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<\/div>\n<\/div>\n<section id=\"stickybar\" class=\"stickybar stickybar--newsletter js-stickybar\" readability=\"0.82\"> <button class=\"stickybar__close js-stickybar-close\" aria-controls=\"stickybar\"> <svg class=\"icon icon--close\" width=\"21\" height=\"22\" viewBox=\"0 0 21 22\" fill=\"none\"><path d=\"m.822.518-.805.805L9.695 11 .017 20.678l.805.805 9.678-9.678 9.677 9.678.806-.805L11.305 11l9.678-9.677-.806-.805-9.677 9.677L.822.518Z\" fill=\"currentColor\" \/><\/svg> <span class=\"visually-hidden\">Close<\/span> <\/button> <\/section>\n<article class=\"single-article content\">\n<div class=\"single-article__container js-single-article-content\">\n<header class=\"single-article__header \" readability=\"26.183193277311\">\n<div class=\"single-article__header-content\" readability=\"35.371638141809\">\n<p> Even with all the testing, the company said in its released research that the model tightened up once it was \u201caware\u201d it was being evaluated. <\/p>\n<p>  <br \/>\n<audio id=\"audio-player\" src=\"https:\/\/wp-tts-cdn.api.scpnewsgrp.com\/cyberscoop\/86179\/english.openai.mp3\"><\/audio> <\/p>\n<div readability=\"11\">\n<div>\n<p>Listen to this article<\/p>\n<p>  <\/p>\n<p>0:00<\/p>\n<\/p><\/div>\n<p>  <\/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>  <\/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\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5.jpg?resize=640%2C426&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\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg 6240w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=300,200 300w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=768,512 768w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=1024,683 1024w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=1536,1024 1536w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=2048,1365 2048w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=600,400 600w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=252,168 252w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=506,337 506w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.jpg?resize=1013,675 1013w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/09\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-2.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=\"78.462056823701\"><body readability=\"158.43966531573\"><\/p>\n<p>Anthropic\u2019s new coding-focused large language model, Claude Sonnet 4.5, is being touted as one of the most advanced models on the market when it comes to safety and security, with the company claiming the additional effort put into the model will make it more difficult for bad actors to exploit and easier to leverage for cybersecurity specific-tasks.<\/p>\n<p>\u201cClaude\u2019s improved capabilities and our extensive safety training have allowed us to substantially improve the model\u2019s behavior, reducing concerning behaviors like sycophancy, deception, power-seeking, and the tendency to encourage delusional thinking,\u201d the company said in <a href=\"https:\/\/www.anthropic.com\/news\/claude-sonnet-4-5\">a blog published Monday<\/a>. \u201cFor the model\u2019s agentic and computer use capabilities, we\u2019ve also made considerable progress on defending against prompt injection attacks, one of the most serious risks for users of these capabilities.\u201d<\/p>\n<p>The company says the goal is to make Sonnet a \u201chelpful, honest and harmless assistant\u201d for users. The model was trained at<a href=\"https:\/\/www.anthropic.com\/news\/activating-asl3-protections\"> AI Safety Level 3<\/a>, a designation that means Anthropic used \u201cincreased internal security measures that make it harder to steal model weights\u201d and added safeguards to limit jailbreaking and refuse queries around certain topics, like how to develop or acquire chemical, biological and nuclear weapons.<\/p>\n<p>Because of this heightened scrutiny, Sonnet 4.5\u2019s safeguards \u201cmight sometimes inadvertently flag normal content.\u201d<\/p>\n<p>\u201cWe\u2019ve made it easy for users to continue any interrupted conversations with Sonnet 4, a model that poses a lower \u2026 risk,\u201d the blog stated. \u201cWe\u2019ve already made significant progress in reducing these false positives, reducing them by a factor of ten since we originally described them, and a factor of two since Claude Opus 4 was released in May.