DarkTrace
概述
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总部
英国
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成立年份
2013
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公司类型
私营公司
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收入
$10-100m
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员工人数
201 - 1,000
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网站
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股票行情
DARK
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推特句柄
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公司介绍
Darktrace 是网络安全 AI 领域的全球领导者，提供世界一流的技术，保护全球 6,500 多家客户免受高级威胁，包括勒索软件和云以及 SaaS 攻击。该公司完全不同的方法应用自学习人工智能，使机器能够理解业务，从而自主防御。该公司总部位于英国剑桥，在全球拥有 1,500 名员工和 30 多个办事处。 Darktrace 被《时代》杂志评为 2021 年“最具影响力的公司”之一
物联网解决方案
用于 OT 网络防御的工业免疫系统基础 AI 技术。它通过被动学习 OT、IT 和工业物联网的“正常”情况来工作，使其能够实时检测新兴网络威胁的最细微信号。这种自学技术与协议无关，可以部署在一系列 OT 环境中，在不中断日常运营的情况下全面覆盖组织。 Darktrace Antigena 世界上第一个自主反应解决方案。由屡获殊荣的 Cyber AI 提供支持，它可以在几秒钟内响应网络攻击——当安全团队不堪重负或根本不在身边时。该技术就像数字抗体一样工作，每当网络、电子邮件或云环境中出现威胁事件时，它会智能地生成有针对性和相称的响应。
主要客户
Network18、毕马威、英国电信、T-Mobile、Ocado、标致、ebay
物联网应用简介
技术栈
DarkTrace的技术栈描绘了DarkTrace在基础设施即服务 (iaas), 应用基础设施与中间件, 和 网络安全和隐私等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
Enhancing Security Precision with IoT: A Case Study of Guardsman Group
Guardsman Group, a leading security company in the Caribbean, faced a significant challenge in maintaining the security of its digital infrastructure. The company provides security equipment, personnel, and systems for various businesses across the region. However, one of its offices experienced a security incident that affected all communications at that location. The existing security tools were not sufficient to provide the necessary protection, and it took hours to identify the source of the issue. This incident highlighted the need for a dynamic solution that could proactively identify threats. The company's primary concern was any disruption to its business, as it manages a significant portion of Jamaica's money and cannot afford for its operations to go down.
Case Study
How Traditional Defenses Let Major Threats Slip through
As a global company with over 1,200 employees and 24 subsidiaries, KTR systems has a diverse and complex digital infrastructure to protect. With increasingly subtle and sophisticated cyber-attacks targeting every corner of the digital ecosystems, the IT team sought a new approach that could detect and autonomously respond to these threats.
Case Study
Enhancing Cybersecurity with AI: A Case Study of KTR Systems
KTR Systems, a global company with over 1,200 employees and 24 subsidiaries, was facing a significant challenge in protecting its diverse and complex digital infrastructure from increasingly sophisticated cyber-attacks. The company's traditional security tools, which relied on historical data to detect threats, were proving ineffective against novel attacks. In 2019, KTR Systems fell victim to two instances of CEO fraud, confirming that their security measures were inadequate. The company's IT team was also limited in its ability to monitor global workforce activity around the clock. Furthermore, the company suffered an attempted ransomware attack, which, although thwarted before causing damage, highlighted the need for a more robust security solution.
Case Study
Calligo: Enhancing Email Security with AI
Calligo, a data service provider, was facing a significant challenge in safeguarding sensitive customer data from phishing attacks and spoofing emails. The situation was exacerbated during the rapid transition to remote working in 2020, which saw an increase in the number of sophisticated phishing emails that their existing security tools were unable to stop. These included fake invoices sent to the accounting team. While their legacy tools were effective at stopping spam and other common threats, they failed to catch the novel attacks increasingly targeting the workforce. Calligo's Chief Information Security Officer, Mark Herridge, acknowledged that their existing email protection had gaps, particularly in dealing with phishing and spoof messaging. The company needed an email security solution that could provide better visibility across their vast digital ecosystem and stop advanced email-borne threats that would otherwise go unnoticed.
Case Study
Enhancing Security Infrastructure with AI: A Case Study of EV Group
EV Group, a leading semiconductor manufacturer, was grappling with the complexity of its digital infrastructure. The company's security team was seeking packet-level visibility to improve their security posture. They were relying on log-based SIEM technology, which provided an overview of the digital estate but lacked packet-level insight at the network traffic layer. This meant that security incidents were not being recognized and controlled quickly enough. The primary goal was to minimize the time between an event happening and it being acknowledged, ideally less than 10 minutes. The team trialled Darktrace alongside other tools, deciding on Darktrace's Self-Learning AI primarily because of the accuracy of its detections.
Case Study
AI-Driven Cybersecurity Transformation at Confiar Financial Cooperative
Confiar, a Colombian Financial Cooperative, was facing a significant challenge in safeguarding its clients' sensitive data against fast-moving threats like ransomware. Despite having traditional security tools such as firewalls, anti-virus, and email protection, the Cooperative needed a solution that could understand user behavior and protect against novel and sophisticated threats that could evade these traditional solutions. The Cooperative was also aware of the increasing prevalence of social engineering, hidden malware, and unauthorized data transfers, and recognized the need to incorporate AI into its security stack to protect its users and data in this new era of dynamic cyber threats. During the initial trial of Darktrace's Self-Learning AI, several vulnerabilities across employee devices were identified that the organization wasn't previously aware of.
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CrowdStrike is a cybersecurity technology firm pioneering next-generation Endpoint protection, delivered as a single integrated cloud-based solution. CrowdStrike Falcon platform stops breaches by detecting all attacks types, even malware-free intrusions, providing five-second visibility across all current and past Endpoint activity while reducing cost and complexity for customers. CrowdStrike Falcon platform is delivered via the security industry only 100% native cloud architecture, integrated with 24/7 managed hunting capabilities and in-house threat intelligence and incident response teams. CrowdStrike unique Threat Graph harnesses the cloud to instantly analyze data from billions of Endpoint events across a global crowdsourcing community, allowing detection and prevention of attacks based on patented behavioral pattern recognition technology.
