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Risky Business Features
Published by Risky Business Media
- Technology
Join reformed CTO James Wilson as he dives deep on cybersecurity topics through an enterprise lens. From solo content and interviews with CISOs and researchers to vendor and startup deep dives, James does a bit of everything.
Listen on Apple PodcastsRecent episodes
- Benchmarks, borders and the true cost of AI regulation from Risky Business Features
The US government is flirting with the idea of regulating most open weight models out of existence. What would that mean for everyone who’s currently using them? Policymakers who just look at the benchmarks and token costs might think frontier and open weight AI models are all interchangeable. That they can just banhammer them without causing any disruption. That’s far from the truth. In this solo podcast, James Wilson looks beyond the US vs China AI race rhetoric and instead games out what the real world consequences of the US government slapping bans on AI models could be. Show notes
- Fortibleed: The bleeding edge of AI cybercrime from Risky Business Features
In this podcast episode SOCRadar CISO Ensar Seker and James Wilson chat about the company’s deep dive into the Fortibleed campaign. A small investigation into a curiously open directory on an unknown server expanded into the discovery of an attack that targeted 400,000 Fortinet devices. As Ensar says, each time the SOCRadar team pulled a single thread, it led to a tapestry of AI-enabled cybercrime. They uncovered custom initial access, persistence and packet sniffing tools, as well as direct links to the INC and Lynx ransomware operations. Most interesting though is the use of AI to design, implement and operate all aspects of the campaign across a team of 20 individual actors. Operating more like a modern software company than a traditional cybercrime gang, Fortibleed serves as our first in-depth look at the future of cybercrime. Show notes SOCRadar Links FortiBleed Campaign to INC and Lynx Ransomware Operations
- What to do 'til the bugpocalypse gets here from Risky Business Features
In this podcast episode Brad Arkin joins James Wilson to discuss how defenders can get ahead of the late-running bugpocalypse. While we’re confident the offensive cybersecurity capabilities of frontier and open-weight LLMs are real, attackers don’t yet seem able to fully utilise them. This creates a window of opportunity for defenders to tackle the threat. There are a few well-funded and seemingly overlapping industry efforts under way including Athena, Akrites, and Patch the Planet. But, as Brad says in this interview, there’s too much focus on fixing bugs and traditional vulnerability triage, and not enough on exploring how to make entire classes of vulnerabilities inert. Show notes
- Mythos on your desk? Using local LLMs for code reviews from Risky Business Features
In this podcast episode James Wilson chats with Karsten Nohl about his research into using local LLMs to replace cloud AI in security code reviews. In essence, Karsten created a hybrid code reviewing system where both cloud and local models are used to orchestrate, triage outputs, and write reports. In this system, only the local LLMs have source code access, with the cloud models used to manage the local models. In this “source-local” review technique, the source code never leaves the local endpoint, which is a requirement for some reviews. But funnily enough, Karsten was able to use this system to generate findings that were as impressive as when using frontier models directly. In a nutshell, Karsten proved it’s possible to use locally-hosted, open-weight models running on commodity hardware to produce findings comparable to those discovered by frontier cloud models. This episode is also available on YouTube . Show notes Beyond Fable: Can a Local LLM Replace Cloud AI for Security Code Reviews Mythos smythos! How to find 0day with lesser models
- Pitching security startups to VCs in the AI era from Risky Business Features
In this podcast Patrick Gray and James Wilson chat with Decibel Partners founder and Managing Partner Jon Sakoda to talk about pitching cybersecurity startups to VC firms in the AI age. Coding agents and large language models have made it easier than ever to create software products, but despite this, the bar for what interests an investor is still largely the same. Everyone can run the marathon, but it’s usually the same few folks who finish first. So tune in to hear Jon share with us his wisdom on when to start the conversation with investors, how to leverage the experience of the founder community, and what founders should watch out for. This episode is also available on YouTube Show notes
- How using open weight models can blow up in your face from Risky Business Features
