Cloud investigation platform vendor Cado Security has introduced cross-cloud compatibility, allowing security teams to quickly investigate incidents across several cloud environments in a single platform. With cross-cloud support, security teams can investigate and respond to attacks at cloud speed across environments on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
The European Banking Union urged members to examine concentration risk and steer clear of "a dominant service provider that is not easily substitutable" as FINRA and other organizations advocated for members to adopt a multi-cloud strategy. As a result, enterprises have adopted multi-cloud strategies in response in order to abide by changing rules, manage risk, and improve resilience.
Complexity increases when managing several clouds, especially for security teams. Each cloud provider uses a unique set of tools, monitoring logs, terminology, and APIs. Gartner estimates that 76 percent of businesses are using multi-cloud architecture, making it essential for security teams to be able to analyze and take appropriate action quickly. Cado Security streamlines investigations spanning many cloud environments by providing forensic-level detail without effort.
"Today's attackers don't work in silos. Investigations often span multiple cloud platforms, systems, and regions. It's critical that security teams have full visibility across their entire cloud estate to be able to grasp the full scope of an incident and ensure proper containment and remediation. Cado Security makes that possible,"
James Campbell, CEO and Co-Founder, Cado Security
The Cado Response platform combines data from many cloud platforms into a single timeline, enabling security professionals to quickly access crucial information, pinpoint the cause of an event, and take appropriate action. Only Cado gives security teams the ability to analyze and react at cloud speed thanks to its patent-pending architecture and broad support across cloud servers, containers, and serverless environments.