Security work is shaped as much by the threat as by the volume of data that surrounds it.
Subo Guha, SVP of Product Management at Stellar Cyber, has spent his career at the intersection of servers, IT management, SaaS, and security. That path gave him a front-row view of how threat volume outpaced the tools meant to contain it. By the time most companies realized alert overload was becoming unmanageable, Stellar Cyber had already designed its platform around the problem.
The company took a different route from the industry’s incumbents. While others assembled their platforms through acquisitions, Stellar Cyber built a unified, AI-ready foundation from day one—introducing machine learning, graph ML, and now agentic approaches directly into its architecture. Their open model lets MSSPs and enterprises keep the tools they already use, while Intelligent Sensors filter data before it ever reaches the cloud. For MSSPs in particular, the multi-tenant design has aligned with growing global demand from mid-market organizations that lack internal security expertise.
Stellar Cyber is extending its platform with a human-augmented SOC, where intelligent agents handle the heavy lift of sorting signals and filtering noise. As attackers push more volume into every layer of the stack, the company is building these capabilities to give customers a faster, more sustainable way to respond.