PODCAST: The Resilience Room
https://dashboard.rss.com/podcasts/the-resilience-room-cyber/ đ Listen on your favourite podcast app or online here Welcome to The Resilience Room, where cyber professionals sit back and chat about their lives, passions and experiences. We discuss cyber culture, thought leadership, technical topics and emerging trends. Hosted by Sam Dickison, Community Manager at Immersive. đĄ We'd love to hear your questions for guests, or guest suggestions! Please comment on this post with any ideas.Architecting at Speed: Mastering Secure Development with OpenAI Codex
Welcome back to our series, âBehind the Scenes of Immersive Oneâ! The following is a conversation with BenMcCarthyâ, Lead Cybersecurity Engineer for Immersive One, and RebeccaSchimmoellerâ, Lead Product Marketing Manager. Today, weâre continuing the discussion on our Secure AI capability. There is a misconception that security is the enemy of development speed. But with AI, the opposite is true. If you don't have security engineered into your AI workflow, you can't actually go fastâbecause youâre constantly stopping to fix 'trash code' or patch vulnerabilities. The developers who win in this era aren't just the ones coding faster; they are the ones architecting systems that are secure by design, even at AI speeds.â Rebecca: Thatâs a crucial distinction, Ben. We often hear that AI is a "firehose" of productivity, but without control, that firehose just creates a mess. It seems like the role of the developer is shifting from "writing lines" to managing this high-velocity output. How does the new Building with AI: Codex CLI collection help them make that shift? Ben: By giving them the controls they need to harness that speed safely. If you let OpenAIâs Codex run without guardrails or understanding, you get velocity, sureâbut you also get risk. We designed this collection to empower developers to become their own Security Architects for their workflows. We are leveraging the Azure AI Foundry capability to give learners real, secure access to these models. The goal isn't to teach you how to hit "Tab" to autocomplete; it's to teach you how to rigorously evaluate, guide, and constrain what the AI produces using the command line tool like Codex so you can ship code that is both fast and bulletproof. Rebecca: So itâs about elevating the humanâs role to "Architect." Letâs talk specifics given what the collection coversâhow did you instill that mindset? Ben: We start by ensuring developers know the power of what you can do with Codex. How to get the best out of your models in this CLI tool. We go over effective prompt engineering, tool usage, and how AI can help with "Greenfield" projects (net-new builds) and "Brownfield" projects (legacy codebases). This is a critical skill for a lead engineer. AI is great at generating new code (greenfield), but it can be dangerous when it doesn't understand the hidden dependencies of a ten-year-old application (brownfield). We teach engineers how to spot those context gaps, key stuff that the AI might miss. Rebecca: I saw "specification-driven development" was a big part of your roadmap, too. How does that fit into the "speed" theme? Ben: This is the ultimate accelerator. Instead of writing the code line-by-line, you write the "spec"âthe blueprintâand let Codex handle the implementation details. Itâs not about doing less work; itâs about doing higher-leverage work. You define the logic and security constraints, and the AI handles the boilerplate. It shifts the developerâs brain from "how do I type this function?" to "what should this system actually do?" Rebecca: That sounds like a powerful approach, Ben. But what about the security risks? If developers are offloading implementation to Codex, how do they avoid leaking data or introducing bugs? Ben: Thatâs non-negotiable. In the Guardrails lab, we show learners how to build a safety net. We teach practical methods for stripping PII (Personally Identifiable Information) and using hooks to sanitize inputs before they reach the model. It gives developers the confidence to use these tools freely, knowing they have already engineered the safety mechanisms to protect their org. Rebecca: I saw a lab in the collection called "Tools and MCP" (Model Context Protocol). Is that where you get into advanced workflows? Ben: Exactly. This is where we give developers the keys to become a force multiplier. We show users how to connect Codex to other tools. This is the ideal definition of ROI for developers. Youâre automating the tedious "check your work" phase, allowing you to ship secure code faster without burning out on manual review. Rebecca: It feels like that approach accepts todayâs AI era realities for what they are and finds the strategic advantages⊠pushing developers towards productivity and security gains with real mastery. And just like the Claude