{"id":7520,"date":"2025-04-07T20:07:15","date_gmt":"2025-04-08T01:07:15","guid":{"rendered":"https:\/\/cyberscoop.com\/?p=84107"},"modified":"2025-04-07T20:07:15","modified_gmt":"2025-04-08T01:07:15","slug":"google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases","status":"publish","type":"post","link":"https:\/\/ddi.mohflo.net\/index.php\/2025\/04\/07\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases\/","title":{"rendered":"Google hopes its experimental AI model can unearth new security use cases"},"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>Google hopes its experimental AI model can unearth new 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class=\"single-article__header-content\" readability=\"35.402877697842\">\n<p> SecGemini is free, but its access will initially be limited to a select group of organizations that will test the model in their own cybersecurity work. <\/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\/84107\/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=\"497\" src=\"https:\/\/i0.wp.com\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases.jpg?resize=640%2C497&#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\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg 5150w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=300,233 300w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=768,597 768w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=1024,795 1024w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=1536,1193 1536w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=2048,1591 2048w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=600,466 600w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=216,168 216w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=434,337 434w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=869,675 869w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-2.jpg?resize=1085,843 1085w\" sizes=\"(max-width: 869px) 100vw, 869px\"><figcaption> SecGemini is free, but its access will initially be limited to a select group of organizations that will test the model in their own cybersecurity work. (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=\"69.430495356037\"><body readability=\"138.69199933189\"><\/p>\n<p>Google has built a cybersecurity assistant for information security professionals, and now they\u2019re looking for researchers to play with it.<\/p>\n<p>Sec Gemini V1 is a new cybersecurity AI reasoning model that Google rolled out last week on an experimental basis. It is designed to function as an AI assistant for security practitioners, capable of handling data analysis and other lower-level tasks that are foundational to modern cybersecurity and vulnerability research.<\/p>\n<p>The concept of \u201cAI agent as a cybersecurity assistant\u201d was one of <a href=\"https:\/\/www.scworld.com\/analysis\/how-chatgpt-is-changing-the-way-cybersecurity-practitioners-look-at-the-potential-of-ai\">the first use cases envisioned<\/a> by security professionals when LLMs like ChatGPT first came on the market in 2022. Because researchers must sift through massive amounts of data to do their jobs, a tool or agent capable of quickly categorizing and organizing such information for higher-level analysis was viewed as one of the most feasible value-adds for the technology.<\/p>\n<p>Marianna Tishchenko, group product manager for Sec Gemini, told CyberScoop the motivation behind the tool was to help security staff with that drudgery, which can be \u201cpretty time-consuming and manual and toilsome\u201d work.<\/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>\u201cAnd where we see opportunity is to improve the efficiency and efficacy of the workflows that defenders pursue in order to keep their organizations safe,\u201d Tishchenko said<strong>.<\/strong><\/p>\n<p>SecGemini\u2019s answers are drawn in part from tapping multiple unique Google data streams or products, including Mandiant threat intelligence and the open-source vulnerabilities database.&nbsp;&nbsp;<\/p>\n<p>According to Google, Sec Gemini <a href=\"https:\/\/security.googleblog.com\/2025\/04\/google-launches-sec-gemini-v1-new.html\">outperforms other models<\/a> from OpenAI, Anthropic, DeepSeek and Mistral AI on benchmarks like <a href=\"https:\/\/arxiv.org\/html\/2406.07599v2\">CTI-MCQ<\/a>, a multiple-choice questionnaire that evaluates a generative AI tool\u2019s understanding of threat intelligence standards, threats, detection strategies, mitigation plans, and best practices.<\/p>\n<p>It also outperforms many of those same models on metrics for root-cause mapping, which evaluates an LLM\u2019s ability to understand nuances in vulnerability descriptions, flag root causes of vulnerabilities and classify them.<\/p>\n<p>But Google is making a bet that security researchers will have a better understanding of how to leverage Sec Gemini for their own work and find even more use cases.<\/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>According to a <a href=\"https:\/\/arxiv.org\/abs\/2405.04760\">2024 meta-study<\/a> that analyzed 127 different papers from security and software engineers about using LLMs for security, cybersecurity practitioners are already leveraging these tools to carry out a wide variety of tasks, such as vulnerability detection, malware analysis, network intrusion detection, and phishing detection. There is also potential for higher-level uses, such as proactive defense and threat hunting.<\/p>\n<p>Elle Bursztein, a security and anti-abuse research lead at Google, said because Sec Gemini is constantly ingesting updated Google threat intelligence, it can provide up-to-date answers on security topics in \u201cclose to real time,\u201d factoring in whether if, say, a CVE for a software vulnerability has been updated in the past few days with a new patch.<\/p>\n<p>Asked if Google envisions Sec Gemini being used by cybersecurity staff during an active incident response, Bursztein said \u201cwe are as curious as you to know that.\u201d<\/p>\n<p>\u201cOur intent is to have lessons learned that we can share,\u201d Bursztein said. \u201cWe just don\u2019t know until we try it.