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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员工访问</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员工访问。该公司人工智能驱动的身份治理和管理（IGA）方法提供了新的功能，通过避免过度访问权限和消除孤立用户帐户来帮助团队提高安全性，这两者都是外部攻击者和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，这种方法的有效性会随着时间的推移而减弱，因为传统的IGA和RBAC流程会导致访问权限的过度配置——将访问权限授予不需要的人——从而导致攻击面的增加。传统上，组织使用手动、劳动密集型流程来管理访问，这些流程无法再扩展以满足当今的动态安全需求。</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>据GartnerInc.称。该公司题为“身份治理和管理角色建模的现代方法”的研究建议，“更新IGA策略和角色的过程应该使用机器学习(ML)和高级分析来自动化，以便利用额外的输入，例如实际使用，以减轻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Autonomous Identity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。这些特定角色建议有助于确保用户拥有所需的访问级别，同时提高组织的安全状况。这使得组织能够定制他们自己的风险标准，而不需要频繁和费力的数据分析。</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首席产品官Peter Barker表示：“ForgeRock Autonomous Identity始终致力于帮助IT和安全团队更智能地工作。”“通过这一新版本的Autonomous Identity，我们引入了新的角色管理功能，可以使用人工智能和机器学习来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中的风险访问。这些新功能提供了一种更强大的方式让公司控制其数据，并使用优化的角色组织数据，以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，因此我们直接了解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使我们能够以更高的信心快速、准确地防止对超过50万员工的过度配置帐户访问。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提高其网络的可见性，以便主动识别风险。”</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员工访问</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员工访问</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员工访问。该公司人工智能驱动的身份治理和管理（IGA）方法提供了新的功能，通过避免过度访问权限和消除孤立用户帐户来帮助团队提高安全性，这两者都是外部攻击者和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，这种方法的有效性会随着时间的推移而减弱，因为传统的IGA和RBAC流程会导致访问权限的过度配置——将访问权限授予不需要的人——从而导致攻击面的增加。传统上，组织使用手动、劳动密集型流程来管理访问，这些流程无法再扩展以满足当今的动态安全需求。</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>据GartnerInc.称。该公司题为“身份治理和管理角色建模的现代方法”的研究建议，“更新IGA策略和角色的过程应该使用机器学习(ML)和高级分析来自动化，以便利用额外的输入，例如实际使用，以减轻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Autonomous Identity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。这些特定角色建议有助于确保用户拥有所需的访问级别，同时提高组织的安全状况。这使得组织能够定制他们自己的风险标准，而不需要频繁和费力的数据分析。</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首席产品官Peter Barker表示：“ForgeRock Autonomous Identity始终致力于帮助IT和安全团队更智能地工作。”“通过这一新版本的Autonomous Identity，我们引入了新的角色管理功能，可以使用人工智能和机器学习来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中的风险访问。这些新功能提供了一种更强大的方式让公司控制其数据，并使用优化的角色组织数据，以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，因此我们直接了解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使我们能够以更高的信心快速、准确地防止对超过50万员工的过度配置帐户访问。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提高其网络的可见性，以便主动识别风险。”</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":{"FORG":"ForgeRock, Inc."},"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":821,"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,"xxTargetLangEnum":"ORIG"},"commentList":[],"isCommentEnd":true,"isTiger":false,"isWeiXinMini":false,"url":"/m/post/883224891"}