collection, users have access to a Demonstrate Lab, to prove that mastery, am I right? Ben: Absolutely. The Demonstrate Lab challenges users to build a solution thatâs efficient, functional, and secure. It proves that you aren't just an "AI user"âyou are an AI Engineer who understands the capabilities the collection covers. Final Thought Our Building with AI: Codex collection is about upgrading the developerâs toolkit. For the organization, it ensures AI adoption is secure and scalable. For the engineer, it removes the drudgery of boilerplate, freeing you to focus on the creative, architectural challenges that drive real value. Ready to upgrade your workflow? [Access Collection]Beyond the Chat Window: How to Securely Vibe Code with Anthropicâs Claude
Welcome back to our series, âBehind the Scenes of Immersive Oneâ! The following is a conversation with RobertKlentzerisâ, Application Security Content Engineer for Immersive One, and RebeccaSchimmoellerâ, Lead Product Marketing Manager. Today, weâre deep diving into one facet of our Secure AI capability. âWe are seeing a shift from âchatting with AIâ to âinviting AI into the terminal.â With the release of tools like Claude Code, developers aren't just copying and pasting snippets from a browser anymore. They are letting an agent live directly in their CLI, giving it permission to read file specs, run commands, and architect entire features. Itâs a massive leap in capabilityâbut also in trust.â Rebecca: That is the big shift weâre hearing about, Rob. The market is obsessed with the idea of "vibe coding" right nowâjust describing what you want and letting the AI handle the implementation details. But for a security leader, the idea of an AI agent having direct access to the CLI (Command Line Interface) sounds terrifying. It feels less like a helper and more like handing a stranger your SSH keys. Rob: That is exactly what makes Claude Code different from your standard autocomplete tools. You aren't just getting code suggestions; you are interacting with an agent that has tooling capabilitiesâlike using MCP (Model Context Protocol) or running slash commands. If you don't know what you're doing, you might accidentally let the agent produce insecure code or mishandle PII in a way thatâs harder to spot than a simple copy-paste error. This new collection is about bridging that gap: how do we embrace the speed of vibe coding without sacrificing the security of our platform? Rebecca: So itâs about safe integration. Letâs get into the weedsâwhat does the "safe" version of this look like in the actual Immersive One labs you created? Rob: We start by defining common patterns used in AI coding agents such as manual prompts and how you can write them so Claude generates secure code. We then go a little deeper and explore how you can let your agents start coding securely with more autonomy and less intervention while staying secure with spec-driven development. From there, we move to the components of Claude Code and show how to leverage these advanced features, such as custom slash commands and skills that can enhance the security of both large legacy and greenfield projects. Rebecca: I noticed your roadmap included a focus on "Guardrails" and "Claude Agents." Is this where we stop "trash code" from hitting production? Rob: Exactly. This is unique to the agentic workflow. In the Claude Agents lab, we teach users how to set up a "Reviewer Agent" that audits the code generated by the first agent. We also have a dedicated lab on Guardrails, focusing on stripping PII (Personally Identifiable Information) before Claude ever sees the data. Itâs about ensuring that even if the AI is "vibing," the security protocols remain rigid. Rebecca: That sounds incredible for the security team, but what about the developer? If Iâm used to just doing my thing, head down to deliver on time, wonât specification-driven development cramp my style? Rob: Fun fact: It actually makes you faster. Think of the 'spec' as the prompt that saves you ten revisions. At Immersive, we focus heavily on ROI and removing pain for users. In this case, we show developers how to use slash commands and hooks to automate the boring stuff. When you learn to use these tools properly, you stop wrestling with the AI and start conducting it. And because these labs are hands-on with real Claude Code access in a secure sandbox, you can experiment with these powerful agents without worrying about breaking your own local environment. Your manager will love that too. Rebecca: Ha! Youâre right. It sounds like weâre giving users a safe place to crash-test the car before they drive it. And I see you wrap it all up with a "Demonstrate" lab? Rob: We do. We want to prove competence. The Demonstrate Lab is a capstone where you have to combine everythingâusage, security, and productivity. You have to prove you know how to use Claude Code to build something functional and secure. It validates that you aren't just generating code; you're engineering with it. Final Thought Our Building with AI: Claude Code collection isn't just another coding tutorial. It is a blueprint for the agentic future of development. For you the developer, it turns Claude from a vibe code buddy into a fully integrated, secure pair programmer. For your organization, it transforms a potential security risk into a governed, high-speed workflow. Want to get started? [Access Collection]No More Busy Work: How Programs Automate Personalized Cyber Readiness
