{"id":7988,"date":"2025-09-15T15:37:36","date_gmt":"2025-09-15T20:37:36","guid":{"rendered":"https:\/\/cyberscoop.com\/?p=85986"},"modified":"2025-09-15T15:37:36","modified_gmt":"2025-09-15T20:37:36","slug":"top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety","status":"publish","type":"post","link":"https:\/\/ddi.mohflo.net\/index.php\/2025\/09\/15\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety\/","title":{"rendered":"Top AI companies have spent months working with US, UK governments on model safety"},"content":{"rendered":"<p><head> <meta charset=\"UTF-8\"> <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"> <meta name=\"robots\" content=\"index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1\"> <!-- This site is optimized with the Yoast SEO Premium plugin v24.5 (Yoast SEO v24.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ --> <title>Top AI companies have spent months 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Anthropic said they turned over their models to government researchers, who found an array of previously undiscovered vulnerabilities and attack techniques. <\/p>\n<p> <!-- Listen to this article section --> <!-- Audio Element --><br \/>\n<audio id=\"audio-player\" src=\"https:\/\/wp-tts-cdn.api.scpnewsgrp.com\/cyberscoop\/85986\/english.openai.mp3\"><\/audio> <\/p>\n<div readability=\"11\">\n<div>\n<p>Listen to this article<\/p>\n<p> <!-- Countdown Timer --> <\/p>\n<p>0:00<\/p>\n<\/p><\/div>\n<p> <!-- Tooltip --> <\/p>\n<p> <span id=\"tts-tooltip\">Learn more.<\/span> <span> This feature uses an automated voice, which may result in occasional errors in pronunciation, tone, or sentiment. <\/span> <\/p>\n<\/div>\n<p> <!-- End of audio player --> <\/div>\n<div class=\"single-article__cover-wrap\">\n<figure class=\"single-article__cover\"> <img data-recalc-dims=\"1\" fetchpriority=\"high\" width=\"640\" height=\"426\" src=\"https:\/\/i0.wp.com\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety.jpg?resize=640%2C426&#038;ssl=1\" class=\"single-article__cover-image wp-post-image\" alt decoding=\"async\" fetchpriority=\"high\" srcset=\"https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety-2.jpg 6240w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety-2.jpg?resize=300,200 300w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety-2.jpg?resize=768,512 768w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety-2.jpg?resize=1024,683 1024w, 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1013w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety-2.jpg?resize=1265,843 1265w\" sizes=\"(max-width: 1013px) 100vw, 1013px\"><figcaption> OpenAI and Anthropic said they turned over their models to government researchers, who found an array of previously undiscovered vulnerabilities and attack techniques. (Image via Getty) <\/figcaption><\/figure>\n<\/p><\/div>\n<\/header>\n<div class=\"single-article__content\">\n<div class=\"single-article__content-inner has-drop-cap\"> <html readability=\"58.243216157879\"><body readability=\"117.83234647268\"><\/p>\n<p>Both OpenAI and Anthropic said earlier this month they are working with the U.S. and U.K. governments to bolster the safety and security of their commercial large language models in order to make them harder to abuse or misuse.<\/p>\n<p>In a pair of blogs posted to their websites Friday, the companies said for the past year or so they have been working with researchers at the National Institute of Standards and Technology\u2019s U.S. Center for AI Standards for Innovation and the U.K. AI Security Institute.<\/p>\n<p>That collaboration included granting government researchers access to the&nbsp; companies\u2019 models, classifiers, and training data. Its purpose has been to enable independent experts to assess how resilient the models are to outside attacks from malicious hackers, as well as their effectiveness in blocking legitimate users from leveraging the technology for legally or ethically questionable purposes.<\/p>\n<p>OpenAI\u2019s <a href=\"https:\/\/openai.com\/index\/us-caisi-uk-aisi-ai-update\/\">blog<\/a> details the work with the institutes, which studied&nbsp; the capabilities of ChatGPT in cyber, chemical-biological and \u201cother national security relevant domains.\u201dThat partnership has since been expanded to newer products, including red-teaming the company\u2019s AI agents and exploring new ways for OpenAI \u201cto partner with external evaluators to find and fix security vulnerabilities.\u201d<\/p>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>OpenAI already works with selected red-teamers who scour their products for vulnerabilities, so the announcement suggests the company may be exploring a separate red-teaming process for its AI agents.<\/p>\n<p>According to OpenAI, the engagement with NIST yielded insights around two novel vulnerabilities affecting their systems. Those vulnerabilities \u201ccould have allowed a sophisticated attacker to bypass our security protections, and to remotely control the computer systems the agent could access for that session and successfully impersonate the user for other websites they\u2019d logged into,\u201d the company said.