[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-anthropic-mythos-private-bank-risk-fears-en":3,"tags-anthropic-mythos-private-bank-risk-fears-en":30,"related-lang-anthropic-mythos-private-bank-risk-fears-en":41,"related-posts-anthropic-mythos-private-bank-risk-fears-en":45,"series-industry-56125b99-114b-4e1d-86eb-7858e928deda":82},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":18,"translated_content":10,"views":19,"is_premium":20,"created_at":21,"updated_at":21,"cover_image":11,"published_at":22,"rewrite_status":23,"rewrite_error":10,"rewritten_from_id":24,"slug":25,"category":26,"related_article_id":27,"status":28,"google_indexed_at":29,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":20},"56125b99-114b-4e1d-86eb-7858e928deda","Anthropic’s Mythos stays private after bank risk fears","\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> is taking a very different path with Claude \u003Ca href=\"\u002Fnews\u002Fanthropic-mythos-preview-project-glasswing-cybersecurity-en\">Mythos Preview\u003C\u002Fa>: it will not go public, and the company is asking a select group to stress-test it first. The move comes after Reuters reported that \u003Ca href=\"https:\u002F\u002Fwww.reuters.com\u002Flegal\u002Flitigation\u002Fai-boosted-hacks-with-anthropics-mythos-could-have-dire-consequences-banks-2026-04-13\u002F\" target=\"_blank\" rel=\"noopener\">AI-boosted hacks could have serious consequences for banks\u003C\u002Fa>, which is exactly the kind of risk Anthropic seems to be trying to contain before wider release.\u003C\u002Fp>\u003Cp>Instead of a standard launch, Anthropic announced \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\" target=\"_blank\" rel=\"noopener\">Project Glasswing\u003C\u002Fa>, a private evaluation program that includes major tech companies, cybersecurity vendors, \u003Ca href=\"https:\u002F\u002Fwww.jpmorganchase.com\" target=\"_blank\" rel=\"noopener\">JPMorgan Chase\u003C\u002Fa>, and dozens of other organizations. The idea is simple: let the people most likely to face the damage test the model first, then use that feedback to harden defenses.\u003C\u002Fp>\u003Cp>This is also a reminder that model releases are no longer just about capability. They are about who gets access, what they can do with it, and how quickly defenders can respond when the same tool that writes code can also help attackers automate abuse.\u003C\u002Fp>\u003Ch2>Why Anthropic chose a private rollout\u003C\u002Fh2>\u003Cp>Anthropic’s decision to keep \u003Ca href=\"\u002Fnews\u002Fclaude-mythos-preview-beats-gpt-54-gemini-benchmarks-en\">Claude Mythos Preview\u003C\u002Fa> out of general circulation reflects a bigger shift in the AI industry. A model with stronger reasoning, faster tool use, and better code generation can help defenders patch systems faster, but it can also lower the skill bar for phishing, credential theft, and targeted intrusion attempts.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776298013124-xgxy.png\" alt=\"Anthropic’s Mythos stays private after bank risk fears\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That tension is why the company is treating this model more like a controlled security exercise than a consumer product launch. Project Glasswing gives Anthropic a way to collect feedback from institutions that already spend heavily on threat detection, incident response, and fraud prevention.\u003C\u002Fp>\u003Cp>The participants matter here. A bank like JPMorgan Chase does not evaluate a model the same way a startup does. Financial institutions care about fraud chains, account takeover, social engineering, and internal misuse. Cybersecurity vendors care about exploit development, detection gaps, and how quickly a model can be turned into an offensive assistant.\u003C\u002Fp>\u003Cul>\u003Cli>Claude Mythos Preview will not be generally available, according to Anthropic.\u003C\u002Fli>\u003Cli>Project Glasswing includes major tech companies, security vendors, JPMorgan Chase, and several dozen other organizations.\u003C\u002Fli>\u003Cli>The private program is meant to help participants prepare defenses before wider exposure.\u003C\u002Fli>\u003Cli>Reuters tied the announcement to concerns about AI-assisted attacks on banks.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>The bank risk problem is getting more specific\u003C\u002Fh2>\u003Cp>Financial services have always been a target, but AI changes the economics. Attackers do not need to be elite operators to write convincing lures, summarize stolen data, or automate reconnaissance across many targets. That means a model release can create risk even if the model never directly generates malware.