In this podcast episode James Wilson and Brad Arkin talk about how to safely use open weight large language models in the enterprise. The cost of frontier models was already driving interest in freely available open weight models like DeepSeek, Kimi and Qwen. But now the US government is forcing Anthropic to pull its Fable and Mythors models from the market, the argument for having greater control over your own AI stack is stronger than ever. But as you’ll hear in this episode, the model itself is just one component of the complex tech stack you’ll need to spin up if you want local inference. There’s a lot of moving parts, each of which comes with its own supply chain risks. So whether you’re hosting these models on your own hardware or via a SaaS provider, there’s a lot to ponder! Show notes
- The state of the art in AI model jailbreaks from Risky Business Features
In this solo podcast episode, James Wilson breaks down the current state of AI model jailbreaks. If you’ve somehow missed the story, last week Anthropic released its Fable 5 and Mythos 5 models to the public. In the name of safety, both models were guardrailed up the wazoo, but that didn’t stop a bunch of jailbreakers from figuring out how to bypass at least some of their safety restrictions. In response to these guardrail bypasses the White House issued an export control directive on the models, citing national security concerns. But was the Trump administration right to do this? Do these jailbreaks represent a threat to the security of the USA, or was the export restriction overkill? Tune in to find out! Show notes Pliny the Elder on Fable 5 Jailbreak whoJumper's response to Pliny ConfusedPilot: Confused Deputy Risks in RAG-based LLMs
- Why NPM v12 won’t stop supply chain attacks from Risky Business Features
In this podcast episode, James Wilson is joined by Open Source Malware Security co-founder Paul McCarty to talk about the supply chain attack mitigations coming in NPM v12. NPM disabling (by default) auto-run install scripts and dynamic dependencies is a positive step forward… but it’ll take years for this new version to be adopted, and these changes do nothing to prevent malicious packages being imported into projects. Further, Paul thinks disabling these features by default will introduce friction that will cause them to be re-enabled. When the choice is “this builds” and “this is less prone to malware”, the former will always win. Show notes
- Everything is getting much worse, much faster from Risky Business Features
In this podcast Brad Arkin joins James Wilson to talk about how the fear of being left behind in the AI era means enterprises are taking risks that would have been considered insane just a couple of years ago. Fears around outages or being hacked have been trumped by fears of being labelled an AI laggard. So where are we all going? Say hello to tech debt-riddled, vibe-coded apps, crazy dependencies on AI providers, and an emerging threat landscape that can’t be mitigated by a contemporary SOC. Sounds like fun, eh? Show notes
- Solo podcast: A deep dive on TeamPCP from Risky Business Features
In this solo episode, James Wilson takes a detailed look at TeamPCP. It started off by launching clumsy attacks against misconfigured Kubernetes clusters in September 2025. But by February this year, TeamPCP had skilled up and was smashing global software supply chains in the highest profile attacks of 2026. TeamPCP upskilled and turned the software development ecosystem into its personal credential harvesting machine. Here’s how TeamPCP did it, and what we can learn from it. Show notes
- How to survive supply chain attacks from Risky Business Features
In this podcast James Wilson chats with Brad Arkin about why software supply chain attacks have gone from rare, once-in-a-while disasters to an operational problem affecting mainstream enterprises almost daily. AI has made attackers faster, and “vibe coding” means the number of environments pulling packages from the internet has gone to the moon. It also means legacy tooling that seeks out the bad packages and cleans them up isn’t enough. Package cooldown windows won’t fix this either. But all hope is not lost! Tune in to this podcast to find out how you can get a grip on the disaster de jour! Show notes
- How the CopyFail disclosure went sideways from Risky Business Features
In this episode, Theori’s Brian Pak and Andrew Wesie join James Wilson to discuss why the CopyFail exploit was publicly disclosed before Linux distributions had their patches ready. As you’ll hear in this episode, mistakes were made and lessons learned. It’s worth a podcast, too, because in our opinion this incident foreshadows the inevitable problems that open source software will face in the unfolding vulnpocalypse. Show notes
- NCSC’s Ollie Whitehouse on surviving the "bugpocalypse" from Risky Business Features
