
Before he marketed AI that sorts real cyber threats from noise, Tommy Jenkins spent years asking marketing teams to separate useful signals from vanity metrics. His path from Red Hat’s operational engine room to Vectra AI’s C-suite is a study in making complexity answer one plain question: what deserves attention?

A state-backed breach, an unfashionable bet on machine learning, and two years of stubborn experimentation shaped Hitesh Sheth’s approach to cybersecurity: find the signal after attackers get in.
Vectra AI is a San Jose-based cybersecurity company that uses artificial intelligence to detect, investigate, and stop active cyberattacks across hybrid and multi-cloud environments. Its platform - built around what the company calls Attack Signal Intelligence - watches network, identity, public cloud, and SaaS behavior to surface real attacks in progress while filtering out the noise that overwhelms security teams. Founded in 2011 and led by CEO Hitesh Sheth, Vectra has raised roughly $425M, reached a $1.2B valuation, and was named a Leader in the 2026 Gartner Magic Quadrant for Network Detection and Response.