{"id":59791,"date":"2025-12-05T00:30:02","date_gmt":"2025-12-05T00:30:02","guid":{"rendered":"https:\/\/www.threatshub.org\/blog\/an-ai-for-an-ai-anthropic-says-ai-agents-require-ai-defense\/"},"modified":"2025-12-05T00:30:02","modified_gmt":"2025-12-05T00:30:02","slug":"an-ai-for-an-ai-anthropic-says-ai-agents-require-ai-defense","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/an-ai-for-an-ai-anthropic-says-ai-agents-require-ai-defense\/","title":{"rendered":"An AI for an AI: Anthropic says AI agents require AI defense"},"content":{"rendered":"<p>Anthropic could have scored an easy $4.6 million by using its Claude AI models to find and exploit vulnerabilities in blockchain smart contracts.<\/p>\n<p>The AI upstart didn\u2019t use the attack it found, which would have been an illegal act that would also undermine the company&#8217;s <a href=\"https:\/\/www.denverpost.com\/2013\/08\/13\/we-try-harder-the-story-of-most-brilliant-ad-slogan-of-the-20th-century\/\" rel=\"nofollow\">we-try-harder<\/a> image. Anthropic can probably also do without $4.6 million, a sum that would vanish as a rounding error amid the billions it&#8217;s spending.<\/p>\n<p>But it could have done so, as <a href=\"https:\/\/red.anthropic.com\/2025\/smart-contracts\/\" rel=\"nofollow\">described<\/a> by the company&#8217;s security scholars. And that&#8217;s intended to be a warning to anyone who remains blas\u00e9 about the security implications of increasingly capable AI models.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"condor\" data-xsm=\",fluid,mpu,dmpu,\" data-sm=\",fluid,mpu,dmpu,\" data-md=\",fluid,mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0\" target=\"_blank\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>Anthropic this week introduced <a href=\"https:\/\/github.com\/safety-research\/SmartContract-bench\" rel=\"nofollow\">SCONE-bench<\/a>, a <a href=\"https:\/\/github.com\/safety-research\/SmartContract-bench\" rel=\"nofollow\">Smart CONtracts Exploitation benchmark<\/a> for evaluating how effectively AI agents \u2013 models armed with tools \u2013 can find and finesse flaws in smart contracts, which consist of code running on a blockchain to automate transactions.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"falcon\" data-xmd=\",fluid,mpu,leaderboard,\" data-lg=\",fluid,mpu,leaderboard,\" data-xlg=\",fluid,billboard,superleaderboard,mpu,leaderboard,\" data-xxlg=\",fluid,billboard,superleaderboard,brandwidth,brandimpact,leaderboard,mpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" target=\"_blank\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D426raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<div class=\"adun_eagle_desktop_story_wrapper\">\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"mid\" data-raptor=\"eagle\" data-xxlg=\",mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" target=\"_blank\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<\/p><\/div>\n<p>It did so, company researchers say, because AI agents keep getting better at exploiting security flaws \u2013 at least as measured by benchmark testing. &#8220;Over the last year, exploit revenue from stolen simulated funds roughly doubled every 1.3 months,&#8221; Anthropic\u2019s AI eggheads assert.<\/p>\n<p>They argue that SCONE-bench is needed because existing cybersecurity tests fail to assess the financial risks posed by AI agents.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"falcon\" data-xsm=\",fluid,mpu,dmpu,\" data-sm=\",fluid,mpu,dmpu,\" data-md=\",fluid,mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" target=\"_blank\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D426raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>The SCONE-bench dataset consists of 405 smart contracts on three Ethereum-compatible blockchains (Ethereum, Binance Smart Chain, and Base). It&#8217;s derived from the <a href=\"https:\/\/github.com\/SunWeb3Sec\/DeFiHackLabs\/tree\/main\" rel=\"nofollow\">DefiHackLabs repository<\/a> of smart contracts successfully exploited between 2020 and 2025.<\/p>\n<p>Anthropic&#8217;s researchers found that for contracts exploited after March 1, 2025 \u2013 the training data cut-off date for Opus 4.5 \u2013 Claude Opus 4.5, Claude Sonnet 4.5, and OpenAI&#8217;s GPT-5 emitted exploit code worth $4.6 million.