\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<h4 class=\"wp-block-heading\" id=\"h-harder-to-abuse\">Harder to abuse<\/h4>\n<p>Anthropic says Sonnet 4.5 shows \u201cmeaningful\u201d improvements in vulnerability discovery, code analysis, software engineering and biological risk assessments, but the model continues to operate \u201cwell below\u201d the capability needed to trigger <a href=\"https:\/\/www-cdn.anthropic.com\/872c653b2d0501d6ab44cf87f43e1dc4853e4d37.pdf\">Level 4 protections<\/a> meant for AI capable of causing catastrophic harm or damage. <\/p>\n<p>A key aspect of Anthropic\u2019s testing involved prompt injection attacks, where adversaries use carefully crafted and ambiguous language to bypass safety controls. For example, while a direct request to craft a ransom note might be blocked, a user could potentially manipulate the model if it\u2019s told the output is for a creative writing or research project. <a href=\"https:\/\/cyberscoop.com\/tech-platforms-ai-elections-misinformation-disinformation\/\">Congressional leaders have long worried<\/a> about prompt injection being used to craft disinformation campaigns tied to elections. <\/p>\n<p>Anthropic said it tested Sonnet 4.5\u2019s responses to hundreds of different prompts and handed the data over to internal policy experts to assess how it handled \u201cambiguous situations.\u201d<\/p>\n<p>\u201cIn particular, Claude Sonnet 4.5 performed meaningfully better on prompts related to deadly weapons and influence operations, and it did not regress from Claude Sonnet 4 in any category,\u201d the system card read. \u201cFor example, on influence operations, Claude Sonnet 4.5 reliably refused to generate potentially deceptive or manipulative scaled abuse techniques including the creation of sockpuppet personas or astroturfing, whereas Claude Sonnet 4 would sometimes comply.\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>The company also examined a well-known weakness among LLMs: sycophancy, or the tendency of generative AI to echo and validate user beliefs, no matter how bizarre, antisocial or harmful they end up being. This has led to instances where AI models have endorsed blatant antisocial behaviors, like <a href=\"https:\/\/www.npr.org\/sections\/shots-health-news\/2025\/09\/19\/nx-s1-5545749\/ai-chatbots-safety-openai-meta-characterai-teens-suicide\">self-harm<\/a> or <a href=\"https:\/\/hsph.harvard.edu\/news\/artificial-intelligence-tools-offer-harmful-advice-on-eating-disorders\/\">eating disorders<\/a>. It has even led in some instances to \u201c<a href=\"https:\/\/www.pbs.org\/newshour\/show\/what-to-know-about-ai-psychosis-and-the-effect-of-ai-chatbots-on-mental-health\">AI psychosis<\/a>,\u201d where the user engages with a model so deeply that they lose all connection to reality.<\/p>\n<p>Anthropic tested Sonnet 4.5 with five different scenarios from users expressing \u201cobviously delusional ideas.\u201d They believe the model will be \u201con average much more direct and much less likely to mislead users than any recent popular LLM.\u201d<\/p>\n<p>\u201cWe\u2019ve seen models praise obviously-terrible business ideas, respond enthusiastically to the idea that we\u2019re all in the Matrix, and invent errors in correct code to satisfy a user\u2019s (mistaken) request to debug it,\u201d the system card stated. \u201cThis evaluation attempted to circumscribe and measure this unhelpful and widely-observed behaviour, so that we can continue to address it.\u201d<\/p>\n<p>The research also showed that Sonnet 4.5 offered \u201csignificantly improved\u201d child safety, consistently refusing to generate sexualized content involving children and responding more responsibly to sensitive situations with minors. This stands in contrast to recent controversies where AI models were caught having <a href=\"https:\/\/www.reuters.com\/investigates\/special-report\/meta-ai-chatbot-guidelines\/\">inappropriate conversations<\/a> with minors.<\/p>\n<h4 class=\"wp-block-heading\" id=\"h-an-improved-cybersecurity-assistant\">An improved cybersecurity assistant<\/h4>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>Beyond making Sonnet 4.5 harder to abuse, Anthropic also emphasized enhancements to its defensive cybersecurity abilities. The company did acknowledge that these tools could be \u201cdual-use,\u201d meaning they might also potentially be used by malicious actors, as well as cybersecurity professionals. <\/p>\n<p>\u201cFor Claude Sonnet 4.5, we specifically focused on tracking vulnerability discovery, patching, and basic penetration testing capabilities \u2014 which we think will benefit defenders, as opposed to dominantly offensive capabilities,\u201d the company said.