Vouchsec – Conversational Network Detection & Response against AI-powered Threats

Vouchsec — 会话网络检测

• 批准号: 10076610
• 金额: $ 4.08万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10076610
• 关键词: Vouchsec; Conversational; Network; Detection; Response

ur reliance on computer networks is ever increasing in the interconnected world. As the amount of network traffic and applications grow, so does the attack surface for nefarious actors who have now started using cutting-edge AI methods for their malicious purposes. Traditional network security products on the market are not tailored to avert such attacks and their adaptation capabilities are limited by their design. To make matters worse, security professionals spend valuable time on interacting with those products to zero in on potential threats.Vouchsec aims to redesign the approach to network detection and response (NDR) by offering a solution to new types of attacks that are powered by AI, and by featuring an AI chatbot that form the conversational security product. Ability to use natural language to communicate with it gives security professionals advantage in dealing with threats and limits their training time, while lowering the barrier to entry for regular users to use NDR systems.

在互联的世界中，您对计算机网络的依赖日益增加。随着网络流量和应用程序数量的增长，不法分子的攻击面也在不断扩大，他们现在开始使用尖端的人工智能方法来达到其恶意目的。市场上的传统网络安全产品并不是专门针对此类攻击而设计的，其适应能力也受到其设计的限制。更糟糕的是，安全专业人员花费宝贵的时间与这些产品进行交互，以将潜在威胁归零。Vouchsec 旨在重新设计网络检测和响应 (NDR) 方法，为由 AI 驱动的新型攻击提供解决方案，并采用构成对话安全产品的 AI 聊天机器人。使用自然语言与其进行通信的能力为安全专业人员提供了处理威胁的优势，并限制了他们的培训时间，同时降低了普通用户使用 NDR 系统的准入门槛。