Tech Field Day Graphiant Demo: AI Networking, Assurance, and GINA

AI networks fail for two reasons. Partner data exchange stays slow, and visibility stays shallow.

Graphiant CPO Vinay Prabhu demos a different operating model to overcome the common pitfalls with AI adoption.

First, Graphiant turns partner connectivity into a marketplace workflow. Publish a service like a GPU farm. Add partners on-network or off-network. Send an invite. Graphiant automates routing, NAT for overlapping IP space, and per-relationship security, without the email chains, pre-shared keys, and ticket ping-pong.

Next, Graphiant Data Assurance gives proof, not guesses. A real-time telemetry pipeline correlates NetFlow, DNS, and DPI signals to identify applications, spotlight suspicious endpoints, and show blast radius. No payload decryption required. When risk climbs, you get the context behind the rating, then block or quarantine at the policy layer.

Then comes the part most platforms skip. Control that respects governance. Define risk, path, or performance policies. Enforce geofencing. Prefer drop over failover when compliance matters more than uptime.

This approach targets a hard reality. Breach impact keeps climbing. IBM reports a $4.88M global average data breach cost in 2024. Downtime burns cash too. One estimate puts large-org downtime near $9,000 per minute.

Watch Vinay's demo from Tech Field day for the full walkthrough.

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