Locardi ... Identifying login sharing, stealing and abusing

Locardi是一个项目，旨在解决在线公司面临的日益严重的用户共享或滥用登录的问题。这不仅会导致订阅收入的损失，还会带来灾难性数据/知识产权损失的威胁，在这种情况下，登录被用于自动处理专有数据。通过使用机器学习技术和异常/离群值检测算法，Locardi的愿景是研究和开发一套工具，分析网站的时间序列日志数据，通过统一的基于云的仪表板为收入保护、销售和合规团队提供可行的情报。

Locardi is a project to tackle the growing problem faced by online companies of user's sharing or abusing logins. This results not only in the loss of subscription revenue, but also the threat of catastrophic data/intellectual property loss where logins are used in automated scaping of proprietary data.Through the use of machine learning techniques and anomaly/outlier detection algorithms, Locardi's vision is to research and develop a suite of tools that analyse a website's time-series log data to provide actionable intelligence to revenue protection, sales and compliance teams through a unified cloud based dashboard.