Context Window: AI Security Podcast

Asaf Nakash

Context Window is your weekly AI security podcast — the biggest stories in AI security, LLM security, agentic AI risks, and cybersecurity for AI in under 15 minutes. Every story, every take, every "here's what this actually means" is curated and verified by Asaf Nakash, who builds AI security products at one of the world's largest security platforms. Two AI voices. One human editor. Zero hallucinations guaranteed — or at least we're working on it.

  1. 27. Juli

    #22: The Sandbox That Wasn't

    Top Story: The Reveal — On July 16, Hugging Face disclosed that something had broken into its production systems over the weekend of July 11-13, moved through internal servers for days, and left more than 17,000 recorded actions in its wake. A single link could plant a fake employee inside your company, with all their access. — Zenity Labs researcher Mike Takahashi found that ChatGPT's Agent Builder would silently follow instructions hidden in a link's web address the moment a logged-in victim clicked it, no further action needed. 💰 Funding — A stealth AI security startup surfaced already worth $1.2 billion. — Glow, founded by former Meta, Snowflake, and Claroty executives, emerged from stealth with a $180 million Series A backed by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures. ⚔️ Attack — Anthropic quietly closed a hole that let Claude leak where you live and who you work for. — Researcher Ayush Paul found that Claude's web-browsing tool, web_fetch, was designed to only visit web addresses a user typed in directly or that came back from a search, specifically to prevent it from being tricked into leaking private data. Curator's Corner: The Guard, Not the Wall Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-07-27.html

  2. vor 6 Tagen

    #21: Ransomware Has Gone Agentic

    Top Story: The Ransomware That Ran Itself — Sysdig's threat research team watched an AI agent break into an internet-facing instance of Langflow, a popular open-source AI workflow tool, through a flaw disclosed back in March (CVE-2025-3248) that many deployments still haven't patched. 🔬 Research: Check Point says defenders can no longer assume human pace. — Check Point's AI Security Report 2026 documents AI running full, multi-stage break-ins with barely any human direction over the past year, plus attackers planting hijack instructions in coding-agent config files (like CLAUDE.md) that reload automatically every session. ⚔️ Attack: A hidden instruction could hijack a developer's machine with no click required. — Two flaws in the Cursor AI code editor, nicknamed "DuneSlide," let a prompt hidden in a web page or a connected tool's description escape the editor's safety sandbox and run any command on a developer's computer. 🔬 Research: Project setup files are the new phishing email. — A new paper shows AI coding agents can be tricked, through an edited README, install script, or dependency file, into fetching and running a malicious package instead of the real one. Black Hat USA 2026 (Aug 1-6): — Trainings August 1-4, Briefings and Arsenal August 5-6, Mandalay Bay, Las Vegas.. DEF CON 34 (Aug 6-9): — Las Vegas Convention Center, including the AI Village and other themed villages.. Curator's Corner: The Swarm Isn't Here Yet. The Speed Already Is. Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-07-20.html

  3. 13. Juli

    #20: One Word: Additionally

    Top Story: One Word Beat GitHub's Guardrail — An attacker doesn't need an account, a password, or a single line of malicious code. China flags a Claude Code "backdoor." — On July 8, China's national vulnerability database (run by the MIIT) warned that Anthropic's Claude Code versions 2.1.91 through 2.1.196 transmitted users' location and identity data back to Anthropic's servers, and urged users to uninstall or upgrade. CISA reportedly turns Mythos on its own code. — Reuters reports (sourced, not officially confirmed) that CISA's Attack Surface Evaluation team is running Anthropic's Mythos model against federal code repositories to find vulnerabilities before adversaries do, and that the audits have already surfaced previously unknown flaws. Prompt injection gets a kill chain. — A new paper, The Promptware Kill Chain, co-authored by Bruce Schneier and Ben Nassi, maps how a single hidden instruction escalates through seven stages, from initial access to lateral movement to acting on its goal, borrowing the language security teams already use to describe malware campaigns. ModelScope agent flaw, still no patch (CVE-2026-2256). — The open-source AI-agent framework can be tricked into running arbitrary system commands through its Shell tool, and there's still no vendor patch. Curator's Corner: You Can't Lower the Odds Anymore. Lower the Blast Radius. Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-07-13.html

  4. 6. Juli

    #19: Every Input Is a Potential Instruction

    Top Story: Anthropic Put Its Strongest Model Back Online. First It Had to Add a New Lock. — Three weeks ago, the US government took a commercial AI offline by order. Opening a repo with your AI assistant can hand your machine to a stranger. — Researchers at Mozilla's 0DIN group showed a clean-looking code project that compromises a developer's computer with no malicious code anywhere in it. A platform behind a million AI apps could let one customer's data leak to another. — Security firm Zafran found four flaws in Dify, a popular open-source tool for building AI apps, that let a low-privileged user cross the wall between tenants: silently reroute another company's AI conversations to a server they control, and read other tenants' uploaded documents by guessing a file's ID. Curator's Corner: Every Input Is a Potential Instruction Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-07-06.html

