Darktrace, a global leader in AI for cybersecurity, is expanding Darktrace / CLOUD to support Microsoft Azure environments, leveraging Microsoft's virtual network flow logs for agentless deployment.
Also available for AWS deployments, Darktrace / CLOUD is built from the ground up for cloud defense. It leverages Darktrace's unique Self-Learning AI to monitor cloud assets, containers, and users, and correlate that activity with identity and network data from across an organization's digital ecosystem.
According to the company, this contextualized understanding enables Darktrace / CLOUD to provide proactive detection, investigation, and response to malicious activity across cloud environments, within seconds.
Darktrace's Self-Learning AI also enables Darktrace / CLOUD to deliver automated Cloud Security Posture Management (CSPM). It continuously assesses cloud configurations against industry standards, and allows security teams to identify and prioritize misconfigurations, vulnerabilities, and policy violations in real-time. These capabilities give security teams a complete, live understanding of their cloud environments and help them focus their limited time and resources where they are needed most.
"Darktrace / CLOUD is an exciting expansion of Darktrace and Microsoft's longstanding collaboration. It brings real-time cloud detection and response to Microsoft Azure customers, and through Darktrace's integration with virtual network flow logs, makes accessing that new level of security fast and simple,” said Orla McGrath, global partner solutions lead, U.K., Microsoft.
Darktrace / CLOUD is one of the first security systems to integrate with Microsoft Azure's virtual network flow logs for agentless deployment into the cloud. By leveraging virtual network flow logs, Darktrace / CLOUD automatically captures network data and integrates into Azure cloud environments with minimal manual effort beyond initial configuration.
Consequently, deployment times are reduced to as little as 15 minutes, from several weeks, common for agent-based systems, and several days with most agentless systems, according to the vendors.
Darktrace / CLOUD's agentless approach additionally lowers the cost of operating cloud by eliminating the CPU and memory consumption associated with cloud security agents. Through Darktrace / CLOUD's agentless approach, the need for dedicated resources per cloud instance is reduced and performance impact minimized. Teams can scale their security across their cloud architecture without the cost of additional agents.
"As organizations rapidly transition to the cloud, cloud detection and response are becoming critical to ensuring safety and security, but personnel and cost are proving notable barriers to their effective deployment," said Max Heinemeyer, chief product officer at Darktrace. "We built Darktrace / CLOUD to help teams protect their cloud with the resources they have. Using our Self-Learning AI, integrated with Microsoft Azure, it deploys quickly and easily then provides teams with constant visibility, autonomous investigation and real-time response without ballooning operating costs. Teams can focus on building their resilience, not firefighting."
Darktrace / CLOUD is available through Azure Marketplace via private offer, listed under Darktrace ActiveAI Security Platform.
For more information about this news, visit https://darktrace.com.