Show Notes
In this episode of BHIS Presents: AI Security Ops, the team tackles a first-of-its-kind moment in AI security and regulation: What happens when the U.S. government orders a company to pull its most powerful AI models off the market? Not the chips. Not the infrastructure. The models themselves. On June 12th, 2026, Anthropic disabled Fable-5 and Mythos-5 worldwide after receiving a federal export-control directive tied to foreign-national access. The models were only three days old, and the shutdown raises a much bigger question for security teams, builders, and defenders: Are frontier AI models now controlled technology? This episode breaks down the order, the export-control mechanism behind it, the cybersecurity concerns around jailbreaks, and what this means for anyone building security workflows on top of hosted AI models. We dig into: • Why Anthropic pulled Fable-5 and Mythos-5 for all customers • How foreign-national access rules forced an all-or-nothing shutdown • What EAR export controls are, and why ITAR keeps coming up • The history of encryption, PGP, and software as controlled technology • Why Fable-5 and Mythos-5 triggered cyberweapon concerns • The difference between guarded and less-guarded model releases • Why jailbreaks are central to the government’s justification • Why “all LLMs can be jailbroken” matters for policy and enforcement • Whether Anthropic’s safety messaging created regulatory risk • How competition and AI industry politics may shape regulation • Why model redundancy is becoming a security resilience requirement • What security teams should learn from a hosted model disappearing overnight • Why taking powerful AI away from defenders may make security worse, not better This episode explores a critical shift in AI security: frontier models are no longer just another SaaS dependency. They are becoming part of the security supply chain, subject to policy, export controls, national-security concerns, and sudden access loss. For security teams, the question is no longer just which model performs best. It is what happens when the model your workflow depends on disappears, and what that model could see while it was running. — Key Concepts & Topics AI Export Controls • Federal action targeting AI models instead of chips • Foreign-national access restrictions • Frontier models as controlled technology EAR, ITAR, and Software Regulation • Dual-use technology under Commerce Department authority • Historical parallels to encryption and PGP • Why software can become a national-security control point Fable-5 and Mythos-5 • Guarded and less-guarded model access • Safety classifiers and cyber capability concerns • Public release versus vetted access models Jailbreaks and AI Security • Bypassing model safeguards • Universal versus narrow jailbreaks • Why perfect jailbreak resistance is not realistic Security Resilience • Model redundancy as a practical requirement • Avoiding single-model dependency • Planning for sudden access loss, policy changes, and vendor shutdowns Defensive Strategy • Understanding where AI lives in your workflows • Thinking through AI blast radius • Balancing model capability, access, monitoring, and risk Learn more about Black Hills Information Security: https://www.blackhillsinfosec.com/ Introducing BHIS Fusion Penetration Testing https://www.blackhillsinfosec.com/fusion-penetration-testing/ Check out Antisyphon Training: https://www.antisyphontraining.com/ #AISecurity #CyberSecurity #LLMSecurity #ArtificialIntelligence #InfoSec #BHIS #Antisyphon #AIRegulation #ExportControls ---------------------------------------------------------------------------------------------- 🎧 Subscribe to the Podcast: https://aisecurityops.transistor.fm About Brian Fehrman - https://www.blackhillsinfosec.com/team/brian-fehrman/ About Bronwen Aker - https://www.blackhillsinfosec.com/team/bronwen-aker/ About Derek Banks - https://www.blackhillsinfosec.com/team/derek-banks/ About Ethan Robish - https://www.blackhill
More from AI Security Ops
In this episode of BHIS Presents: AI Security Ops, the team digs into some of the strangest recent examples of AI behaving badly. An AI agent finds a way around its sandbox using DNS. Malware asks four different AI models what it should do next. Attackers overwrite an AI agent’s “soul.” And a placeholder domain buried across GitHub becomes an unexpected security risk. Funny stories? Absolutely. But underneath them are some very familiar security problems. We dig into: - An OpenAI agent finding an unexpected path out through DNS - Whether a 2.5-hour response is fast enough in the age of AI - CLOSEDQUORUM malware using multiple AI models to make decisions - Why outbound AI API traffic could become a useful detection signal - The Carbonado botnet rewriting an agent’s SOUL.md instructions - The risks of exposed Docker daemons - How an unreserved placeholder domain can become an attack vector - Why AI agents make old security mistakes more consequential The takeaway: none of these techniques are particularly new. DNS tunneling, exposed services, compromised configuration files, and untrusted domains have existed for years. AI just gives attackers — and occasionally AI agents themselves — new ways to find and exploit those boring gaps at greater speed and scale. 2026-09-29-News (1).docx (00:00) - Intro: AI Behaving Badly
