[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f1_DfdUN24FFzA3xI_jNT-WZ40ipJby2vYwgpZbFvmfw":3},{"article":4,"iocs":56,"watch_terms":57,"solutions":58,"lesson":86},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":33,"category":34,"article_tags":38},"1098b0fa-d187-445d-9f3b-a395ca6da4c7","‘Dangerous’ AI Models Are Coming No Matter What","dangerous-ai-models-are-coming-no-matter-what-f4d6db","The US government crackdown on Anthropic’s Claude Fable 5 and Mythos 5 hides a glaring truth: AI models with advanced hacking capabilities will soon be the norm.","The US government has directed Anthropic to take its Claude Fable 5 and Mythos 5 AI models offline due to concerns over advanced hacking capabilities that could pose a national security risk. Experts warn that similar AI models with dual-use potential for both defense and offense are inevitable and will soon be widely available, regardless of current restrictions.","US government restricts Anthropic's AI models due to hacking risks.","https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fdangerous-ai-models-are-coming-no-matter-what\u002F","https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F6a30202e9402edb0adc1701d\u002Fmaster\u002Fpass\u002FGettyImages-2280291188.jpg","2026-06-16T17:50:52+00:00","2026-06-16T18:00:24.246887+00:00",7,[17,20,22,25,28,31],{"name":18,"type":19},"Claude Fable 5","product",{"name":21,"type":19},"Mythos 5",{"name":23,"type":24},"Anthropic","vendor",{"name":26,"type":27},"bad actors","threat_actor",{"name":29,"type":30},"AI models","technology",{"name":32,"type":24},"OpenAI","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":33,"icon":35,"name":36,"slug":37},null,"AI Security","ai-security",[39,44,46,51],{"category":40},{"id":41,"icon":35,"name":42,"slug":43},"80544778-fabb-4dcd-aa35-17492e5dcf4f","Vulnerabilities","vulnerabilities",{"category":45},{"id":33,"icon":35,"name":36,"slug":37},{"category":47},{"id":48,"icon":35,"name":49,"slug":50},"c5c77cdb-f7d7-4990-9436-c81dcbff1163","Policy","policy",{"category":52},{"id":53,"icon":35,"name":54,"slug":55},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[23,32,18],{"controls":59,"vendors":85},[60],{"slug":37,"name":61,"problem":62,"products":63},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[64,72,80],{"vendor_slug":65,"vendor_name":66,"vendor_logo":67,"product_slug":68,"product_name":69,"url":70,"description":71},"cisco","Cisco","\u002Fvendor-logos\u002Fcisco.png","ai-defense","Cisco AI Defense","https:\u002F\u002Fwww.cisco.com\u002Fsite\u002Fus\u002Fen\u002Fproducts\u002Fsecurity\u002Fai-defense\u002Findex.html","Discovery of AI use, testing of models and guardrails for AI applications.",{"vendor_slug":73,"vendor_name":74,"vendor_logo":75,"product_slug":76,"product_name":77,"url":78,"description":79},"boomi","Boomi","\u002Fvendor-logos\u002Fboomi.png","boomi-ai-gateway","Boomi AI Gateway","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fai-gateway\u002F","Gateway for AI model and MCP tool traffic, built on Lunar.dev technology. It limits which tools each agent can call. Its enterprise version adds an approval step for new MCP servers and logs each call with the user or agent behind it.",{"vendor_slug":73,"vendor_name":74,"vendor_logo":75,"product_slug":81,"product_name":82,"url":83,"description":84},"boomi-agentstudio","Boomi Agentstudio","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fagentstudio\u002F","Agent builder whose Agent Control Tower registers and monitors Boomi agents and agents on Amazon Bedrock, Microsoft Copilot and other platforms, keeps audit logs and can switch agents off where the provider allows it.",[],{"slug":87,"title":88,"body":89,"framework_refs":90,"framework_notes":100},"dual-use-ai-models-pose-unavoidable-national-security-risk","Dual-Use AI Models Pose Unavoidable National Security Risk","The core issue is that advanced AI models capable of generating sophisticated cyberattack strategies represent a new class of dual-use technology that outpaces existing regulatory and governance frameworks. Government intervention to take specific models offline is a reactive measure that fails to address the broader reality: similar capabilities will emerge from multiple vendors and nation-state actors regardless of domestic restrictions. This matters because offensive cyber capabilities democratized through AI lower the barrier to entry for malicious actors, including those without traditional technical expertise. Organizations and governments must shift from reactive takedowns to proactive governance frameworks that anticipate and manage emerging AI risk. Without systemic controls, each new model generation compounds the threat landscape faster than policy can respond.",[91,92,93,94,95,96,97,98,99],"NIST AI RMF 1.0 - Govern 1.1 (AI Risk Policies)","NIST SP 800-53 RA-3 (Risk Assessment)","NIST SP 800-53 AC-20 (Use of External Systems)","CIS Control 3: Data Protection","CIS Control 16: Application Software Security","EU AI Act - Article 6 (High-Risk AI Classification)","GDPR Article 25 (Data Protection by Design)","ITIL 4 - Risk Management Practice","MITRE ATLAS - AI-Specific Threat Framework",{}]