Welcome back to our series, âBehind the Scenes of Immersive Oneâ! The following is a conversation with MartinHewittâ, Principal Product Manager for Immersive One, and RebeccaSchimmoellerâ, Lead Product Marketing Manager. âWeâve all seen the spreadsheet of doom. You assign a list of training labs to fifty people, and then you spend the next month chasing them down, manually checking completion statuses, and hoping the content youâve assigned them is actually relevantâbecause if itâs not, your learners are just tuning out. Itâs an operational nightmare, plain and simple.â Rebecca: Wow, yeah, we hear this constantly from the market, Martin. Leaders are drowning in admin work while trying to build resilience. It feels like weâve been handing learners a stack of maps and hoping they figure out the route. Meanwhile, busy learners assume the content isnât worth their time, so disengage. How does the new Programs capability change that dynamic? Martin: That map analogy is actually spot on. Until now, weâve had Assignments and Collectionsâwhich are great, but they are static. Like you said, itâs handing someone a map. Programs is a fundamental shift ⊠a GPS navigation system for learning. Instead of just handing a learner a stack of content and hoping for the best, a Program plots the optimal route based on their initial skill level. It re-routes them if necessary using logic, and it shows the manager if they fall behind schedule. We arenât just looking at completion anymore; we are looking at flow. Rebecca: I love the "GPS" concept. But letâs make this real for our customers. What does one of these "routes" actually look like? Can you give us a concrete example of a path a team might take? Martin: Absolutely. Letâs look at the SOC Analyst Program. It doesnât just start with a generic to-do list. It starts with an Adaptive Assessment. Based on those results, if the system sees a user is proficient and capable, it will route them into content that speaks to their level of knowledge and experience, rather than a one-size-fits-all (or, more often none) route. We see this for Cloud Security too. Engineers who know AWS inside-out don't need to waste time on S3 Buckets 101. The Program fast-tracks them to the advanced Cloud Defense scenarios. Itâs about respecting their time Rebecca: Thatâs a perfect segue to the learnerâs experience. We talk a lot about the managerâs benefit, but honestly, if Iâm an analyst, why should I care? How does this make my day or professional life better? Martin: If youâre a learner, the biggest benefit is that you stop doing "busy work." Nothing kills morale faster than being a senior engineer forced to click through beginner labs just to get a completion checkmark. With Programs, the system recognizes your skill level immediately. You get to skip the stuff you already know and focus on the challenges that actually help you grow. Plus, because itâs a cohesive journey, you always know why you are doing a task. You arenât just completing a random lab; you are moving through a cyber-narrativeâfrom detection to analysis to remediation. It feels less like homework and more like a mission. Rebecca: So, weâre moving from "did you do it?" to "are you ready?" That sounds like it aligns perfectly with the CISOâs need to prove outcomes. But Martin, what about the managerâs visibility? You mentioned "flow" earlierâhow is that different from just tracking who finished a lab? Martin: Right now, if you want to know who is struggling, you usually have to wait until the deadline passes and see who didn't finish. By then, itâs too late. With Programs, we focus on Pace. We capture a time commitment expectationâsay, two hours a weekâand the system calculates a "Burndown Rate." We can tell you in real-time if a user is Ahead, On Track, or Behind. Itâs about finding what I call the "Bread and Valley Joes"âthe people who are struggling silently. We want to surface those users to the manager before they fail, as well as highlighting the super-keen folk who really love stretching and testing their skills, weâre showing them as Ahead, making sure theyâre spotted and give them the opportunity for recognition. Rebecca: Thatâs huge for "Management by Exception." You don't need to micromanage the