Forward Networks Introduces Forward AI to Accelerate Network Operations with Mathematical Certainty

Forward Networks, the industry leader in network digital twin technology, today announced Forward AI, a new capability that accelerates network operations by enabling network, security, and cloud teams to ask complex questions, understand network behavior, validate outcomes and safely automate workflows with confidence. Built on a mathematically accurate digital twin of the network, Forward AI allows IT teams and AI agents to act on trusted data rather than assumptions.

As IT organizations accelerate AI adoption and modernization, network complexity is increasing while headcount remains largely flat, placing new pressure on teams to sustain reliability and security at scale. AI-driven operations offer a path forward, but require accurate, complete, and verifiable data.

“When we founded Forward Networks, we started with a simple but strategic question: does the network actually behave as intended, by design, in production, and across changes,” said David Erickson, CEO and co-founder of Forward Networks. “Answering that question requires more than visibility. It requires a mathematically accurate model of the network itself. That foundation is what Forward Enterprise delivers. Forward AI builds on it to fundamentally expand what’s possible, allowing enterprises to safely reason about their networks, validate outcomes, and take action with confidence. This is how AI becomes a trusted part of operating critical infrastructure.”

“Forward Enterprise is already trusted by organizations running some of the largest and most complex networks in the world,” said Nikhil Handigol, co-founder and chief AI officer at Forward Networks. “That experience has given us a first-hand view into the operational challenges that matter most, and into where human error and uncertainty still limit confidence and scale. Forward AI builds on those learnings by extending the power of a mathematically accurate digital twin across operations, enabling organizations to safely adopt AI-driven workflows, reason transparently about outcomes, and preserve the safeguards required to operate critical infrastructure.”

Forward AI establishes a foundation for the safe adoption of agentic AI in network operations by delivering validated, evidence-backed recommendations. Built on a complete, behaviorally accurate understanding of the network, Forward AI enables agentic workflows that IT teams can trust. Each result is accompanied by clear evidence, allowing teams to inspect underlying data and reasoning, validate outcomes, and act with confidence.

Forward Networks is extending trusted agentic AI beyond its own platform. Through support for the Model Context Protocol (MCP), Forward AI makes its verification foundation available to enterprises and third-party developers, enabling them to build agentic tools that deliver trustworthy outcomes grounded in accurate, always current network data.

“Because Forward Enterprise delivers comprehensive, domain-specific network data for heterogeneous environments, it is well positioned to take advantage of agentic capabilities,” said Bob Laliberte, principal analyst for networking and observability at theCUBE Research. “Forward AI strengthens trust in AI by providing full transparency into how recommendations are generated. Exposing the reasoning behind AI-driven actions, keeps humans in the loop, builds confidence, and ultimately improves operational efficiency.”

Forward AI will be included in the Forward Enterprise platform. The capability is scheduled for general availability in April 2026.