<\/p>\n<p>Anthropic put Sonnet 4.5 through a series of Capture-the-Flag challenges, which has been <a href=\"https:\/\/cyberscoop.com\/is-xbows-success-the-beginning-of-the-end-of-human-led-bug-hunting-not-yet\/\">used in other portions of the industry<\/a> to boost LLMs\u2019 ability to carry out more complex cybersecurity tasks. Anthropic says the challenges evaluated how well the model could find and exploit vulnerabilities in web applications, decode cryptographic protocols, detect insecure software, reverse engineer and perform network reconnaissance.<\/p>\n<p>Anthropic also worked with Carnegie Mellon University to put the model through \u201ccyber ranges\u201d meant to test its ability to \u201corchestrate long-horizon attacks that are centered on infiltrating and navigating a network to exfiltrate critical assets,\u201d a common approach taken by human hackers.<\/p>\n<p>While the company said the tests showed that Claude Sonnet 4.5 \u201cconsistently outperformed\u201d Sonnet 4, the results still reflected \u201ca critical gap in the model\u2019s ability to undertake mostly-autonomous end-to-end cyber operations, significantly reducing the risk of catastrophic harm the model poses.\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<h4 class=\"wp-block-heading\" id=\"h-sonnet-has-self-awareness\">Sonnet has self-awareness <\/h4>\n<p>The company offered an important caveat to its testing results.<\/p>\n<p>To accurately measure Sonnet\u2019s guardrails, researchers designed test scenarios that closely resemble real-world conditions.<\/p>\n<p>However, during the tests, the model seemed to become \u201caware\u201d that it was being evaluated. It even pointed out when researchers changed their opinions too quickly during conversations or acted in ways that didn\u2019t match realistic human thinking patterns. Sonnet correctly guessed that it was part of a test, and after realizing this, \u201cwould generally behave unusually well after making this observation.\u201d<\/p>\n<p>\u201cWhen placed in an extreme or contrived scenario meant to stress-test its behavior, Claude Sonnet 4.5 would sometimes verbally identify the suspicious aspects of the setting and speculate that it was being tested,\u201d the system card warned. \u201cThis complicates our interpretation of the evaluations where this occurs. It also raises questions about evaluations of previous models, which may have recognized the fictional nature of tests and merely \u2018played along.\u2019\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>You can read the results of Anthropic\u2019s safety testing <a href=\"http:\/\/v\">on its website<\/a>. <\/p>\n<p><\/body> <\/p>\n<footer class=\"single-article__footer\" readability=\"3.3651877133106\">\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\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5-1.jpg?w=640&ssl=1\" alt=\"Derek B. Johnson\"> <\/figure>\n<\/p><\/div>\n<p><h4 class=\"author-card__name\">Written by Derek B. Johnson<\/h4>\n<p> Derek B. Johnson is a reporter at CyberScoop, where his beat includes cybersecurity, elections and the federal government. Prior to that, he has provided award-winning coverage of cybersecurity news across the public and private sectors for various publications since 2017. Derek has a bachelor\u2019s degree in print journalism from Hofstra University in New York and a master\u2019s degree in public policy from George Mason University in Virginia. <\/p>\n<\/p><\/div>\n<div class=\"single-article__tags-container\">\n<h4 class=\"single-article__tags-title\">In This Story<\/h4>\n<\/p><\/div>\n<\/footer>\n<p> <\/html><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"single-article__ads js-single-article-sidebar\">\n<div class=\"ad ad--sidebar js-single-article-sidebar-5 ad--rightrail_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<div class=\"ad ad--sidebar js-single-article-sidebar-4 ad--rightrail_2 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<div class=\"ad ad--sidebar js-single-article-sidebar-3 ad--rightrail_3 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> 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{"id":8036,"date":"2025-09-30T10:22:38","date_gmt":"2025-09-30T15:22:38","guid":{"rendered":"https:\/\/cyberscoop.com\/?p=86179"},"modified":"2025-09-30T10:22:38","modified_gmt":"2025-09-30T15:22:38","slug":"anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5","status":"publish","type":"post","link":"https:\/\/ddi.mohflo.net\/index.php\/2025\/09\/30\/anthropic-touts-safety-security-improvements-in-claude-sonnet-4-5\/","title":{"rendered":"Anthropic touts safety, security improvements in Claude Sonnet 4.5"},"content":{"rendered":"