AI Cybersecurity InfoSec Deals - Black Friday Sale 2026

Practical DevSecOps is offering 15% off all single certifications and total bundle discounts of up to $600 during this Black Friday CyberMonday Sale 2026.Pricing Page:https://www.practical-devsecops.com/pricing/Featured Certification Bundles:DevSecOps & AI Security (CDP + CAISP): Combines secure SDLC fundamentals with AI threat modeling and LLM security for $1,619.10 (saving $478.90).Full AI & Agentic Security Track (CAISP + CMCPSE + CAASE): Covers AI model security, Model Context Protocol (MCP) server security, and agentic AI defenses for $2,186.10 (saving $610.90).Infrastructure & API Security (CCSE + CCNSE + CASP): Provides the largest savings across the catalog, discounted to $1,799.10 (saving $697.90).Complete DevSecOps Pathway (CDP + CDE): Covers pipeline security as well as OS hardening, compliance, and vulnerability automation for $1,709.10 (saving $388.90).Key Program Features:100% Browser-Based Learning: Access to 940+ hands-on browser labs without needing local virtual machines or software installations."Buy Now, Study Later": Purchases lock in sale prices immediately, allowing learners to pick their start date later and activate their 60 days of lab time when ready.Lifetime Validity: Certifications never expire and require no annual renewal fees.Practical Practical Exams: Certification exams involve solving 5 real-world technical challenges in live lab environments rather than multiple-choice questionshttps://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

Why is the Cybersecurity AI Forward Deployed Engineer emerging as one of tech’s most critical roles, commanding compensation of up to $235,100? In this episode, we explore why agentic security has reached an urgent turning point, with 88% of organisations confirming or suspecting an AI agent security incident in the past 12 months. As enterprises rapidly grant autonomous agents live credentials and production database access, market demand for forward-deployed talent has surged by 1,165% year-over-year.Certified Agentic AI Security Expert Course:https://www.practical-devsecops.com/certified-agentic-ai-security-expert/ Episode Breakdown:From Palantir to Client Environments: How the forward-deployed model evolved, and how defending client systems on-site differs fundamentally from standard in-house AI security.Beyond Basic Prompt Injection: A deep dive into the real agentic attack surface, including memory and RAG poisoning, tool-calling privilege escalation, workspace escapes, and protocol vulnerabilities across A2A, ACP, and UCP.The $235K Compensation Driver: What is behind top-of-market salaries at firms like Accenture, and why specialised agentic red teaming provides a 20% to 30% pay multiplier.The Steep Employer Hiring Bar: Breaking down the non-negotiable requirements, including 8+ years of engineering experience, deep cloud IAM knowledge, and daily fluency with agentic coding environments.The 6-Step Transition Roadmap: The structured pathway to entering the field—from hardening agent runtimes to publishing verified deployment artifacts and securing client-facing reps.Whether you are an experienced security engineer or an architect seeking to secure live autonomous workflows, this breakdown offers an essential guide to the industry's newest frontline rolehttps://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

we explore key insights from the State of Product Security Roles: 2026 Research Report. As AI-generated code and autonomous AI agents transform software production, product security is shifting from narrow application scanning to full lifecycle protection. We break down how top organizations are navigating severe talent shortages, structuring modern security teams, and securing the AI supply chain.What You’ll Learn in This Episode:The 2026 Skills Shortage: Why 59% of security leaders report a critical or significant skills gap in cloud-native and AI/LLM security, and how the industry benchmark holds at ~1 dedicated security staff per 100 developers.Emerging AI Security Roles: How autonomous agents are creating specialized roles like AI Agent Security Engineer with 78% of CISOs already running dedicated AI agent security teams.Salary Benchmarks & High-Demand Roles: Breakdown of market compensation, from average US totals of $185,700 to Big Tech IC medians of $281,000–$335,000+, with AI/ML Security leading specialist base pay at $172,000.6 Core Security Team Models: A comparative look at Centralized, Federated, Embedded, Hub-and-Spoke, Platform, and Hybrid organizational structures.Career Pathways: Transition guides for Software Engineers, SREs, Pentesters, and AppSec Analysts entering product security.The 2030 Job Market Forecast: How AI automation will move daily work away from manual scan triage toward reviewing AI-generated threat models and defining agent containment guardrails.Certifications & Training Bundles: Essential certification tracks; including CDP, CCSE, CCNSE, CAISP, and CAASE; and high-value bundle options for container, cloud-native, and agentic AI securityhttps://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

