Introducing Forward AI

Introducing Forward AI

As enterprises move toward agentic operations, speed without data accuracy becomes a liability. At Forward Networks, we recognized this challenge and set out to deliver a solution: speed backed by mathematical accuracy.

In networking, acting on incomplete or approximate data is not an inconvenience, it is a cause of outages, security exposure, and operational risk. Over the past decade at Forward Networks, we have focused on a single foundational question: does the network actually behave as intended in production, across changes, and at scale?

Answering that question required more than visibility. It required a mathematically accurate model of the network itself.

That foundation is what Forward Enterprise delivers today. Forward AI builds directly on it.

From Language to Action, Grounded in Mathematics

Forward AI is a native capability within the Forward Enterprise platform. It allows network, security, and cloud teams to interact with their networks using natural language, while ensuring that every response and every action is grounded in the Forward Enterprise network digital twin.

Unlike general purpose AI systems that infer answers from partial data or probabilistic patterns, Forward AI reasons over a complete, behaviorally accurate model of the network. When a question is asked, the system does not approximate an answer. It evaluates the network as it exists, computes the outcome, and returns results that can be inspected, verified, and trusted.

This distinction matters. In critical infrastructure, confidence comes from evidence, not intuition.

An Agentic System Built for Operational Reality

Forward AI is not just another thin wrapper around an LLM. It is a conversational agentic system designed to plan, reason, and execute multi-step workflows using mathematically validated network data, built natively on the industry’s first mathematically accurate network digital twin. While general-purpose AI often relies on assumptions, Forward AI acts on trusted data.

When you submit a prompt, Forward AI doesn't approximate an answer based on assumptions or partial context. Instead, it constructs an execution plan, performs deep network analysis, and produces results accompanied by clear explanations of the underlying reasoning. Every outcome is derived from domain-specific evidence, allowing operators to understand not just what the answer is, but why it is correct.Forward AI automates the heavy lifting - writing complex queries, performing deep analysis, and validating outcomes - so teams can move faster without introducing risk.

This approach reduces dependence on specialized expertise while preserving the rigor required to operate large, complex networks safely.

What This Enables in Practice

With Forward AI, teams can now:

• Access Expert Knowledge
  Use natural language to understand reachability, routing behavior, configuration drift, and more without requiring deep domain expertise or constant escalation.
• Troubleshoot with Confidence
  Replace multi-tool investigation with verified answers computed directly from the network’s actual behavior, massively reducing time to resolution.
• Scale Agentic Workflows Safely
  Forward AI provides the trusted data foundation for agentic operations, coordinating multi-step workflows across your environment while verifying compliance to ensure every action is evaluated before execution.
• Automated Operations Verified
  Use Forward AI as the verification layer for automated operations, ensuring every action is evaluated before execution.
• Operate with Built-In Guardrails
  Maintain the safeguards of the network digital twin within AI-driven workflows, reducing risk of both human and machine error.

One Foundation for Every Team

Network complexity has traditionally required highly specialized expertise. Forward AI changes that by making the network speak your language, instantly leveling up every team:

• NetOps can diagnose and resolve customer-impacting issues in seconds rather than hours by replacing multi-step workflows with simple natural language conversations.
• SecOps can verify segmentation, understand your true attack surface, assess blast radius, identify CVE’s, and mitigate risks before they can be exploited
• CloudOps can trace packet paths across public clouds, such as AWS, Azure, and on-premises environments in a single view.

An Open Ecosystem for Agentic Operations

We aren't just building a single feature. We are enabling an ecosystem to ensure every enterprise can access the benefits of agentic operations with limited risk.

By exposing Forward Enterprise capabilities through the Model Context Protocol (MCP), Forward AI allows agentic systems to access trusted, domain-specific network understanding as part of a broader operational stack. This makes Forward AI a verification foundation that other tools and agents can rely on.

Forward AI extends beyond the Forward platform by coordinating actions across existing operational tools. For example, it can auto-populate ServiceNow tickets with validated network evidence or send proactive alerts to Slack. Whether teams use Forward’s built-in agent or develop your own, the Forward Networks digital twin provides the mathematical accuracy required for safe, trusted automation.

Toward Trusted Agentic Operations

We are entering a phase where AI systems will increasingly participate in operating critical infrastructure. That future depends on trust, transparency, and correctness.

Forward AI represents a step toward that future by grounding agentic behavior in mathematical certainty. By removing guesswork and exposing evidence behind every recommendation, it enables organizations to adopt AI-driven operations without compromising reliability or security, transform organizations networks into a dependable driver of business outcomes.

If you would like to see Forward AI in action, we will be sharing a live walkthrough in our upcoming webinar on February 18th, 2026.

Register for the Webinar >