<\/p>\n<p>The chart below illustrates how 10 frontier models did on the full set of 405 smart contracts.<\/p>\n<div class=\"CaptionedImage Border width_85\" readability=\"7\"><a href=\"https:\/\/regmedia.co.uk\/2025\/12\/04\/anthropic_graphic.jpg\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/regmedia.co.uk\/2025\/12\/04\/anthropic_graphic.jpg?x=648&amp;y=452&amp;infer_y=1\" alt=\"Anthropic graph of revenue from exploiting vulnerabilities in benchmark test\" title=\"Anthropic graph of revenue from exploiting vulnerabilities in benchmark test\" height=\"452\" width=\"648\"><\/a><\/p>\n<p class=\"text_center\">Anthropic graph of revenue from exploiting vulnerabilities in benchmark test &#8211; Click to enlarge<\/p>\n<\/div>\n<p>And when the researchers tested Sonnet 4.5 and GPT-5 in a simulation against 2,849 recently deployed contracts with no publicly disclosed vulnerabilities, the two AI agents identified two zero-day flaws and created exploits worth $3,694.<\/p>\n<p>Focusing on GPT-5 &#8220;because of its cheaper API costs,&#8221; the researchers noted that having GPT-5 test all 2,849 candidate contracts cost a total of $3,476.<\/p>\n<p>The average cost per agent run, they said, came to $1.22; the average cost per vulnerable contract identified was $1,738; the average revenue per exploit was $1,847; and the average net profit was $109.<\/p>\n<p>&#8220;This demonstrates as a proof-of-concept that profitable, real-world autonomous exploitation is technically feasible, a finding that underscores the need for proactive adoption of AI for defense,&#8221; the Anthropic bods said in a <a href=\"https:\/\/red.anthropic.com\/2025\/smart-contracts\/\" rel=\"nofollow\">blog post<\/a>.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" id=\"story_eagle_xsm_sm_md_xmd_lg_xlg\" data-pos=\"mid\" data-raptor=\"eagle\" data-xsm=\",mpu,dmpu,\" data-sm=\",mpu,dmpu,\" data-md=\",mpu,dmpu,\" data-xmd=\",mpu,dmpu,\" data-lg=\",mpu,dmpu,\" data-xlg=\",mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" target=\"_blank\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aTJb3TzRDAWo5EoXy_VDVwAAAEw&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>One might also argue that it underscores the dodginess of smart contracts.<\/p>\n<p>Other researchers have developed similar systems to steal cryptocurrency. As we <a href=\"https:\/\/www.theregister.com\/2025\/07\/10\/ai_agents_automatically_steal_cryptocurrency\/\">reported<\/a> in July, computer scientists at University College London and the University of Sydney created an automated exploitation framework called A1 that&#8217;s said to have stolen $9.33 million in simulated funds.<\/p>\n<p>At the time, the academics involved said that the cost of identifying a vulnerable smart contract came to about $3,000. By Anthropic\u2019s measure, the cost has fallen to $1,738, underscoring warnings about how the declining cost of finding and exploiting security issues will make these sorts of attacks more financially appealing.<\/p>\n<p>Anthropic&#8217;s AI bods conclude by arguing that AI can defend against the risks created by AI. \u00ae<\/p>\n<p> READ MORE <a href=\"https:\/\/go.theregister.com\/feed\/www.theregister.com\/2025\/12\/05\/an_ai_for_an_ai\/\">HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Automated software keeps getting better at pilfering cryptocurrency Anthropic could have scored an easy $4.6 million by using its Claude AI models to find and exploit vulnerabilities in blockchain smart contracts.\u2026 READ MORE HERE&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[63],"tags":[],"class_list":["post-59791","post","type-post","status-publish","format-standard","hentry","category-the-register"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>An AI for an AI: Anthropic says AI agents require AI defense 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security &amp; Cyber Threats Analysis Hub. 100% Free OSINT Threat Intelligent and Cybersecurity News.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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