Certified AI Security Professional (CAISP), CompTIA SecAI+, and ISACA AAISM represent the premier credentials competing for cybersecurity professionals in 2026 as demand for AI security roles surges. In this episode, we break down how these certifications stack up for engineers looking to defend real-world production stacks against novel AI vulnerabilities. With job postings requiring AI security skills doubling and red-teaming roles projected to grow by 35%, choosing the right certification pathway has never been more critical for your career trajectory.CAISP, SecAI+, and Microsoft Azure AI Security highlight the fundamental shift between traditional theoretical assessments and modern practical lab exams.Most conventional cybersecurity exams rely strictly on multiple-choice questions (MCQs) that evaluate recall rather than execution, leaving a major gap in testing whether an engineer can handle live system attacks. We discuss how practical lab environments bridge this gap by requiring candidates to execute prompt injections, exploit the OWASP LLM Top 10, poison training pipelines, and implement MITRE ATLAS defenses before patching compromised systems.AAISM by ISACA and CAISP by Practical DevSecOps showcase opposing approaches to prerequisite gatekeeping and career mapping. While AAISM locks enrollment behind existing CISM or CISSP credentials, CAISP requires no prerequisite credential, opening doors directly for AppSec engineers, penetration testers, cloud professionals, and DevSecOps practitioners. We evaluate which certifications best support aspiring AI security engineers aiming for roles with average US salaries ranging from $152,773 to $187,975, contrasting technical hands-on roles with governance and audit pathways like AAISM or AIGP.Practical DevSecOps CAISP ($1,099), CompTIA SecAI+ ($359), and ISACA AAISM ($459–$599) illustrate stark differences in lifetime value versus recurring annual fee structures. CAISP offers a single payment structure with lifetime validity and no recertification fees while awarding 36 CPE points. Conversely, SecAI+ expires after three years, and AAISM requires ongoing annual maintenance fees alongside yearly CPE submissions. Tune in to discover which certification offers the strongest return on investment and practical skill verification for 2026https://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

Ready to secure your career in 2027? Enroll in the Certified AI Security Professional (CAISP) course today. This vendor-neutral, fully lab-based certification from Practical DevSecOps is trusted by global organizations like IBM, Accenture, and PwC. It offers over 30 browser-based labs and a rigorous six-hour practical exam to prove you can actively secure real AI architectures.In this episode of the podcast, we dive into the exact skills you need to stay ahead of the curve as AI-driven systems take over production environments. We discuss:The Salary Premium: Why AI security skills command exceptionally high compensation, with the average US AI security engineer earning $152,773 per year; well above traditional security analyst medians.Active Defence over Passive Learning: Why passive learning fails and why practising real attacks and defences in hands-on labs is the only way to build verifiable, job-ready skills.Prompt Injection Mitigation: Practical steps to secure your applications against prompt injection, the undisputed number-one vulnerability on the OWASP Top 10 for LLM Applications.Internal Career Promotion: How to fast-track your career growth by taking on AI projects in your current organisation and becoming the team’s indispensable, go-to AI security expert.Governing Shadow AI: How to track down unsanctioned LLM use and establish robust governance using established industry frameworks like the NIST AI Risk Management Framework and ISO/IEC 42001https://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