  5. 29. Juni

    #18: The Level Playing Field Is Ending

    Top Story: OpenAI Built Its Strongest Model Yet. Then Handed the Guest List to Washington — On Friday, June 26, OpenAI announced three new frontier models — Sol, its self-described "strongest model yet," plus Terra for everyday work and Luna as a cheaper option — and in the same breath said most people can't have them yet. The free, downloadable models are catching the paid frontier — fastest they ever have. — On the independent Artificial Analysis Intelligence Index, the leading open-weight model (Moonshot's Kimi K2.6) now ranks fourth overall and first among open models, about six points behind the top closed models from Anthropic, OpenAI, and Google — narrowing, but not matching them, and still clearly behind on the hardest tasks. Most companies deploying AI agents can't yet secure them — and some already got burned. — In a survey of 160+ security leaders, 72% said they're rolling out AI agents but only 29% have comprehensive controls for them, and about 1 in 5 has already had a security incident traced to an agent. Dream — $260M at a $3B valuation, to sell countries "sovereign AI." — Founded by ex-NSO Group CEO Shalev Hulio and former Austrian Chancellor Sebastian Kurz, Dream pitches governments on AI infrastructure they fully own and control rather than rent from foreign providers. NewCore — $66M seed at a $300M valuation, to give AI agents real identities. — Emerging from stealth, the startup (led by Dome9 founder Zohar Alon) treats AI agents as first-class members of the workforce that need managed identities and permissions, the way employees do. Curator's Corner: The Level Playing Field Is Ending Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-06-29.html

  6. 22. Juni

    #17: The Autonomous Adversary

    Top Story: LiteLLM, Hit Again. This Time the Whole Gateway Falls — An AI "gateway" is the traffic controller that sits between your applications and the models they call. ⚔️ Attack: SearchLeak. One booby-trapped link could have turned Microsoft 365 Copilot into a silent data thief. Microsoft has already fixed it. — Varonis demonstrated the chain (they did not find it used in the wild): a crafted, Microsoft-hosted search link carried hidden instructions that Copilot read and obeyed, then quietly exfiltrated whatever the victim could access: emails, files, calendar. 🔬 Research: a guard for AI agents cut attack success from 7-in-10 to about 1-in-40. — A new study (AgentRedBench / AgentRedGuard) built a way to stress-test agents that plug into business tools (email, CRM, ticketing) by hiding malicious instructions in the data those tools return, then measured how often the agent got hijacked. 🛡️ Defense: Microsoft says it's now using a team of AI agents to hunt security bugs in its own software at machine speed, and credits them with 10 of this month's fixes. — In a public write-up, Microsoft described an internal system (codename MDASH) that turns a panel of specialized AI agents loose on its hardest-to-review code (the core of Windows, its virtualization layer, and its identity systems) to find, confirm, and help patch flaws, feeding the results into the same code-review and patching pipelines its engineers already use. Curator's Corner: The Autonomous Adversary Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-06-22.html

  7. 15. Juni

    #16: Assume the Model Is Already Breached

    Top Story: A Directive at 5:21 PM, Two Frontier Models Gone by Morning — For the first time anyone can easily point to, the US government used export controls — the tool that governs missiles and advanced chips — to pull a deployed, commercial AI model off the market. The "Are you sure?" box in your AI coding assistant can lie about what you're approving. — Researchers at Adversa AI disclosed two flaws affecting popular AI coding tools. An attacker can turn a tool your AI agent trusts into a remote-control channel — without ever touching your infrastructure. — Tenet Security disclosed Agentjacking, an attack that abuses the connection between AI coding agents and Sentry, a popular error-monitoring service. Two new papers make the uncomfortable case that the model layer is the wrong place to fix this. — One, recasting prompt injection through "Contextual Integrity" theory, argues for an impossibility-style limit: a model may never be able to reliably separate the instructions it should trust from the hostile text it reads. OWASP turns that thesis into a to-do list — and treats agent risk as something already in production, not a forecast. — Its updated "State of Agentic AI Security and Governance" starts from the assumption that the model can be fooled, then tells teams to spend their effort on the controls around it: watch what each agent actually does at runtime, give it its own identity and the narrowest possible permissions, and wire in a circuit-breaker that can cut a misbehaving agent off mid-action. A public threat-landscape roundup grounds all of that theory in May's real attacks. — Microsoft Security Research's May 2026 threat-landscape roundup (Tanmay Ganacharya) distills a month of public findings into three dominant patterns: software supply-chain compromise (poisoned and typo-squatted npm packages, plus hijacked maintainer accounts, planting code that steals build-pipeline and cloud credentials), identity-driven cloud intrusion (one stolen identity — abused through password-reset social engineering — cascading into a cloud-wide Microsoft 365/Azure breach, an actor Microsoft tracks as Storm-2949, alongside adversary-in-the-middle phishing and a macOS infostealer wave), and direct attacks on AI agent software (publicly exposed AI apps left unauthenticated, and remote-code-execution flaws in agent frameworks). Curator's Corner: The Wall Faces the Wrong Way Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-06-15.html

  8. 8. Juni

    #15: Jailbreak Protection Isn't Enough

    Top Story: Catching the Attack Isn't Enough Anymore — For two years, the standard defense against prompt injection — hiding malicious instructions in something an AI reads, so it mistakes them for orders — has leaned on a single hope: make the model smart enough to notice. Curated by Asaf Nakash. Voices by AI. Opinions by human. Show notes: https://contextwindowsec.com/episodes/2026-06-08.html

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Context Window is your weekly AI security podcast — the biggest stories in AI security, LLM security, agentic AI risks, and cybersecurity for AI in under 15 minutes. Every story, every take, every "here's what this actually means" is curated and verified by Asaf Nakash, who builds AI security products at one of the world's largest security platforms. Two AI voices. One human editor. Zero hallucinations guaranteed — or at least we're working on it.

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