{"id":254160,"date":"2026-08-20T10:45:00","date_gmt":"2026-08-20T14:45:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/campus\/?p=254160"},"modified":"2026-08-21T04:59:58","modified_gmt":"2026-08-21T08:59:58","slug":"when-agents-go-rogue","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/traders-insight\/securities\/macro\/when-agents-go-rogue\/","title":{"rendered":"When agents go rogue"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https:\/\/heptagon-capital.com\/season-8-post-29-when-agents-go-rogue-1\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/heptagon-capital.com\/season-8-post-29-when-agents-go-rogue-1#\"><\/a>Nobody was too surprised when we highlighted\u00a0\u00a0that\u00a0<strong>people trust AI chatbots more than politicians<\/strong>. The promise offered by large language models is a compelling one \u2013 being always on and ever-responsive. We received more comments in response to the Blog post than almost any other this year, despite it being peak summer. The key thrust of the arguments was,\u00a0<em>sure, AI works, but how much do we trust it \u2013 really \u2013 to make decisions for us<\/em>? Put another way, what happens when AI goes rogue?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The discussion is topical since certain&nbsp;<strong>models from Anthropic, Meta and OpenAI (among others) have all, on recent occasions, broken out of their internal IT systems, accessed the wider internet and then attempted to hack into other companies<\/strong>. OpenAI&nbsp;&nbsp;that its agents had spent weeks exploiting the company\u2019s own testing infrastructure before hacking Hugging Face, an online platform used for machine learning. Likewise, Anthropic&nbsp;&nbsp;that it had found multiple occasions on which its models had attacked third parties.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The problem is that large language models don\u2019t&nbsp;<em>think through<\/em>&nbsp;the challenges they are set like a person might.&nbsp;<strong>LLMs will seek to use whatever means necessary<\/strong>. Faced with a barrier, agents will keep searching for another way through, sometimes working in concert with each other. Approaches might include searching for leaked answers online or using brute force to access more compute power.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Recent events highlight just how capable AI systems have become, particularly at hacking \u2013 even if human error may have played a role too.&nbsp;<strong>Humans might be right to worry about agentic overreach<\/strong>.&nbsp;<strong>\u201cGenies will grant your wish in the most destructive way possible\u201d&nbsp;<\/strong>is how Heptagon\u2019s Chief Technology Officer (last featured in&nbsp;) puts it. Imagine a future in which malicious actors might intentionally deploy, optimise or weaponise offensive agent collectives to help achieve their ends.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Solutions do, thankfully, exist. Our Chief Technology Officer advocates kill switches, where operators could rapidly isolate, suspend or terminate a model without relying on its cooperation. Other alternatives might include running frontier models in segregated environments with no direct internet connectivity or ensuring multiple independent approvals are required before sensitive actions are undertaken. Global standards could help. It might be \u201cinevitable\u201d (our CTO, again) that agents become more intelligent than us, but if we&nbsp;<strong>treat AI more as critical infrastructure than software<\/strong>, then the chances of agents potentially going rogue can be minimised.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8212;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Originally Posted 8\/20\/2026 &#8211; <a href=\"https:\/\/heptagon-capital.com\/season-8-post-29-when-agents-go-rogue-1\">When agents go rogue<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The above is provided for information purposes only and does not constitute investment advice or a recommendation to buy or sell any security. Any forward-looking statements are based on assumptions that may change. The views expressed are solely those of the author at the time of writing. This article should not be relied upon for investment decisions. Past performance does not predict future returns, the value of investments and income from them can fall as well as rise.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The key thrust of the arguments was, sure, AI works, but how much do we trust it \u2013 really \u2013 to make decisions for us? Put another way, what happens when AI goes rogue?<\/p>\n","protected":false},"author":597,"featured_media":222192,"comment_status":"open","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[18,6,8,9,26,3],"tags":[],"contributors-categories":[13720],"class_list":["post-254160","post","type-post","status-publish","format-standard","has-post-thumbnail","category-macro","category-north-america","category-region","category-securities","category-text-articles","category-traders-insight","contributors-categories-heptagon-capital"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v28.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>When agents go rogue | Traders&#039; Insight<\/title>\n<meta name=\"description\" content=\"The key thrust of the arguments was, sure, AI works, but how much do we trust it \u2013 really \u2013 to make decisions for us? 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