high-performers, but you can quickly help those who are stuck. Martin: Exactly. And weâve built the intervention right into the platform. You can filter for everyone who is "Behind" or stuck on a specific stepâlike Cloud Fundamentalsâand bulk-message them right there. No more downloading CSVs and running mail merges just to nudge your team. Rebecca: Martin, this is a massive step forward. But knowing you and the engineering team, youâre already looking at whatâs next. Can you give us a sneak peek at whatâs coming for Programs? Martin: Donât mind if I do! Right now, we have these amazing "Stock Programs" ready to go. In the New Year, weâre also handing the keys to customers ⊠weâre going to introduce a custom builder. Managers will be able to build a completely bespoke journey tailored to their specific organization, drawing from right across our whole catalog. Things like being able to create your own "onboarding flow" to mirror your exact tech stack and security policiesâŠ. Thatâs when things will get even more exciting. Rebecca: I can't wait to see what customers build when thatâs available, Martin. Thanks for walking us through the logic behind this milestone launch. This is major for customer outcomes. Martin: It is. Weâre finally moving learners from just "completing tasks" to building real muscle memory. Thatâs the stuff that benefits their org now, and that they can carry it with them to their next professional opportunity. Final Thought Programs represent a shift that benefits the entire security function. For the organization, it replaces static assignments with an operational engine that measures true readiness against critical threats. For the learner, it transforms training from a checklist into a career-building journey, ensuring they develop skills that last far beyond their current role. Want to see how it works? Donât miss this demo.Boosting Cyber Readiness Together: Introducing The New AI In-Lab Assistant
Weâre passionate about creating an empowering, collaborative learning environment. Thatâs why weâre excited to introduce the AI In-Lab Assistant â an intelligent chatbot right inside your lab environment. We want you to solve challenges independently. The new AI assistant is designed to provide hints and tips on a lab, offering guidance without giving away the answer. The aim is to enhance your learning experience, ensuring you're always ready for whatâs next. đ Finding your on-demand learning companion Getting started is simple. Open a lab, and youâll see a sparkle icon in the top right corner of your screen. Clicking this sparkle icon opens the chatbot interface. If the window obstructs your view, you can reposition the chatbot by dragging its top bar. If you need to hide it, click the cross in the top right of the pop-up window or the sparkle icon again. đŹ How can the assistant help me? We specifically designed this chatbot to help with lab-related queries and tasks inside the lab environment. You can ask it to summarize the lab briefing, help you understand key concepts (such as "what is a SIEM?"), or assist with specific questions (for instance, "I need help with Task 3!"). The chatbot will give you hints and tips without giving you the exact answer. For example, if you're tackling enumeration, it might suggest commands like nmap, netstat, or cat. If you're working on privilege escalation, it may encourage you to think about commands like sudo, su, or to look for SUID binaries. Our sophisticated technology takes snapshots of practical and cloud labs, capturing the necessary context to understand activities on the virtual machine or the command line interface. â Key boundaries and quick tips We want you to get the most out of the new AI In-Lab Assistant. It keeps to the following main points: It wonât give away the answer: We intentionally designed the chatbot to encourage independent completions, not to directly give you the answer. If you ask outright for the answer to a question, itâll provide hints for you to figure it out yourself. It only applies to lab content: While you can input any query, the chatbot can only answer questions related to the lab youâre currently in. If you ask a non-lab-related question, such as "howâs the weather today in Bristol?", itâll tell you it doesnât have access to real-time data. Instead, itâll encourage you to ask a question about the lab. History isnât retained: To start a new chat, click the plus icon next to the New chat button in the top left of the chatbot window. This will clear the current history. Note that youâll lose your conversation history when you exit a lab or start a new one. The chatbot can only retain seven questions before forgetting them. Exclusions: The AI In-Lab Assistant is available in most labs, but isnât available in custom labs, adaptive assessments, or any demonstrate labs. đ Data security and feedback you can trust