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2021-09-10

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ForgeRock Autonomous Identity helps enterprises reduce risk and manage workforce access<blockquote>ForgeRock自主身份帮助企业降低风险并管理劳动力访问</blockquote>

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The company’s AI-driven approach to identity governance and administration (IGA) offers new capabilities to help teams heighten security by avoiding excessive access permissions and eliminating orphaned user accounts — both prime targets for external attackers and insider threats.<blockquote>ForgeRock宣布推出最新版本的ForgeRock自主身份，旨在帮助企业降低风险并更有效地管理劳动力访问。该公司以人工智能为驱动的身份治理和管理（IGA）方法提供了新的功能，通过避免过多的访问权限和消除孤立用户帐户来帮助团队提高安全性--这既是外部攻击者的主要目标，也是内部威胁的主要目标。</blockquote> <img src=\"https://static.tigerbbs.com/f7b01600dba2117471fd64fb8ba2c5e6\" tg-width=\"650\" tg-height=\"405\" referrerpolicy=\"no-referrer\"><blockquote></blockquote> Enterprises have long tried to use role-based access control (RBAC) to simplify the process of managing workforce access permissions. However the effectiveness of this approach erodes over time because traditional IGA and RBAC processes lead to over-provisioning of access permissions — giving access to people who don’t need it — resulting in an increased attack surface. Organizations have traditionally managed access using manual, labor-intensive processes that can no longer scale to meet today’s dynamic security requirements.<blockquote>长期以来，企业一直试图使用基于角色的访问控制（RBAC）来简化管理员工访问权限的过程。然而，随着时间的推移，这种方法的有效性会受到侵蚀，因为传统的 IGA 和 RBAC 流程会导致过度分配访问权限--将访问权限授予不需要访问权限的人--从而导致攻击面增加。传统上，组织使用人工、劳动密集型的流程来管理访问权限，这些流程已无法扩展以满足当今动态的安全要求。</blockquote> The AI-Driven approach to zero trust and role-based access control<blockquote>人工智能驱动的零信任和基于角色的访问控制方法</blockquote> According toGartnerInc. research, titled “Modern Approaches to Identity Governance and Administration Role Modeling,” the firm advises that “the process of updating IGA policies and roles should be automated using machine learning (ML) and advanced analytics, so that it leverages additional inputs, such as actual usage, to mitigate over-entitlement and role proliferation.”<blockquote>根据GartnerInc.的说法。该公司在题为 “身份治理和管理角色建模的现代方法 ”的研究中建议，“IGA 政策和角色的更新过程应使用机器学习 (ML) 和高级分析实现自动化，以便利用实际使用等额外输入来缓解过度授权和角色激增”。</blockquote> ForgeRock is doing exactly that with its latest release of Autonomous Identity. The modern IGA solution now leverages artificial intelligence (AI) and machine learning to reduce enterprise risk by discovering role-based access patterns across the entire organization and recommending optimized role structures. These specific role recommendations help ensure that users have the level of access they need while increasing the organization’s security posture. This enables organizations to customize their own risk criteria without the need for frequent and laborious data analysis.<blockquote>ForgeRock在其最新发布的自主身份中正是这样做的。现代IGA解决方案现在利用人工智能（AI）和机器学习，通过发现整个组织中基于角色的访问模式并推荐优化的角色结构来降低企业风险。这些特定的角色建议有助于确保用户拥有所需的访问权限，同时提高组织的安全态势。这使得组织能够定制自己的风险标准，而无需频繁且费力的数据分析。</blockquote> “ForgeRock Autonomous Identity has always been about helping IT and security teams work smarter,” said Peter Barker, Chief Product Officer, ForgeRock. “With this new release of Autonomous Identity, we’re introducing new role management capabilities that tackle tedious, manual access and governance processes using AI and ML to more quickly identify and eliminate risky access across the entire enterprise. These new features provide an even more powerful way to give companies control of their data and also organize that data with optimized roles to more efficiently manage and govern access.”<blockquote>“ForgeRock Autonomous Identity 一直致力于帮助 IT 和安全团队更智能地工作，”ForgeRock 首席产品官 Peter Barker 说。“通过新版本的 Autonomous Identity，我们将引入新的角色管理功能，利用人工智能和人工智能解决繁琐的手动访问和治理流程，从而更快地识别和消除整个企业的高风险访问。这些新功能提供了一种更强大的方式，让公司能够控制自己的数据，并通过优化的角色来组织这些数据，从而更有效地管理和治理访问。”</blockquote> “Accenture is a strategic ForgeRock partner as well as a customer, so we know firsthand how essential IGA is to keeping enterprises safe from cyber threats,” said Rex Thexton, Managing Director, Global Applied Cybersecurity Services Lead,Accenture. “ForgeRock Autonomous Identity’s AI-driven analytics allow us to quickly and accurately prevent over-provisioning account access to our more than half a million employees with a much higher degree of confidence. These new features provide a better way to manage user privileges and help organizations have more visibility across their networks so they can proactively identify risks.”<blockquote>“埃森哲全球应用网络安全服务主管董事总经理 Rex Thexton 表示：”埃森哲既是 ForgeRock 的战略合作伙伴，也是客户，因此我们亲身体验到 IGA 对于保护企业免受网络威胁的重要性。“ForgeRock Autonomous Identity 的人工智能驱动分析技术使我们能够快速准确地防止对 50 多万名员工进行过度配置帐户访问，并具有更高的信心。这些新功能提供了一种更好的方法来管理用户权限，并帮助组织在其网络中拥有更多的可见性，以便他们能够主动识别风险。”