<\/p>\n<p>Initially, engineers at OpenAI believed the vulnerabilities were unexploitable and \u201cuseless\u201d due to existing security safeguards. But researchers identified a way to combine the vulnerabilities with a known AI hijacking technique \u2014 which corrupts the underlying context data the agent relies on to guide its behavior \u2014 that allowed them to take over another user\u2019s agent with a 50% success rate.&nbsp;&nbsp;<\/p>\n<p>Between May and August, OpenAI worked&nbsp; with researchers at the U.K. AI Security Institute to test and improve safeguards in GPT5 and ChatGPT Agent. The engagement focused on red-teaming the models to prevent biological misuse \u2014&nbsp; preventing the model from providing step-by-step instructions for making bombs, chemical or biological weapons.<\/p>\n<p>The company said it provided the British government with non-public prototypes of its safeguard systems, test models stripped of any guardrails, internal policy guidance on its safety work, access to internal safety monitoring models and other bespoke tooling.<\/p>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>Anthropic also <a href=\"https:\/\/www.anthropic.com\/news\/strengthening-our-safeguards-through-collaboration-with-us-caisi-and-uk-aisi\">said<\/a> it gave U.S. and U.K. government researchers access to its Claude AI systems for ongoing testing and research at different stages of development, as well as its classifier system for finding jailbreak vulnerabilities.<\/p>\n<p>That work identified several prompt injection attacks that bypassed safety protections within Claude \u2014 again by poisoning the context the model relies on with hidden, malicious prompts \u2014 as well as a new universal jailbreak method capable of evading standard detection tools. The jailbreak vulnerability was so severe that Anthropic opted to restructure its entire safeguard architecture rather than attempt to patch it.<\/p>\n<p>Anthropic said the collaboration taught the company that giving government red-teamers deeper access to their systems could lead to more sophisticated vulnerability discovery.<\/p>\n<p>\u201cGovernments bring unique capabilities to this work, particularly deep expertise in national security areas like cybersecurity, intelligence analysis, and threat modeling that enables them to evaluate specific attack vectors and defense mechanisms when paired with their machine learning expertise,\u201d Anthropic\u2019s blog stated.<\/p>\n<p>OpenAI and Anthropic\u2019s work with the U.S. and U.K. comes as some AI safety and security experts have questioned whether those governments and AI companies may be deprioritizing technical safety guardrails as policymakers seek to give their domestic industries maximal freedom to compete with China and other competitors for global market dominance.<\/p>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>After coming into office, U.S. Vice President JD Vance downplayed the importance of AI safety at international summits, while British Labour Party Prime Minister Keir Starmer reportedly <a href=\"https:\/\/www.politico.eu\/article\/britain-led-the-world-ai-safety-now-waiting-donald-trump\/\">walked back<\/a> a promise in the party\u2019s election manifesto to enforce safety regulations on AI companies following Donald Trump\u2019s election. A more symbolic example: both the U.S. and U.K. government AI institutes changed their names this earlier year to remove the word \u201csafety.\u201d<\/p>\n<p>But the collaborations indicate that some of that work remains ongoing, and not every security researcher agrees that the models are necessarily getting worse.<\/p>\n<p>Md Raz, a Ph.D student at New York University who is part of a team of researchers <a href=\"https:\/\/cyberscoop.com\/ai-ransomware-promptlock-nyu-behind-code-discovered-by-security-researchers\/\">that study cybersecurity and AI systems<\/a>, told CyberScoop that in his experience commercial models are getting harder, not easier, to jailbreak with each new release.<\/p>\n<p>\u201cDefinitely over the past few years I think between GPT4 and GPT 5 \u2026 I saw a lot more guardrails in GPT5, where GPT5 will put the pieces together before it replies and sometimes it will say, \u2018no, I\u2019m not going to do that.\u2019\u201d<\/p>\n<p>Other AI tools, like coding models \u201care a lot less thoughtful about the bigger picture\u201d of what they\u2019re being asked to do and whether it\u2019s malicious or not, he added, while open-source models are \u201cmost likely to do what you say\u201d and existing guardrails can be more easily circumvented.<\/p>\n<p><\/body> <\/p>\n<footer class=\"single-article__footer\" readability=\"3.4494773519164\">\n<div class=\"author-card\" readability=\"13\">\n<div class=\"author-card__avatar\">\n<figure class=\"author-card__image-wrap\"> <img data-recalc-dims=\"1\" decoding=\"async\" class=\"author-card__image\" src=\"https:\/\/i0.wp.com\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/top-ai-companies-have-spent-months-working-with-us-uk-governments-on-model-safety-1.jpg?w=640&#038;ssl=1\" alt=\"Derek B. 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