Cloud & collaboration
Cloud security still isn’t where it needs to be. Static and siloed defenses are simply no match for the unfamiliar risks, complexity, and speed of digital business, but with self-learning AI, the Enterprise Immune System is empowering organizations to embrace the cloud with confidence.
Protecting dynamic workers and workloads across hybrid and multicloud
The Enterprise Immune System learns normal ‘patterns of life’ to protect against unknown and unpredictable cyber-threats. Delivered seamlessly from the cloud, the immune system provides comprehensive coverage that autonomously extends and adapts to your business at the speed at which you wish to modernize.
With today’s dynamic workforce and distributed infrastructure, more often than not this means securing new and unfamiliar cloud services from targeted attacks. Cyber-criminals aiming to maximize ROI will continue to target these areas, both because this is where critical data and operations live, and because most cloud security postures are simply not where they need to be.
The unique challenges of cloud security will not only require a more agile mindset, but also self-learning technologies that adapt at the speed of cloud deployments and evolve as fluid working practices continue to invert the traditional paradigm of the network perimeter. This paradigm has increasingly shifted to a focus on the identity of distributed users and devices, whether that means identifying suspicious admin behavior in AWS or compromised credentials in Box or Microsoft Teams. This, of course, is where self-learning AI shines.
Self-learning AI: Understanding the human behind cloud & collaboration tools
Whereas niche solutions in cloud security remain static, siloed, and retrospective, the Enterprise Immune System harnesses self-learning AI to ‘understand the human’ in all their complexity – right here, right now, in the context of your unique digital business and workforce.
This means understanding a dynamic constellation of behavior around files, resources, containers, and applications at a level of analysis that is as granular as it is far reaching. Indeed, Darktrace learns and analyzes behavior within and across cloud services, and also correlates this analysis with behavior across email platforms, remote endpoints, and the corporate network, unifying enterprise defenses and leaving attackers with nowhere to hide.
Darktrace’s ability to detect threats in the cloud is therefore not only more adaptive and intelligent than niche and native controls in this area, but also married up with behaviors in the rest of the organization, providing more context, better detections, and unified visibility across the digital business. AI detections in the cloud range from compromised credentials and insider threat, to cloud misconfigurations that would otherwise go unnoticed.
Cyber AI defense for the dynamic workforce
Detects anomalous device connections and user access, as well as unusual resource deletion, modification, and movement
Catches unusual permission changes, and anomalous activity around compliance-related data or devices
Spots brute force attempts, unusual login source or time, and unusual user behavior including rule changes or password resets
Identifies the subtle signs of malicious insiders – including sensitive file access, resource modification, role changes, or adding/deleting users
How Cyber AI scaled to secure Cradlepoint’s SaaS environments
As working patterns continue to evolve, Darktrace provides visibility over the remote business, detecting everything from account takeovers to advanced phishing attacks. This blog discusses how Cradlepoint utilizes Cyber AI to secure its SaaS environments.