We want to be upfront about our technology and security because we value authenticity. Our AI service was built using OpenAI. We prioritize your data security, so we only store your account UUID in the AI service database. We donât store any other personally identifiable information (PII) except what you explicitly input as queries, which OpenAI will also receive. Crucially, we donât ingest any custom content labs into our AI service, and the service doesnât have access to any customer data. We rely on your input to keep improving! You can provide feedback on every response using the thumb-up or thumb-down icons found directly underneath the chatbotâs reply. We monitor this feedback to improve the AI In-Lab Assistant over time. đđ»ââïž And donât forget⊠If youâd prefer to speak to real humans for hints and tips on your favorite labs, head to the Community and navigate to the Help Forum. If you arenât satisfied with the AI In-Lab Assistantâs responses or have technical issues with the feature, reach out to Customer Support via the Help Center.October is here! Prepare for Cybersecurity Awareness Month with Immersive đ
In a world where technology and threats are constantly evolving, building a resilient team is more important than ever. At Immersive, we're proud to be your partner in this journey, and we've put together a fantastic lineup of events, challenges, and resources throughout October to help you and your teams stay ahead of the curve. Whatâs on at Immersive this Cybersecurity Awareness Month đ Oct 1st Whitepaper: GenAIâs Impact on Cybersecurity Skills and Training Oct 6th Trick or Treat on Specter Street Challenge Begins: Labs 1-3 Oct 9th Labs Live: Ripper's Riddle Community Webinar Oct 13th Trick or Treat on Specter Street Challenge: Labs 4 - 6 Oct 15th Webinar: How to Build a People-Centric Defense for AI-Driven Attacks Oct 16th Labs Live: Cursed Canvas Community Webinar Oct 20th Trick or Treat on Specter Street Challenge: Labs 7 - 9 Oct 22nd Cyber Resilience Customer Awards Winners Revealed Oct 23rd Labs Live: Macro Polo Community Webinar Oct 27th Trick or Treat on Specter Street Challenge: Labs 10-12 Oct 30th Labs Live: Phantom Pages Webinar Oct 31st Trick or Treat on Specter Street Challenge Finale: Labs 13 Oct 31st Virtual Crisis Sim: The Puppet Masterâs Trick or Treat Challenges and Labs Trick or Treat on Specter Street đ» Welcome to Trick or Treat on Specter Street, a Halloween-themed cybersecurity challenge where you'll use both offensive and defensive skills to solve a mystery unlike anything weâve encountered before. Each week throughout October, weâll drop new hands-on labs that slowly begin to uncover the secrets of Specter Street. Can you crack the case? Find out more. AI Foundations đ€ Ready to navigate the rapidly evolving world of Artificial Intelligence with confidence? Give our new AI Foundations lab collection a go! Designed to equip your teams with critical AI knowledge and practical implementation skills; this initial collection features seven foundational labs that progressively guide your teams from high-level overviews to secure, hands-on AI implementation. Find out more. Events and Webinars Webinar How to Build a People-Centric Defense for AI-Driven Attacks Wednesday October 15th A must-attend event for understanding how threat actors are leveraging AI and other emerging technologies to carry out attacks. Register Now. Virtual Crisis Sim The Puppet Masterâs Trick or Treat Friday October 31st Join us on Halloween as the notorious Puppet Master returns for a fiendish game of Trick or Treat đ Play along with our Immersive crisis response experts as we tackle a LIVE coordinated attack from the Puppet Master on a Critical National Infrastructure organization. Dare you play the Puppet Masterâs game and survive, or will they finally get their revenge?! Register Now. AI and Emerging Threats Throughout the month, weâre shining a spotlight on the rise of AI in cyber. From our all-new AI Foundational lab series to cutting edge research from the experts at the cutting edge of GenAI in cybersecurity in our latest whitepaper: GenAIâs Impact on Cybersecurity Skills and Training. Explore our latest AI-focused resources and upskill your teams to confidently face the future of cyber resilience. Check out our latest reports, articles, webinars and more on GenAI, here. Celebrating Cyber Resilience Heroes đ We're also celebrating the individuals and organizations at the forefront of cyber resilience with our Cyber Resilience Customer Awards. Keep your eyes peeled on our social channels! We'll be unveiling our latest winners on October 22nd, recognizing those who demonstrate an outstanding commitment to proving and improving their cyber readiness. It's going to be a jam-packed month focused on practical application and deep engagement. Letâs make this the most secure October yet!
