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Chief Product Officer Vinay Prabhu demonstrated the Graphiant infrastructure, first focusing on the network for AI. He framed AI as a massive publisher-subscriber problem and demoed a B2B data exchange where services, like GPU farms, can be published to a personal marketplace. This allows partners (both on and off-network) to be securely connected in minutes, automating complex routing, NAT, and security. This capability is then monitored by the Data Assurance Dashboard, which uses a real-time telemetry pipeline (correlating NetFlow, DNS, and DPI) to provide deep visibility without decrypting payloads. This dashboard identifies malicious threats, provides full auditability, and offers an “Uber-like” spatial and temporal view, allowing operators to prove an application’s exact path and confirm compliance with geofencing policies.
This visibility enables absolute control, where users can define policies for performance, path, or risk. Prabhu confirmed customers can enforce policies to drop traffic rather than failover to a non-compliant path, ensuring governance is never compromised. The presentation concluded with the AI for the network component: GINA, the Graphiant Intelligent Network Assistant. GINA acts as a virtual team member, capable of running a “60-minute stand-up in 60 seconds” by generating guided operational and compliance reports. Prabhu stressed that GINA does not train on customer data; it uses Generative AI to interpret queries and accesses information strictly through the user’s existing role-based access control (RBAC) APIs, ensuring data remains secure.
Personnel: Vinay Prabhu
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