OpenText 拥有数十年的专业经验,可帮助您解锁数据、连接人员和流程,并以信任为 AI 提供动力
以全新方式查看信息
能够理解您的业务、数据和目标的 AI
迎接更快的决策。您安全的 AI 个人助理已准备就绪,随时开始工作
利用生成式 AI 为供应链获取更深入的见解
利用 AI 内容管理和智能 AI 内容助手实现高效工作
实现更快的应用交付、开发和自动化软件测试
提升客户沟通和体验,助力客户成功
让用户、服务代理和 IT 人员能够找到他们所需的答案
以全新方式查看信息
能够理解您的业务、数据和目标的 AI
迎接更快的决策。您安全的 AI 个人助理已准备就绪,随时开始工作
利用生成式 AI 为供应链获取更深入的见解
利用 AI 内容管理和智能 AI 内容助手实现高效工作
实现更快的应用交付、开发和自动化软件测试
提升客户沟通和体验,助力客户成功
让用户、服务代理和 IT 人员能够找到他们所需的答案
一次连接,即可通过安全的 B2B 集成平台触达一切
通过 AI 驱动的 DevOps 自动化、测试和质量,更快地交付更优质的软件
利用令人难忘的客户体验重新构想对话
获得所需的清晰度,以降低 IT 运营的成本和复杂性
利用成熟的 OpenText 信息管理技术构建自定义应用程序
安全信息管理与可信的 AI 相结合
提升数据和 AI 信任度的统一数据框架
在这里,您可以使用数据语言构建、部署和迭代代理
一套用于帮助摄取数据和自动化元数据标记,以推动 AI 发展的工具
一套使治理具有主动性和持久性的服务和 API
专业服务专家助您踏上 AI 之旅
以全新方式查看信息
能够理解您的业务、数据和目标的 AI
迎接更快的决策。您安全的 AI 个人助理已准备就绪,随时开始工作
利用生成式 AI 为供应链获取更深入的见解
利用 AI 内容管理和智能 AI 内容助手实现高效工作
实现更快的应用交付、开发和自动化软件测试
提升客户沟通和体验,助力客户成功
让用户、服务代理和 IT 人员能够找到他们所需的答案
Major Healthcare CompanyArcSight Intelligence neutralizes insider threats and prevents sensitive data theft

Find a more efficient method to identify insider threats through security anomalies in a large organization.
With over 12,000 internal users accessing sensitive patient data, this organization had to face the reality of potential insider threats to their data security. Its security operations center (SOC) already deployed hypothesis-based threat hunting where an actionable hypothesis is created, executed, and tested to completion. This method aims to connect the dots, determine what’s normal and what’s not, and identify anomalies. Its Chief Information Security Officer (CISO) explains what he would prefer: “Instead of managing a flood of distracting false positives derived from hypothesis-based threat hunting, we felt we could augment our hunting efforts better by creating more accurate behavioral intelligence-based hypotheses.”
OpenText ArcSight Intelligence provides a contextualized view of the riskiest behaviors in the enterprise and gives SOC teams the right tools to visualize and investigate threats. It links unusual behavior with real threats by using statistical probability and unsupervised machine learning to identify the most suspicious entities.
Following its implementation in a hosted cloud environment ArcSight Intelligence was able to identify and neutralize an insider attempt to access sensitive data in an EMC application. An administrator exploited a vulnerability on a server which, if successful, would have resulted in data theft.
The organization plans to expand the data sources into ArcSight Intelligence to broaden its coverage.
ArcSight Intelligence found a successful authentication to a rarely used server, which attempted to access servers globally. Narrowed down to an administrator who was dismissed as a result, ArcSight Intelligence then spotted the same account trying to re-authenticate after the individual had been terminated. All attempts were identified and neutralized.

With over 12,000 internal users accessing sensitive patient data, this organization had to face the reality of potential insider threats to their data security.