Enter The Maze Challenge: Immersiveâs Most Advanced Collection Yet
Today marks the release of the Maze Challenge, Immersiveâs most advanced and cunningly designed offensive cybersecurity collection yet. This new series of labs is more than just a test of skills. It's a puzzle, a game, and a creative brain-bender, crafted by two of Immersiveâs most brilliant minds: StefanApostolâ and SabrinaKayaciâ. Stefan, known to many as the "evil genius" behind the Human Connection Challenge, and Sabrina, who recently inspired our London community meetup attendees with her predictions on AI within the AppSec space, have teamed up to create something truly unique. We sat down with them to get their insights on what makes the Maze Challenge so special, so challenging, and so much fun. What was the main inspiration behind the maze theme, and how did you translate that narrative into a collection of technical labs? The core idea for the Maze Challenge, as Stefan explained, came from a shared love of games. "Both Sabrina and I are geeks. We like games, and we wanted to create a challenge with an overarching goal that was more than about earning a completion token." While our labs have always awarded tokens for completion, Stefan and Sabrina wanted to create a narrative that would engage users on a deeper level. "A maze is the perfect example of that," Stefan said. "We wanted to include a game element in these challenges." This isn't just a series of technical scenarios. It's a cohesive puzzle where each lab is a step toward a larger objective. The maze narrative encourages participants to think creatively, connecting different skills and techniques in a way that feels more like a game than a traditional capture the flag (CTF). Iâve heard that this is the most advanced lab collection yet. So, what makes these labs more challenging than the thousands of others in Immersive's catalogue? This collection is Immersive's most advanced to date, introducing a range of techniques not yet widely covered in the platform. The labs are a combination of real-world examples drawn from the creators' past experiences and internal testing, all woven together with a good deal of imagination. While the challenge covers a broad spectrum of offensive skills, including web, Linux, Windows, and Active Directory, Stefan was quick to name binary exploitation as an obvious concept that will have participants scratching their heads. The team collaborated with BenMcCarthyâ on this particular lab, and Ben being Ben, he poured all his creativity into it, making even Stefan nervous to attempt this mean challenge! Sabrina added that the real difficulty lies in the type of thinking required. "Some of them will really require outside-the-box thinking," she said. "They're unusual in a way that requires not just the technical skill, but some creativity and more critical thinking." This is a key theme throughout the collection. Participants can't rely on a simple, formulaic approach. Instead, they must be flexible and resourceful. Sabrina noted that some challenges will require "multiple sets of skills," forcing users to chain together their expertise in different areas to find a solution. Without giving away any spoilers, can you describe a moment in one of the labs that you're particularly proud of designing? Sabrina beamed as she recalled the Inner Maze lab. "I really enjoyed creating Inner Maze," she said, before adding a cryptic twist. "When you break out of that maze is when you're really trapped." She was particularly proud of her ability to create and then beat her own challenge, finding the exploit even more difficult than the design itself. Can you give users any hints or tips? The Maze Challenge is designed to be tough, and you should certainly expect it to be just that. However, the creators want everyone to have a fair shot, so theyâve some advice for those who might feel intimidated. Use the platform to your advantage. Stefan noted that around 98% of concepts within this challenge can be learned in the rest of our lab catalogue. âIf you get stuck on a specific skill, take a break from the maze, find the relevant labs on the platform, and then come back with your newfound knowledge.â We encourage you to learn along the way, and persistence is always rewarded! Failure can be a sign of progress. Sabrina shared a key insight: "Sometimes it's important to take note of what it is you're doing that's failing... If you're failing at the same spot in a particular approach, that could actually mean that you're doing something right." Go figure that one out! Don't go it alone. Sabrina advises anyone starting their journey to ask others for advice and help. Our community help forum is a great resource for sharing knowledge and getting tips from fellow participants. We want you to have fun, and part of that fun is collaborating with your industry peers along the way. In the end, what do you hope participants will take away from this experience, beyond the technical skills? Stefan and Sabrina both hope it's a "desire for more challengesâ! They also dropped a teaser for a community Halloween challenge⊠Thatâs all youâre getting for now! đ Want a head start? Join Stefan and Sabrina for a Labs Live webinar on August 19th. Theyâll be solving the Improbable Maze lab live on the call, in collaboration with you. Attendees are encouraged to play along, offer their suggestions, methods, and frustrations. Itâs the perfect opportunity to see the creatorsâ thought process and gain some momentum for your own journey through the maze. See you there!Unlock the World of AI: Introducing Our New AI Foundations Collection!