</blockquote>","source":"lsy1631246295983","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>ForgeRock Autonomous Identity helps enterprises reduce risk and manage workforce access<blockquote>ForgeRock自主身份帮助企业降低风险并管理劳动力访问</blockquote></title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 12.5px; color: #7E829C; margin: 0;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nForgeRock Autonomous Identity helps enterprises reduce risk and manage workforce access<blockquote>ForgeRock自主身份帮助企业降低风险并管理劳动力访问</blockquote>\n</h2>\n<h4 class=\"meta\">\n\nhelpnetsecurity2021-09-10 11:57\n\n</h4>\n</header>\n<article>\nForgeRock&nbsp;announced the availability of its latest version of ForgeRock Autonomous Identity designed to help enterprises reduce risk and more efficiently manage workforce access. The company’s AI-driven approach to identity governance and administration (IGA) offers new capabilities to help teams heighten security by avoiding excessive access permissions and eliminating orphaned user accounts — both prime targets for external attackers and insider threats.<blockquote>ForgeRock宣布推出最新版本的ForgeRock自主身份，旨在帮助企业降低风险并更有效地管理劳动力访问。该公司以人工智能为驱动的身份治理和管理（IGA）方法提供了新的功能，通过避免过多的访问权限和消除孤立用户帐户来帮助团队提高安全性--这既是外部攻击者的主要目标，也是内部威胁的主要目标。</blockquote> <img src=\"https://static.tigerbbs.com/f7b01600dba2117471fd64fb8ba2c5e6\" tg-width=\"650\" tg-height=\"405\" referrerpolicy=\"no-referrer\"><blockquote></blockquote> Enterprises have long tried to use role-based access control (RBAC) to simplify the process of managing workforce access permissions. However the effectiveness of this approach erodes over time because traditional IGA and RBAC processes lead to over-provisioning of access permissions — giving access to people who don’t need it — resulting in an increased attack surface. Organizations have traditionally managed access using manual, labor-intensive processes that can no longer scale to meet today’s dynamic security requirements.<blockquote>长期以来，企业一直试图使用基于角色的访问控制（RBAC）来简化管理员工访问权限的过程。然而，随着时间的推移，这种方法的有效性会受到侵蚀，因为传统的 IGA 和 RBAC 流程会导致过度分配访问权限--将访问权限授予不需要访问权限的人--从而导致攻击面增加。传统上，组织使用人工、劳动密集型的流程来管理访问权限，这些流程已无法扩展以满足当今动态的安全要求。</blockquote> The AI-Driven approach to zero trust and role-based access control<blockquote>人工智能驱动的零信任和基于角色的访问控制方法</blockquote> According toGartnerInc. research, titled “Modern Approaches to Identity Governance and Administration Role Modeling,” the firm advises that “the process of updating IGA policies and roles should be automated using machine learning (ML) and advanced analytics, so that it leverages additional inputs, such as actual usage, to mitigate over-entitlement and role proliferation.”<blockquote>根据GartnerInc.的说法。该公司在题为 “身份治理和管理角色建模的现代方法 ”的研究中建议，“IGA 政策和角色的更新过程应使用机器学习 (ML) 和高级分析实现自动化，以便利用实际使用等额外输入来缓解过度授权和角色激增”。</blockquote> ForgeRock is doing exactly that with its latest release of Autonomous Identity. The modern IGA solution now leverages artificial intelligence (AI) and machine learning to reduce enterprise risk by discovering role-based access patterns across the entire organization and recommending optimized role structures. These specific role recommendations help ensure that users have the level of access they need while increasing the organization’s security posture. This enables organizations to customize their own risk criteria without the need for frequent and laborious data analysis.<blockquote>ForgeRock在其最新发布的自主身份中正是这样做的。现代IGA解决方案现在利用人工智能（AI）和机器学习，通过发现整个组织中基于角色的访问模式并推荐优化的角色结构来降低企业风险。这些特定的角色建议有助于确保用户拥有所需的访问权限，同时提高组织的安全态势。这使得组织能够定制自己的风险标准，而无需频繁且费力的数据分析。</blockquote> “ForgeRock Autonomous Identity has always been about helping IT and security teams work smarter,” said Peter Barker, Chief Product Officer, ForgeRock. “With this new release of Autonomous Identity, we’re introducing new role management capabilities that tackle tedious, manual access and governance processes using AI and ML to more quickly identify and eliminate risky access across the entire enterprise. These new features provide an even more powerful way to give companies control of their data and also organize that data with optimized roles to more efficiently manage and govern access.”<blockquote>“ForgeRock Autonomous Identity 一直致力于帮助 IT 和安全团队更智能地工作，”ForgeRock 首席产品官 Peter Barker 说。“通过新版本的 Autonomous Identity，我们将引入新的角色管理功能，利用人工智能和人工智能解决繁琐的手动访问和治理流程，从而更快地识别和消除整个企业的高风险访问。这些新功能提供了一种更强大的方式，让公司能够控制自己的数据，并通过优化的角色来组织这些数据，从而更有效地管理和治理访问。”</blockquote> “Accenture is a strategic ForgeRock partner as well as a customer, so we know firsthand how essential IGA is to keeping enterprises safe from cyber threats,” said Rex Thexton, Managing Director, Global Applied Cybersecurity Services Lead,Accenture. “ForgeRock Autonomous Identity’s AI-driven analytics allow us to quickly and accurately prevent over-provisioning account access to our more than half a million employees with a much higher degree of confidence. These new features provide a better way to manage user privileges and help organizations have more visibility across their networks so they can proactively identify risks.”