Stop Shadow AI Before It Owns Your Network | John Capobianco, Itential

Enterprise network infrastructure is one of the last places organizations feel safe deploying AI agents. The stakes are too high, the blast radius too wide, and the trust gap between what AI can do and what operators will allow it to do remains enormous. Without a structured path from read-only observation to autonomous action, most agents stay locked in sandboxes and never touch production.

In this exclusive interview with Swapnil Bhartiya at TFiR, John Capobianco, Head of AI and Developer Relations at Itential, breaks down how FlowAI closes that gap by combining a reasoning layer and execution layer under a single governance model, giving enterprise teams a concrete, auditable path to deploying AI agents in live network operations without sacrificing control.

Key Topics Covered: - Why 64% of network engineer tasks are read-only and why that is the safest entry point for agentic automation - How FlowAI's build-time tool selection eliminates wrong-tool hallucination at runtime and limits blast radius - The three-layer architecture of Flow Agent, Flow Agent Builder, and Flow MCP Gateway and how they work together for role-based agent execution - How bring-your-own-model support and local LLM hosting address air-gapped environments and data sovereignty requirements - Practical enterprise use cases already in production: ticket triage via ServiceNow, source-of-truth reconciliation, and port turn-up automation

Read the full story and transcript at www.tfir.io

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