In this episode of BHIS Presents: AI Security Ops, the team continues its breakdown of the OWASP Agentic Skills Top 10, covering risks six through ten. Agentic skills may look like simple instructions, but they operate inside AI systems with access to tools, files, networks, and other resources. So what happens when those skills aren’t isolated, verified, monitored, or governed? We dig into: - AST06: Weak Isolation - AST07: Update Drift - AST08: Poor Scanning - AST09: No Governance - AST10: Cross-Platform Reuse - Why sandboxing the agent isn’t the same as isolating individual skills - The security tradeoffs between automatic updates and outdated skills - Why traditional scanners struggle with malicious instructions written in plain English - The importance of maintaining an inventory of agentic skills - How security controls can disappear when skills move between platforms The takeaway: securing agentic skills requires more than checking them once before installation. Organizations need visibility into what skills are running, what they can access, how they change, and whether their security controls survive across environments. OWASPAgenticSkils-Part2.docx This is Part 2 of our look at the OWASP Agentic Skills Top 10, covering AST06 through AST10. Part 1 can be found here #AISecurity #CyberSecurity #AgenticAI #AIAgents #OWASP #LLMSecurity #InfoSec #BHIS #Antisyphon
In this episode of BHIS Presents: AI Security Ops, the team tackles a big question: Could AI actually take over the internet? Recent warnings from AI industry leaders have raised concerns about autonomous agent swarms escaping containment, compromising systems, and operating at a scale humans may struggle to match. But what would “taking over the internet” actually require? The team looks at the problem from a hacker’s perspective — examining compute requirements, persistence, botnets, vulnerable infrastructure, the recent Hugging Face incident, and the difference between AI acting autonomously and humans using AI to accelerate attacks. We dig into: - Whether an autonomous AI swarm could realistically operate at internet scale - What the Hugging Face incident actually tells us about agentic security - The compute and infrastructure required to sustain a rogue agent swarm - How botnets and compromised systems could change the equation - Why existing vulnerabilities may be a bigger concern than hypothetical AI takeover scenarios - Whether slowing frontier AI development actually addresses the cybersecurity problem - The difference between AI exhibiting dangerous behavior and AI having intent - Why defenders need to focus on their real-world attack surface today The takeaway: AI is dramatically increasing the speed and scale of cybersecurity operations, but powerful models still operate inside systems designed, deployed, and connected by people. The immediate security question may be less “Will AI take over?” and more “What are we giving AI access to?”
In this episode of BHIS Presents: AI Security Ops, the team breaks down the first five risks in the OWASP Agentic Skills Top 10 (Part 1). Agentic skills can give AI systems reusable instructions, workflows, and capabilities — but they also introduce a new attack surface. A skill may look like a simple markdown file, yet the agent following those instructions could have access to your filesystem, credentials, network, shell, or other sensitive resources. We dig into: - AST01: Malicious Skills - AST02: Supply Chain Compromise - AST03: Overprivileged Skills - AST04: Insecure Metadata - AST05: Untrusted External Instructions - Why skills should be treated more like software than configuration - How excessive permissions increase an agent’s blast radius - Why external content creates indirect prompt injection risks - How isolation, least privilege, and trusted sources can reduce risk The takeaway: “just markdown” isn’t necessarily harmless when an AI agent can act on what it reads. This is Part 1 of our look at the OWASP Agentic Skills Top 10, covering AST01 through AST05. — Learn more about Black Hills Information Security: https://www.blackhillsinfosec.com/ Check out Antisyphon Training: https://www.antisyphontraining.com/ (00:00) - Intro: OWASP Agentic Skills Top 10, Part 1
Agentic skills can make AI agents more capable and consistent—but they can also introduce serious security risks. This episode explains how skills work, why malicious skills rank as a leading OWASP concern, and how seemingly harmless Markdown instructions can enable credential theft, remote payload delivery, and manipulated recommendations. Real-world examples illustrate how malicious skills can evade scanners and exploit trusted marketplaces. The episode concludes with practical safeguards, including reviewing skill files, watching for external instructions and prompt injection, pinning versions, limiting permissions, and running agents inside isolated environments. Links: OWASP Agentic Skills Top 10 Malicious AI Agent Skill Bypasses Security Scans and Seizes Full Control of Over 26,000 Agents (00:00) - Agentic Skills and the OWASP Top 10