In this edition of Risky Business Features Ollie Whitehouse, the CTO of the UK’s National Cyber Security Centre, joins Patrick Gray and James Wilson to talk about why “patch faster” will only get organisations so far in the face of the AI “bugpocalypse”. As Ollie explains, organisations will need to reduce internet-facing attack surface and make better architecture decisions as 0day discovery speeds up. This episode is also available on YouTube . Show notes
- What a great agentic AI deployment plan looks like from Risky Business Features
In this podcast James Wilson and Brad Arkin workshop the advice they think the industry needs to hear when it comes to deploying agentic AI in the enterprise. Relegating agentic AI to non-sensitive and low-risk tasks doesn’t deliver value, and avoiding all risk stalls progress. James and Brad discuss the phases of AI adoption and contrast what a great plan looks like, versus an overly cautious one. Show notes
- Mythos smythos! How to find 0day with lesser models from Risky Business Features
In this podcast James Wilson chats with Niels Provos about his research into using older AI models to successfully hunt for 0day vulnerabilities. Niels has had a long and prolific career in cybersecurity, having worked as a Distinguished Engineer at Google and then heading up security at Stripe. His interest in AI bug hunting was piqued recently when one of the Mythos 0day vulnerabilities that received lots of attention happened to be in code he wrote for the OpenBSD project 27 years ago. It got him thinking: Are these frontier models really that magical? Or could we replicate their findings with some clever orchestration instead of relying on the model’s smarts to find bugs with a single prompt? As it turns out, this was worth looking into. Niels’ orchestration framework, Iron Curtain, works extremely well. This episode is also available on YouTube Show notes Finding Zero-Days with Any Model Security Blueprints
- Solving the AI agent identity problem from Risky Business Features
In this podcast James Wilson and Brad Arkin chat about emerging trends in AI agent identity and credential management. Brad was formerly the CISO of Adobe, Cisco and Salesforce, and is now working with all sorts of companies that are deploying AI. With everyone now in at least a large-scale pilot of agentic AI, the issue of how to manage agent identities and credentials is still an unsolved problem. But, some interesting patterns are emerging. Show notes
- A deep dive on AI model distillation attacks from Risky Business Features
In this solo episode of Risky Business Features James Wilson explores how distillation techniques are both a legitimate way to train smaller models, as well as a way to steal model capabilities. It’s not just a problem for frontier labs! Any LLM-based product could have its competitive advantage stolen through these attacks. James covers: High-level concept of distillation Why it matters including close/open-weight/open-source explanation Types of distillation and the prompts used The distillation pipeline end to end Distillation at scale and mitigation techniques Hardware resource constraints for distillation Show notes Self-Instruct: Aligning Language Models with Self-Generated Instructions Alpaca: A Strong, Replicable Instruction-Following Model Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality Orca: Progressive Learning from Complex Explanation Traces of GPT-4 Zephyr: Direct Distillation of LM Alignment Stealing Part of a Production Language Model Microsoft probes if DeepSeek-linked group improperly obtained OpenAI data, Bloomberg News reports Detecting and preventing distillation attacks
- Feature Interview: Nicholas Carlini, Anthropic from Risky Business Features
In this episode, Anthropic’s Nicholas Carlini joins Patrick Gray and James Wilson to talk about advancements in AI-driven vulnerability research and exploit development. Nicholas’ talk at the recent [un]prompted conference demonstrated how Anthropic’s Opus 4.6 could find and exploit vulnerabilities in popular open source projects. In the short few weeks since then, Anthropic announced a new model that’s already identifying hundreds of bug fixes across critical software. Nicholas talks us through the work he does at Anthropic, what’s possible and the limitations with current frontier models, and where this goes from here. This episode is also available on YouTube Show notes
- A builder's perspective on Mythos and frontier models from Risky Business Features
In this episode, James Wilson is joined by entrepreneur and investor Yaniv Bernstein to discuss Anthropic’s Mythos through the lens of startups and growing businesses. Yaniv is Google’s former VP of Engineering, and is former VP Eng and COO at Airtasker. He’s now an investor and advisor to startups and he co-hosts The Startup Podcast. Show notes
- Mythos and 0day: Fixing exploits is not safety from Risky Business Features
In this episode, James Wilson is joined by Brad Arkin who provides a CISO’s perspective on Anthropic’s Mythos. As former CISO at Adobe, Cisco and Salesforce, Brad’s perspective challenges the notion that finding and fixing exploits makes us safer. Show notes