In this episode, we dive deep into the field of AI security to compare the top three AI red teaming certifications of 2026: Practical DevSecOps' Certified AI Security Professional (CAISP), OffSec's AI Red Teamer (OSAI/AI-300), and SANS's SEC536 (Adversarial AI). Whether you are an experienced pentester or an AppSec engineer looking to pivot into securing LLMs, we break down exactly what you get for your money, contrast the intensity of their practical labs against their exam formats, and analyze which credential offers the strongest career and salary growth potential.What We Cover in This Episode:The Core Contenders Explained: We detail the unique philosophy of each program. Learn why CAISP ($1,099) is built for those needing day-one defensive and offensive AI skills, why OSAI ($1,749+) requires a solid foundation in offensive fundamentals, and where SEC536 ($2,629–$3,505) sits as a high-intensity, instructor-led SANS experience.Hands-On Lab Reps vs. Exam Formats: We contrast the actual practical training time against the pressure of the testing center:CAISP: Features 30+ guided browser-based labs. The exam consists of 5 practical challenges completed over 6 hours, with a 24-hour window to write and submit a professional report.OSAI: Employs OffSec’s rigorous "Try Harder" method with modular labs, leading into a grueling, fully proctored 24-hour practical exam designed to simulate a real-world enterprise compromise.SEC536: Provides 10 highly current labs (covering cutting-edge techniques like Model Context Protocol tool abuse) but has no certification exam attached yet due to its beta status.Salary Growth & Career Trajectory: We discuss the massive financial upside of entering the AI security space. With US AI/LLM Red Teamers commanding $160,000 to $280,000 and AI Security Engineers bringing in up to $340,000, we analyze which cert offers the lowest barrier to entry to help you bypass the standard AppSec salary ceiling ($120,000 to $230,000)https://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

In this episode, we break down the 2026 application security space to help you decide which training path actually moves the needle for your career. The central theme of our discussion is a critical choice every professional faces: are you looking to build hands-on skills you can use on Monday morning, or are you looking for a credential to bolster your resume?We explore the certifications that hiring managers and AppSec leads are prioritizing this year, with a heavy focus on practical, lab-based learning over traditional multiple-choice exams.Key topics covered in this episode include:Mastering Threat Modeling: We look at the Certified Threat Modeling Professional (CTMP) and the importance of moving beyond theory to master frameworks like STRIDE and PASTA in live environments.Our goal is to help you prioritize skills over certificates, ensuring that the time and money you invest in your education results in the ability to find and fix real-world vulnerabilitieshttps://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

As organizations rapidly adopt the Model Context Protocol (MCP) to connect AI agents to production data and internal tools, a massive security gap has emerged. In this episode, we explore why MCP security has become one of the fastest-rising hiring signals in the cybersecurity industry and how mastering these skills can dramatically increase your salary potential.Featured Resource: Learn more about the Certified MCP Security Expert (CMCPSE) course by Practical DevSecOps, focusing on attacking, assessing, and hardening MCP servers through browser-based labs.In this episode, we cover:The MCP Security Gap: Most teams have adopted MCP without knowing how to defend it. We discuss why this creates a unique "early mover" advantage for security professionals.Elite Salary Data: We break down the 2026 salary bands, where AI Security Engineers are earning between $152,000 and 210,000 and LeadAISecurityArchitects arer eaching 280,000 and up.High-Value Skills Employers Want: Learn why practical, hands-on skills like tool poisoning, runtime prompt injection, and supply chain security are pulling the strongest premiums compared to theoretical knowledge.Resume Mastery: Discover how to transform a "weak" resume into a "strong" one by using specific metrics and named attack types that prove you can harden real-world AI pipelines.A Fast-Track to Certification: We introduce the Certified MCP Security Expert (CMCPSE) pathway, which uses 30+ hands-on labs to make professionals job-ready in approximately two months.MCP security is currently in a rare window where demand far outstrips supply. This episode provides the roadmap for security engineers, DevSecOps professionals, and architects to walk into high-paying roles before these specialized skills become normalized.Tune in to discover how to secure the AI integration layer and your next major career jump.https://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

