The transition to the cloud has fundamentally reshaped the digital business and the traditional paradigm of the network perimeter. Hybrid infrastructure and distributed workforces are now part of the furniture of an increasingly diverse digital estate, with multi-cloud practices introducing a new layer of complexity. Many organizations are struggling to keep the cloud secure.
Security teams not only struggle with a lack of visibility and control of their cloud environments, but also diverse and incompatible defenses that can often lead to overly relaxed permissions and simple mistakes. This traditional ‘stovepipe’ approach to security is rarely robust and unified enough to provide sufficient coverage, relying on static and siloed methods that fail to detect compromised credentials, insider threats, and critical misconfigurations.
The Darktrace Immune System platform, powered by Cyber AI, fills these gaps and protects the cloud using self-learning technology that understands ‘normal’ at every layer, dynamically analyzing the dispersed and unpredictable behaviors that show up in email, cloud, and the corporate network. This unified scope allows the system to identify subtle deviations indicative of a threat – from an unusual resource creation or open S3 bucket in AWS, to suspicious data movement in Salesforce, to a new inbox rule or strange login location in Microsoft 365.
Unlike policy-based controls, the immune system approach understands the user behind every trusted account in the cloud, delivering a unified detection engine that can correlate the weak and subtle signals of a cyber-attack or threat.