Aella Data was founded and funded by the core team that brought NetScreen Technologies (now Juniper Networks) to market. The team also has extensive networking and security experience at a wide variety of startups and industry leads, including Juniper, Cisco, Fortinet, Barracuda, Zscaler, Comodo, Lastline, and many more.  Our Starlight Pervasive Breach Detection System combines Next Gen SIEM capabilities with AI-Driven security detections that can be deployed pervasively across all network types, including hybrid environments, and supports physical, virtual, and containerized servers with unprecedented data visibility that includes network, file, user, server, process, and application data in a correlated, contextual flow record. 

We leverage a massively scalable, multi-tenant platform built on a distributed, microservices architecture, using multiple machine learning models including supervised and unsupervised machine learning and deep learning, as well as unique machine learning in each tenant slice.

By combining data acquisition and visibility with technologies like SIEM, IDS, and Sandbox, and advanced machine learning, we eliminate blind spots. Through data reduction of 100:1 (raw data to Aella Flow meta data) and further reduction from meta data to security events of 1000:1, and then applying machine learning for an additional 10:1 reduction from security events to high fidelity alerts, we can eliminate the noise and find the needle in the haystack, while still preserving the data needed for further investigation and visualization.

Twitter Handle: @aelladata