That's why weâre thrilled to announce the launch of our new AI Foundations collection, a comprehensive set of labs designed to empower you to navigate the fast-paced world of AI confidently. This seven-part lab collection is your guided tour through the core components of modern AI implementation. We've crafted this collection for everyone, breaking down complex concepts into digestible, easy-to-understand labs. Whether you're a seasoned tech professional or just starting your AI journey, this collection will provide you with a practical, hands-on understanding of how AI systems are built and how they work together to deliver powerful capabilities. NOTE: These labs are only available for customers who havenât opted out of AI-related content. Why a new AI collection? Our customers have asked for more in-depth AI content â a demand that mirrors the explosive growth of the AI market. This new collection is our commitment to staying at the forefront of the industry and proactively addressing the needs of our community. What you'll learn The AI Foundations collection is a journey through the essential concepts of artificial intelligence. Each lab builds on the last, culminating in a holistic understanding of modern AI systems, with a special focus on agentic AI. Here's a glimpse into what you'll discover: Episode 1: Artificial Intelligence (Theory): Dive into the fundamentals of AI, exploring what it is, how it works, and the distinctions between generative AI and AGI. It also discusses AIâs limitations and demystifies the "illusion of thinking". Episode 2: Core Components (Theory): Get acquainted with the building blocks of AI, including LLMs, embedding and diffusion models, RAG, MCP, and the exciting world of agentic AI. It also touches on crucial security considerations as AI transitions from "knowing" to "doing". Episode 3: Large Language Models (Theory): Explore the power of foundational models, the importance of fine-tuning, the role of system prompts, and security considerations such as exploitable vulnerabilities and data privacy. Episode 4: Retrieval Augmented Generation (RAG) (Practical): Take a deep dive into RAG, vector databases, embedding, and chunking. In this hands-on lab, you'll create a knowledge base, chunk a file, and query a fictional company's proprietary data through an integrated AI chatbot. Episode 5: Model Context Protocol (MCP) (Practical): Understand the MCP protocol and its architecture within the broader AI landscape. You'll get hands-on experience using MCP Inspector to interact with an MCP server, and instruct an AI chatbot to organize files on your desktop, gaining insight into exactly how tools are chosen and invoked. Episode 6: Agentic AI (Practical): Immerse yourself in the world of AI agents. You'll get access to real AI agents within a safe sandbox environment. The curious can poke and edit the code and explore integrated Langfuse for a deeper look into the observability of the AI system. Episode 7: Demonstrate Your Knowledge (Theory): Put your newfound knowledge to the test and solidify your understanding of the concepts covered throughout the collection. Secure and private by design We've built our practical AI labs with your security and privacy as the top priority. When you launch a lab, you're entering a completely isolated, sandboxed environment. These sandboxes are self-contained and have no connection to any customer data or personal information. Think of it as your own private, temporary workspace thatâs thoroughly purged after each use. To interact with the AI models, each lab session creates temporary user credentials. Not only are these credentials temporary, but theyâre also locked to the lab environment itself. This means that even if the credentials were to be exposed, they would be useless outside of the specific lab they were created for, providing a robust layer of security. Access to the internet is also strictly controlled, which only allows connections to the minimum endpoints required for the lab to function. We utilize privacy-centric AI models designed to protect your data. The models we use donât store or log your prompts and completions. Furthermore, your interactions are never used to train any models, ensuring that your data remains your own. Weâve also opted out of any content being used for service improvements across all the AI services we use. In some of our more advanced labs, we've implemented an additional layer of security with guardrails that preprocess user inputs and model outputs to filter for harmful or inappropriate content. These guardrails are mandatory and canât be bypassed by users within the lab environment. These multiple layers of security work together to provide a safe and secure environment for you to learn and experiment with AI. Who is this collection for? Everyone! We've designed these labs to be a guided walkthrough, making even the more technical details accessible to anyone working with or interested in AI. Whether you're a developer, a business leader, a student, or simply a curious mind, our AI Foundations course will equip you with the knowledge and skills to thrive in the age of artificial intelligence. Join us on this exciting journey and unlock the power of AI. Get ready to build, innovate, and lead in the new era of intelligence.New Labs: BlackHat 2025 and DefCon 33