The high-speed adoption of AI agents has a new "default" language: The Model Context Protocol (MCP). While MCP provides a seamless way for Large Language Models (LLMs) to interact with tools, databases, and APIs, it has also introduced significant new attack surfaces. In this episode, we break down the MCP Security Best Practices: 2026 Playbook to help security engineers and developers move beyond theory and into hardened, production-ready defense.What’s at Stake?Recent research has exposed a "wild west" of MCP implementations. Security scans of nearly 2,000 publicly accessible MCP servers found that every single verified instance granted access to internal tool listings without any authentication. Furthermore, many servers remain bound to all interfaces (0.0.0.0), inadvertently allowing arbitrary code execution.Key Topics Covered:The 2026 Threat Model: We explore the six critical attack patterns targeting AI agents, including Confused Deputy attacks, Tool Poisoning (where a malicious server injects prompts via tool descriptions), and SSRF during OAuth discovery.The 10 Non-Negotiable Best Practices: A deep dive into the mandatory security controls for 2026, including:OAuth 2.1 Integration: Why strict token audience validation is now the required standard for non-stdio servers.Sandboxing & Least Privilege: Using containerization and syscall filtering (seccomp/gVisor) to isolate tool execution.Human-in-the-Loop: Why high-risk actions (deleting data or sending money) must default to "deny" without explicit user approval.Credential Management: Moving away from static secrets in environment variables and toward short-lived, vaulted tokens.Supply Chain Integrity: The importance of cryptographic signing, version pinning, and SBOM tracking for MCP server packages.The Quick Audit Checklist: A 10-point "Go/No-Go" list for teams ready to take their MCP servers live.Featured Certification: CMCPSEWe also discuss the shift toward hands-on training. The Certified MCP Security Expert (CMCPSE) program is highlighted as the gold standard for 2026, focusing on browser-based labs where professionals attack and defend real MCP code rather than memorizing theory.Whether you are building autonomous agents or securing the infrastructure they run on, this episode provides the research-backed insights you need to ship safely in an agentic world.https://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops

In this episode, we dive into the "MCP Security Risk Framework for Enterprise CISOs", exploring how to secure AI agents against the unique threat of agentic amplification. Ready to lead your organisation’s AI security strategy? Upskill your team with the Certified MCP Security Expert (CMCPSE) course, featuring over 30 hands-on labs to attack, defend, and pen test MCP serversUnlike standard API risks, which are bounded to specific data or functions, MCP risks are non-linear because a single compromised connection can cascade across every capability an agent holds. This "capability multiplier" effect means a compromised agent could autonomously read emails, execute code, and write to databases.We break down the Four-Domain MCP Risk Taxonomy used to assess these threats:Domain 1: Identity & Access Risk – Focusing on identity management and overpermissioned tool scopes.Domain 2: Data Access & Exfiltration Risk – Addressing the risk of sensitive data being leaked through injected instructions.Domain 3: Operational Integrity Risk – Mitigating unintended actions like unauthorised write operations or communications.Domain 4: Supply Chain & Third-Party Risk – Managing risks from third-party tool vendors and manifest tampering.For CISOs looking to bridge the gap between fast-moving business units and security, we discuss a ninety-day implementation plan built on the MCP Security Maturity Model.Days 1–30: Establish a baseline by identifying all agents, assessing authentication, and assigning ownership.Days 30–60: Deploy foundational controls like authentication and logging, and brief the board on the current posture.Days 60–90: Build toward a "Managed" state by implementing session-scoped authorisation and running red team injection exercises.We also provide a strategy for board-level reporting, framing risks in terms of data exposure, operational integrity, and third-party trust rather than just technical severity. You will learn the key signals for moving between maturity tiers; such as transitioning from having no audit logs (Tier 1) to implementing automated manifest drift detection and employing staff holding Certified MCP Security Expert (CMCPSE) credentials (Tier 4).https://www.linkedin.com/company/practical-devsecops/https://www.youtube.com/@PracticalDevSecOpshttps://twitter.com/pdevsecops