
I asked whether the Nvidia partnership was more about branding than engineering. Bonavita said the value came from combining Nvidia GPUs, Morpheus, an AI application framework, and Nvidia’s NIM inference microservice model, which GTT extended with its own patent-pending work.
Combatting firewall sprawl is the near-term win
The use case that’s most important to early customers is a familiar struggle: real-time analysis of firewall configurations against known security frameworks and building a single policy across multiple vendors. Bonavita described an enterprise customer with 110 sites moving from cloud-managed Palo Alto Networks firewalls to on-premises Fortinet gear. Done manually, the conversion took about three and a half weeks. GTT Defense Halo completed it in roughly three and a half hours, with human review. Once the changes were approved, a rerun took 11 minutes.
With AI-assisted bug hunting driving CVE volumes sharply higher, knowing which vulnerability matters on which device, in the context of actual traffic, is far more valuable than another prioritized list. This drove another use case for Defense Halo: CVE correlation. GTT analyzed 145,000 devices across its managed firewall estate, spanning Cisco, Check Point, Palo Alto, HP, and Fortinet, in two hours and 15 minutes.




