\u003C\u002Fp>\u003Cp>Anthropic has spent much of its public messaging around Claude on safety, evaluation, and controlled deployment. That makes Project Glasswing feel consistent with the company’s posture, even if it also highlights a hard truth: the better a model gets at useful work, the easier it can become to abuse at scale.\u003C\u002Fp>\u003Cblockquote>“AI is a general-purpose technology, and like all such technologies, it can be used for good or bad.” — Dario Amodei, Anthropic co-founder and CEO\u003C\u002Fblockquote>\u003Cp>Amodei said that in a 2023 interview with \u003Ca href=\"https:\u002F\u002Fwww.ft.com\u002F\" target=\"_blank\" rel=\"noopener\">Financial Times\u003C\u002Fa>, and it fits the logic of this release strategy. If a model can help analysts summarize threats, it can also help attackers iterate on scams and intrusion workflows faster than before.\u003C\u002Fp>\u003Cp>That does not mean every powerful model should stay locked away forever. It does mean the first users of a high-risk model should include the people who defend payment rails, identity systems, and corporate networks. Anthropic is betting that private evaluation reduces the odds of a public surprise.\u003C\u002Fp>\u003Ch2>How this compares with other AI releases\u003C\u002Fh2>\u003Cp>Anthropic is not alone in using staged access, but the company is being unusually explicit about the reason. Some AI labs release a model, then publish safety notes after the fact. Others run limited previews with selected partners. Project Glasswing leans hard into the second approach.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776298022736-fuk3.png\" alt=\"Anthropic’s Mythos stays private after bank risk fears\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That matters because the cost of a bad release is much higher in finance than in many other sectors. A weak prompt filter or a missed abuse pattern can turn into credential theft, fraudulent wire attempts, or internal policy evasion. Even a small increase in attacker productivity can have outsized effects when the target is a bank.\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> has used staged rollouts and safety testing for frontier models, but it typically pairs those with broader public access later.\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fdeepmind.google\" target=\"_blank\" rel=\"noopener\">Google DeepMind\u003C\u002Fa> often publishes research and safety work alongside model announcements, which makes external scrutiny easier.\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude\u003C\u002Fa> has long been positioned as a safety-focused assistant, and this private preview keeps that image intact.\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.cisa.gov\" target=\"_blank\" rel=\"noopener\">CISA\u003C\u002Fa> has repeatedly warned that AI can amplify phishing and fraud, especially when paired with stolen credentials.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>There is also a practical difference between a model that is merely capable and a model that is available. Once a public API exists, attackers can automate abuse at scale. A private preview keeps the blast radius smaller while defenders test rate limits, policy filters, and anomaly detection against realistic behavior.\u003C\u002Fp>\u003Cp>For banks, that is worth real money. The cost of a single successful fraud campaign can outweigh months of evaluation work. For model makers, the tradeoff is slower adoption in exchange for fewer headlines about misuse.\u003C\u002Fp>\u003Ch2>What Project Glasswing means for the rest of the industry\u003C\u002Fh2>\u003Cp>Project Glasswing is a sign that AI vendors are being pushed to act more like security vendors. The old release playbook, where a model ships and the market sorts it out, is getting harder to defend when the model can materially change attack speed and quality.\u003C\u002Fp>\u003Cp>It also raises a question for enterprise buyers: do you want first access, or first warning? Anthropic is clearly choosing warning. If the private testing uncovers abuse paths that are easy to automate, the company may hold the model back longer or narrow the release further.\u003C\u002Fp>\u003Cp>That is the right call for a model touching financial infrastructure. The next few months should tell us whether Project Glasswing becomes a template for other high-risk releases or stays a one-off response to bank security concerns. If the private testers find serious abuse patterns, expect more AI labs to copy this playbook before they ship their next frontier model.