<blockquote>“埃森哲全球应用网络安全服务主管董事总经理 Rex Thexton 表示：”埃森哲既是 ForgeRock 的战略合作伙伴，也是客户，因此我们亲身体验到 IGA 对于保护企业免受网络威胁的重要性。“ForgeRock Autonomous Identity 的人工智能驱动分析技术使我们能够快速准确地防止对 50 多万名员工进行过度配置帐户访问，并具有更高的信心。这些新功能提供了一种更好的方法来管理用户权限，并帮助组织在其网络中拥有更多的可见性，以便他们能够主动识别风险。”</blockquote>\n<div class=\"bt-text\">\n\n\n 来源：<a href=\"https://www.helpnetsecurity.com/2021/09/09/forgerock-autonomous-identity/\">helpnetsecurity</a>\n为提升您的阅读体验，我们对本页面进行了排版优化\n\n\n</div>\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://www.helpnetsecurity.com/2021/09/09/forgerock-autonomous-identity/","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1182840600","content_text":"ForgeRock announced the availability of its latest version of ForgeRock Autonomous Identity designed to help enterprises reduce risk and more efficiently manage workforce access. The company’s AI-driven approach to identity governance and administration (IGA) offers new capabilities to help teams heighten security by avoiding excessive access permissions and eliminating orphaned user accounts — both prime targets for external attackers and insider threats.\n\nEnterprises have long tried to use role-based access control (RBAC) to simplify the process of managing workforce access permissions. However the effectiveness of this approach erodes over time because traditional IGA and RBAC processes lead to over-provisioning of access permissions — giving access to people who don’t need it — resulting in an increased attack surface. Organizations have traditionally managed access using manual, labor-intensive processes that can no longer scale to meet today’s dynamic security requirements.\nThe AI-Driven approach to zero trust and role-based access control\nAccording toGartnerInc. research, titled “Modern Approaches to Identity Governance and Administration Role Modeling,” the firm advises that “the process of updating IGA policies and roles should be automated using machine learning (ML) and advanced analytics, so that it leverages additional inputs, such as actual usage, to mitigate over-entitlement and role proliferation.”\nForgeRock is doing exactly that with its latest release of Autonomous Identity. The modern IGA solution now leverages artificial intelligence (AI) and machine learning to reduce enterprise risk by discovering role-based access patterns across the entire organization and recommending optimized role structures. These specific role recommendations help ensure that users have the level of access they need while increasing the organization’s security posture. This enables organizations to customize their own risk criteria without the need for frequent and laborious data analysis.\n“ForgeRock Autonomous Identity has always been about helping IT and security teams work smarter,” said Peter Barker, Chief Product Officer, ForgeRock. “With this new release of Autonomous Identity, we’re introducing new role management capabilities that tackle tedious, manual access and governance processes using AI and ML to more quickly identify and eliminate risky access across the entire enterprise. These new features provide an even more powerful way to give companies control of their data and also organize that data with optimized roles to more efficiently manage and govern access.”\n“Accenture is a strategic ForgeRock partner as well as a customer, so we know firsthand how essential IGA is to keeping enterprises safe from cyber threats,” said Rex Thexton, Managing Director, Global Applied Cybersecurity Services Lead,Accenture. “ForgeRock Autonomous Identity’s AI-driven analytics allow us to quickly and accurately prevent over-provisioning account access to our more than half a million employees with a much higher degree of confidence. These new features provide a better way to manage user privileges and help organizations have more visibility across their networks so they can proactively identify risks.”","news_type":1,"symbols_score_info":{"FORG":0.9}},"isVote":1,"tweetType":1,"viewCount":1230,"commentLimit":10,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"symbols":[],"verified":2,"subType":0,"readableState":1,"langContent":"EN","currentLanguage":"EN","warmUpFlag":false,"orderFlag":false,"shareable":true,"causeOfNotShareable":"","featuresForAnalytics":[],"commentAndTweetFlag":false,"andRepostAutoSelectedFlag":false,"upFlag":false,"length":7,"subscribersOnly":false,"subscribersOnlyAccessible":false,"xxTargetLangEnum":"ORIG"},"commentList":[],"isCommentEnd":true,"isTiger":false,"isWeiXinMini":false,"url":"/m/post/883224891"}