics of SLSA, specifically "provenance"—the tamper-evident metadata that answers who built an artifact, what sources were used, and how it was constructed. We examine the Sigstore toolchain, including Cosign, Fulcio, and Rekor, which enables the "keyless" cryptographic signing essential for modern supply chain security.

For those ready to move from theory to practice, we outline a implementation roadmap starting from Level 1 (fully scripted builds) to Level 3 (enforced verification in production), a journey that typically takes between three to six months. We also highlight the critical roles of different stakeholders, from developers signing commits to organizations establishing policy enforcement at deployment boundaries.

Finally, we address the limitations of the framework—noting that it focuses on build integrity rather than code quality or runtime security—and point you toward the Certified Software Supply Chain Security Expert (CSSE) course for those ready to master these concepts through hands-on labs.

Whether you are an AppSec engineer, a security professional, or a cybersecurity analyst, this episode provides the practical, research-backed insights you need to defend against source tampering, dependency poisoning, and provenance forgery.

Key Topics Covered:

Defining SLSA and its role in the OpenSSF.

The 742% increase in supply chain attacks and lessons from SolarWinds.

The roadmap from Level 0 to Level 3 "Hardened Builds".

The power of Sigstore and cryptographic provenance.

Common implementation mistakes, such as skipping Level 1 or ignoring verification.

How to get certified as a Software Supply Chain Security Expert.

Upgrade your security career today by mastering the framework that secures the world's most critical workloads.

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

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.

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

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

AI Security Certification and Training:

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

To address these challenges, the Certified AI Security Professional (CAISP) certification provides the skills needed to secure the AI supply chain and infrastructure. The course covers:

The emergence of Agentic AI represents a fundamental paradigm shift in cybersecurity. Unlike traditional, static software, agentic systems are defined by their autonomy, planning capabilities, and ability to use tools to execute multi-step goals. This shift means defenders are no longer just securing code, but rather dynamic, goal-driven entities that can be turned against their creators.

The Taxonomy of Threats

The attack surface for these agents is vast, with several critical vectors identified in the sources:

• Prompt Injection and Jailbreaking: This is the primary method for hijacking an agent. Attackers use direct injection (malicious commands fed directly) or indirect injection (poisoning data the agent processes, such as a webpage or document) to override core instructions.

• Autonomous Exploitation: A compromised agent can effectively become an autonomous hacker. It can independently scan for "one-day vulnerabilities" or execute website exploits without further human intervention.

• Multi-Agent Mayhem: When agents collaborate using protocols like MCP (Machine Communication Protocol), risks multiply. Attackers can exploit these protocols for impersonation or to coordinate multiple agents into a "digital crime syndicate" to bypass security controls.

• Unchecked Autonomy: The speed of AI operation means a minor error can escalate into a major incident before a human can intervene, making minimal oversight a critical vulnerability

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

This episode focuses on how these principles fit into the DevSecOps Maturity Model (DSOMM), a structured framework that enables organisations to embed security practices from the start, ensuring that rapid delivery does not come at the cost of protection.

Ready to take the first step?

The Certified DevSecOps Professional (CDP) course is the ultimate starting point for those looking to automate security and lead organisational change. Through 100+ hands-on labs, the CDP program teaches you to build secure CI/CD pipelines using SCA, SAST, and DAST tools. You will learn to automate security gates, apply Infrastructure as Code techniques, and successfully progress an organisation from DSOMM Level 0 to Level 2. Don't just follow the trends—lead them by becoming a certified expert today

We break down the five critical security dimensions—Test and Verification, Patch Management and Design, Process, Application and Infrastructure Hardening, and Logging and Monitoring—to show how they create a multi-layered defence.

With the global cybersecurity workforce facing a 4 million professional shortage, there has never been a more lucrative time to specialise. DevSecOps experts earn 18-28% more than traditional security roles, with certified professionals commanding an additional 12-15% salary premium.

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