\u201d<\/p>\n<p>From there, Google will iterate and refine the model to further support identified use cases.<\/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>\u201cWhat we\u2019re trying to figure out with research: if we open it up to a set of people who have need and they use it, how are they going to use it?\u201d Bursztein said. \u201cIs it working for them? How good is it? Does it have failure cases?\u201d<\/p>\n<p>SecGemini is free, but its access will initially be limited to a select group of organizations who will experiment with and test the model in their own cybersecurity work. Tishchenko said Google will be working with non-governmental and academic organizations to test the tool for non-commercial research purposes. Bursztein said the initial group of organizations given access will likely number in the dozens.&nbsp;&nbsp;<\/p>\n<p>Finding viable use cases where Sec Gemini can handle meaningful data collection and analysis workloads will be an important marker of the tool\u2019s relevance, especially as the broader generative AI boom <a href=\"https:\/\/www.techtarget.com\/searchenterpriseai\/news\/366599640\/Enterprises-struggle-to-find-business-value-with-GenAI\">struggles to translate<\/a> its promise into performance.<\/p>\n<p>Casey Ellis, chief technology officer at BugCrowd, told CyberScoop that Sec Gemini\u2019s benchmark testing indicates it is capable of digesting complex workflows, while Google\u2019s pairing of Mandiant threat intelligence and its open-source vulnerabilities database could \u201csignificantly reduce the time analysts spend piecing together disparate data sources.\u201d<\/p>\n<p>Ellis, who said back in 2022 that LLMs would be most useful for bug bounties and vulnerability research, also endorsed Google\u2019s decision to open Sec Gemini up to cybersecurity testers in its early stages.<\/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>\u201cIt\u2019s a smart move to crowdsource feedback and improvements while building trust within the cybersecurity community,\u201d he said.<\/p>\n<p>However, Ellis cautioned that some organizations could end up using tools like Sec Gemini to replace the work of their security staff rather than complement it.<\/p>\n<p>\u201cBusinesses adopting it should view it as a force multiplier for their existing teams and processes, not a replacement,\u201d Ellis said. \u201cThe real value lies in combining the model\u2019s capabilities with human expertise to stay ahead of evolving threats.\u201d<\/p>\n<p>Like any large language model, Sec Gemini runs the risk of hallucinating facts or citations. Bursztein<strong> <\/strong>told CyberScoop that one of the ways Google has worked to mitigate those issues with Sec Gemini is by constantly training it on \u201cvery precise data\u201d from Google\u2019s threat intelligence and other data streams. They also curate the quality of the data \u201cvery, very heavily.\u201d<\/p>\n<p>\u201cThere is no one magic trick,\u201d he said. \u201cIt\u2019s a lot of measures and techniques together and effort into making it work well.\u201d<\/p>\n<p><\/body> <\/p>\n<footer class=\"single-article__footer\" readability=\"4\">\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\/04\/google-hopes-its-experimental-ai-model-can-unearth-new-security-use-cases-1.jpg?w=640&#038;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<\/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> <\/div>\n<\/div><\/div>\n<\/article>\n<div class=\"popular-stories popular-stories--single-post\">\n<div class=\"popular-stories__container\">\n<h2 class=\"popular-stories__title\"> More Scoops <\/h2>\n<p> <!-- .popular-stories__stories --> <\/div>\n<p><!-- .popular-stories__inner -->\n<\/div>\n<p><!-- .popular-stories --> <\/p>\n<section class=\"latest-podcasts\">\n<h2 class=\"latest-podcasts__title\"> Latest Podcasts\t<\/h2>\n<\/section>\n<div class=\"top-categories\">\n<div class=\"top-categories__container\">\n<h3 class=\"top-categories__category-title\">Government<\/h3>\n<\/p><\/div>\n<div class=\"top-categories__container\">\n<h3 class=\"top-categories__category-title\">Technology<\/h3>\n<\/p><\/div>\n<\/p><\/div>\n<p> <\/main> <\/p>\n<div class=\"ad ad--bottom \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<div id=\"interstitial\" class=\"welcome__container\"> <button id=\"close-modal-1\" class=\"welcome__clickable_area\"><\/button> <\/p>\n<div class=\"welcome__ad_wrapper\">\n<p> <button id=\"close-modal-3\" class=\"welcome__continue-button\">Continue to CyberScoop<\/button> <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p> <!-- Start of HubSpot Embed Code --> <!-- End of HubSpot Embed Code --> <\/body> <a href=\"https:\/\/cyberscoop.com\/google-sec-gemini-experimental-ai-cybersecurity-assistant\/\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google hopes its experimental AI model can unearth new security<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[235],"tags":[236],"class_list":["post-7520","post","type-post","status-publish","format-standard","hentry","category-ai","tag-ai"],"featured_image_urls":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":"","chromenews-featured":"","chromenews-large":"","chromenews-medium":""},"author_info":{"display_name":"Cyber Scoop","author_link":"https:\/\/ddi.mohflo.net\/index.php\/author\/cyberscoop\/"},"category_info":"<a href=\"https:\/\/ddi.mohflo.net\/index.php\/category\/ai\/\" rel=\"category tag\">AI<\/a>","tag_info":"AI","comment_count":"0","jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/posts\/7520","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/comments?post=7520"}],"version-history":[{"count":0,"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/posts\/7520\/revisions"}],"wp:attachment":[{"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/media?parent=7520"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/categories?post=7520"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ddi.mohflo.net\/index.php\/wp-json\/wp\/v2\/tags?post=7520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}