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Microsoft Azure is supported by Darktrace / CLOUD, which offers real-time cloud detection and response


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Microsoft Azure

Darktrace, a global pioneer in AI for the field of cybersecurity, has expanded Darktrace / CLOUD to include Microsoft Azure settings, employing Microsoft's virtual network traffic logs for agentless deployment.

Darktrace and CLOUD are designed specifically for cloud protection and are additionally available for AWS setups. In order to track cloud assets, containers, and users and correlate their activities with identification and network data from all throughout an organization's digital ecosystem, it makes use of Darktrace's proprietary Self-Learning AI.

The business claims that Darktrace / CLOUD can quickly and proactively detect, investigate, and respond to harmful activities across cloud environments thanks to this contextualized awareness.

Furthermore, Darktrace / CLOUD's Self-Learning AI enables autonomous Cloud Security Posture Management (CSPM). It continually checks cloud settings against industry standards and helps security teams discover & highlight misconfigurations, vulnerabilities, and policy breaches in real time. Security teams may better allocate their restricted time and resources to areas that are most needed thanks to these capabilities, which provide them with a comprehensive, real-time picture of their cloud environments.

According to Microsoft's Orla McGrath, worldwide partner solutions lead; Darktrace and CLOUD are an exciting development of the two companies' long-standing partnership. Customers of Microsoft Azure security may now benefit from real-time cloud monitoring and response, and fast and easy access to a higher degree of security is made possible by Darktrace's integration into virtual network flow logs.

Darktrace / CLOUD is among the first security solutions to interact with virtual network flow logs on Microsoft Azure for agentless cloud deployment. Virtual network flow logs are used by Darktrace / CLOUD to automatically gather network data and establish connections with Azure cloud environments, requiring minimal human intervention beyond the initial deployment.

As such, providers claim that deployment durations may be shortened to as low as 15 minutes from several weeks for agent-based systems and several days for the majority of agentless solutions.


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