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| Description | Unomaly is a smart next-generation tool that leverages algorithmic system monitoring to sift through user data. With the resulting analysis, the tool learns and detects the generally associated data trends. A great tool for data centers, it constantly delivers automatic log analysis that evolves to the ever-changing needs of data centers. Unomaly can analyze log data from the complete software stack, including containers, servers, and applications. The tool then leverages this analysis to set up the foundation of recognizing anomalies as they happen, including problems, abnormal incidents, and hacks. As a result, users can actively determine the root causes of outages and take action due to relevant insights to prevent system failures or breaches. With a profile of the entire data center, Unomaly keeps track of every past and probable event, isolating the data from the associated problem. By digging through the detail logs, users can understand how an incident escalated throughout its life cycle. Read more | Dataships is an easy to setup software that gives users everything they need to become compliant. The tool works in a way where it cuts through the noise and delivers a simple solution. It builds a privacy center that all users need to comply with global data protection laws. It helps to create privacy policies, cookie policies, data processing addendums, security policies, and much more. Since data privacy landscapes are consistently revolving, it updates the policies automatically whenever needed. With the tool, building trust with users seems easy. Users can leverage the data access gateway to give their customers access to the information they hold on them. Businesses can earn users’ respect by showing how things are done in the best way possible. The tool allows users to manage what data they share and all changes they make are automatically reflected in the tools. The software looks after compliance while users can concentrate on their business. Read more |
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| Company Details | Located in: Stockholm, Sweden - 111 57 | Located in: Dublin, Ireland |
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Not available https://www.dataships.io/ |
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