Throughout early August 2025, representatives from Immersive's cyber team attended the BlackHat 2025 and DefCon 33 conferences and got great exposure to the latest technologies, topics, and techniques presented by the sharpest minds in our industry. As a result of attending these talks, workshops, and villages, Immersive has created brand new labs going through the various talks that took place, allowing you to get hands-on with the latest technologies and exploits. We present a number of brand new labs covering some of the most interesting and insightful topics from the events, from operational technology (OT) to achieving privilege escalation through firewall software. AI was a hot topic, as you would imagine, especially around Prompt Injection attacks. We already have plenty of content on Prompt Injection, not to mention the new AI Foundations content, so for this series, we created an Appsec Style lab around preventing Prompt Injection attacks. Why should our customers care? BlackHat and DefCon are two conferences that attract the greatest minds in cyber to get together and share their knowledge through workshops, official talks, and villages. Given the high diversity of events and talks that took place, there is something for everyone! Many of the topic areas shared are things that attackers could easily exploit themselves, so taking advantage of the information in these labs equips our customers with the knowledge of the latest vulnerabilities, threats, and exploitation techniques currently being talked about in the industry - improving your resilience and preparation against the latest threats. Who are the labs for? Offensive Security Engineers and Penetration Testers SOC Analysts and Incident Responders Malware Reverse Engineers Operational Technology Engineers Cyber Security Engineers Here is a list of the labs in this release: Binary Facades: Extracting Embedded Scripts CVE-2024-5921 Redux - Bypassing mitigations to PrivEsc with Palo Alto Global Protect Chrome Alone: Transforming a Browser into a C2 Platform No VPN Needed?: Cryptographic Attacks Against the OPC UA Protocol Python: AI Prompt Injection If you'd like to do any of these labs, here is a link to the BlackHat/DefCon collection: https://immersivelabs.online/series/defcon-black-hat/More Immersive Cyber Drills: How Rich Media Can Bring a Scenario to Life
When running a cyber drill, itâs useful to have a consistent and cohesive sense of the story throughout. The use of branding and rich media (videos and audio related to the theme) can engage participants through a sense of world-building and storytelling. Imagine your company drill looking like your company â logo, color scheme, font and all. The Brand Itâs a good idea to start with all the assets needed to create the custom content. In my case, I created a logo and color scheme for a fictional news company, CHANNEL 6 News. The intention was to create a consistent look and feel for the news updates we would use. Using a simple color palette and classic news branding style, I could then create a virtual website for news updates using presentation software. This allows for ease of editing and can be presented full-screen to look like a webpage. A key requirement of the project was to create content that could be edited by anyone â no special software needed. This is just a slide in a presentation! The slide format could be used to represent a company website, a news outlet, or anything to aid the storytelling. Each slide in the presentation is a copy of the previous, but the news story is changed (title, image, and copy). Rich Media Video is engaging; it grabs our attention and helps with immersion. Video that has relevant branding and specifics has the chance to immerse participants even further. Continuing with the Channel 6 News theme, I used an AI video generator to create a news presenter intro and outro, all within a single prompt to maintain a consistent look. I also created a graphical intro in professional video editing software, aligning the branding and adding stock backing music. Using a more stripped-back video editing app, such as Google Vids, templates can be created with the intro and outro already in place. In between, video clips and voiceover (also generated) provide the main content of the news update. These templates allow for quick editing by anyone without the need for expert software. Download the MP4, and weâre ready to slot it into a cyber drill! Here's an example of the intro/outro and small amount of content between. Company Videos Immersive has a fictional company it uses for Crisis Sims called Orchid Corp. We have brand assets (logos, graphics, etc.) that we use to create print and digital media. I created employee welcome videos using stock media and generated voiceover audio, which ended up being fairly convincing. Now, imagine your company assets in whatever type of video you want. Perhaps a news broadcast, maybe an internal or external press release on the crisis situation. The more entertaining and interesting the content, the more immersion and engagement. Prove and Improve Running drills with custom videos will capture your audienceâs attention and imagination. There's a great opportunity to review how the media can be adjusted for further storytelling depth. It could be effective to have the story evolve at a future drill, building on the actions taken previously. Having templates for the content, such as a news update clip, means that significant time is saved in preparation and a consistent feel is kept across drills.
