Self-Learning Cyber AI for Microsoft Azure
With the launch of the Microsoft Azure Virtual Network TAP, Darktrace Cloud delivers its self-learning AI across the cloud more seamlessly than ever, allowing the platform to go beyond the limited insights that log-based tools provide, without the added complexity of capture agents. By deploying Darktrace's cyber AI, organizations can now leverage the full benefits of Microsoft Azure with the confidence that their security posture is resilient and their critical data is secure.
Powered by enterprise-grade AI, Darktrace Cloud brings a fundamentally unique approach to real-time cyber defense in the cloud. By continuously learning the normal ‘pattern of life’ for every user, device, and container, Darktrace’s AI can spot and stop the full range of cyber-threats in the cloud, from malicious insiders and external attacks, through to critical misconfigurations that can expose the business to future compromise.
In the past, organizations seeking to secure their workloads in the cloud have been forced to rely on tools that either capture logs for visibility, or analyze traffic using rules and signatures to detect known threats. Yet while logs may be helpful for compliance, they are incapable of delivering real-time insights that keep pace with the speed and sophistication of today's most advanced attacks. Equally, analytics tools that rely on rules and signatures may be able to identify known threats, but they fail to spot subtle insiders or novel attacks designed to evade traditional controls.
To fill this critical gap, Darktrace Cloud analyzes full traffic using enterprise-grade AI to spot subtle deviations indicative of a threat — whether they originate from compromised credentials, ‘low and slow’ data exfiltration, or lateral movement across the cloud. By identifying these early indicators of cyber-threat without relying on rules or signatures, Darktrace Cloud can autonomously detect and respond to never-before-seen threats that other tools miss.