\u003C\u002Fp>","Anthropic is keeping Claude Mythos Preview private and inviting banks, tech firms, and security vendors to test defenses first.","www.reuters.com","https:\u002F\u002Fwww.reuters.com\u002Flegal\u002Flitigation\u002Fai-boosted-hacks-with-anthropics-mythos-could-have-dire-consequences-banks-2026-04-13\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776298013124-xgxy.png",[13,14,15,16,17],"Anthropic","Claude Mythos Preview","Project Glasswing","bank security","AI safety","en",0,false,"2026-04-16T00:06:31.440553+00:00","2026-04-16T00:06:31.412+00:00","done","e953d6d6-19a1-4a40-b31b-a01cb5436351","anthropic-mythos-private-bank-risk-fears-en","industry","b6b20f96-ef54-4489-9258-3af992525d67","published","2026-04-16T09:00:08.68+00:00",[31,33,35,37,39],{"name":14,"slug":32},"claude-mythos-preview",{"name":13,"slug":34},"anthropic",{"name":17,"slug":36},"ai-safety",{"name":15,"slug":38},"project-glasswing",{"name":16,"slug":40},"bank-security",{"id":27,"slug":42,"title":43,"language":44},"anthropic-mythos-private-bank-risk-fears-zh","Anthropic 讓 Mythos 先私測","zh",[46,52,58,64,70,76],{"id":47,"slug":48,"title":49,"cover_image":50,"image_url":50,"created_at":51,"category":26},"cf1863f5-624d-4b5f-bc32-d469c2149866","why-ai-infrastructure-is-now-the-real-moat-en","Why AI infrastructure is now the real moat","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778875858866-4ikl.png","2026-05-15T20:10:38.090619+00:00",{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"category":26},"6ff3920d-c8ea-4cf3-8543-9cf9efc3fe36","circles-agent-stack-targets-machine-speed-payments-en","Circle’s Agent Stack targets machine-speed payments","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871659638-hur1.png","2026-05-15T19:00:44.756112+00:00",{"id":59,"slug":60,"title":61,"cover_image":62,"image_url":62,"created_at":63,"category":26},"1270e2f4-6f3b-4772-9075-87c54b07a8d1","iren-signs-nvidia-ai-infrastructure-pact-en","IREN signs Nvidia AI infrastructure pact","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871059665-3vhi.png","2026-05-15T18:50:38.162691+00:00",{"id":65,"slug":66,"title":67,"cover_image":68,"image_url":68,"created_at":69,"category":26},"b308c85e-ee9c-4de6-b702-dfad6d8da36f","circle-agent-stack-ai-payments-en","Circle launches Agent Stack for AI payments","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778870450891-zv1j.png","2026-05-15T18:40:31.462625+00:00",{"id":71,"slug":72,"title":73,"cover_image":74,"image_url":74,"created_at":75,"category":26},"f7028083-46ba-493b-a3db-dd6616a8c21f","why-nebius-ai-pivot-is-more-real-than-hype-en","Why Nebius’s AI Pivot Is More Real Than Hype","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778823055711-tbfv.png","2026-05-15T05:30:26.829489+00:00",{"id":77,"slug":78,"title":79,"cover_image":80,"image_url":80,"created_at":81,"category":26},"b63692ed-db6a-4dbd-b771-e1babdc94af7","nvidia-backs-corning-factories-with-billions-en","Nvidia backs Corning factories with billions","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778822444685-tvx6.png","2026-05-15T05:20:28.914908+00:00",[83,88,93,98,103,108,113,118,123,128],{"id":84,"slug":85,"title":86,"created_at":87},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":94,"slug":95,"title":96,"created_at":97},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":99,"slug":100,"title":101,"created_at":102},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":104,"slug":105,"title":106,"created_at":107},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":109,"slug":110,"title":111,"created_at":112},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":114,"slug":115,"title":116,"created_at":117},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results Unveiled","2026-03-25T16:29:15.482836+00:00",{"id":119,"slug":120,"title":121,"created_at":122},"bf888e9d-08be-4f47-996c-7b24b5ab3500","accenture-mistral-ai-deployment-en","Accenture and Mistral AI Team Up for AI Deployment","2026-03-25T16:31:01.894655+00:00",{"id":124,"slug":125,"title":126,"created_at":127},"5382b536-fad2-49c6-ac85-9eb2bae49f35","mistral-ai-high-stakes-2026-en","Mistral AI: Facing High Stakes in 2026","2026-03-25T16:31:39.941974+00:00",{"id":129,"slug":130,"title":131,"created_at":132},"9da3d2d6-b669-4971-ba1d-17fdb3548ed5","cursors-meteoric-rise-pressures-en","Cursor's Meteoric Rise Faces Industry Pressures","2026-03-25T16:32:21.899217+00:00"]