We live in a multi-cloud world, and the enterprise challenge is to deliver tight security across public, private and hybrid clouds as well as virtualized infrastructure. With public cloud services like AWS, Azure and GCP becoming popular choices for applications, sensitive data such as customer or subscriber information become highly attractive targets for malicious actors, and weaknesses in on-premises cloud or virtualization security leave companies more susceptible to attacks.

On premises, virtual environments have become the new norm for deploying servers, but the challenge of security visibility in this environment still exists. Deploying too many security tools in a virtual environment will consume too many resources, and sending every single packet out to external security tools will have I/O and CPU utilization issues. Because of these problems, organizations are constantly challenged with how to scale security across virtual infrastructures offered by VMWare, KVM and HyperV as well as Docker containers.

Stellar Cyber’s Interflow™  technology foundational to the Starlight platform solves these problems. By deploying software-based agents in cloud instances or using a single data collector off of the mirror port of a virtual switch on premises, packets are collected and converted to metadata in real time. The reduction of packets to metadata can result in a 100-to-1 savings of network bandwidth and improves performance by sending a reduced yet complete amount of data to a distributed, data processor, security analyzer and machine learning engine.

The result? Stellar Cyber’s Starlight platform detects and responds to attacks throughout your network in minutes, whether on premises or in the cloud. It uses advanced detection, analysis and response mechanisms to weed out false positives so security analysts can focus on real threats, allowing them to respond in minutes rather than hours or days.