Agentic AI—the emerging class of autonomous systems that can plan, decide, and act with limited human oversight—has become one of the most talked-about technologies of 2025. The promise is enormous: faster operations, automated decision-making, and the ability to handle complexity at scale.
But in networking environments, these same capabilities can introduce serious risk. When an agent is powered by incomplete or inaccurate data, the result isn’t just a bad decision—it can be a chain reaction of errors. AI hallucinations, flawed assumptions, or missing context can lead to outages, compliance gaps, or even security incidents. Unlike traditional automation, which usually fails in predictable ways, agentic AI can break things faster and at a far greater scale.
The single most important factor in safe autonomy is data. Without precise, comprehensive visibility into the network, even the smartest AI agent will make unreliable choices. For complex enterprises with hybrid and multi-cloud environments, this challenge only multiplies.
This is where a network digital twin comes in. By creating a mathematically accurate, always-up-to-date model of the network, enterprises gain a trustworthy foundation for agentic AI. Verified data reduces uncertainty, eliminates blind spots, and ensures that AI decisions are grounded in reality rather than assumptions.
Adopting agentic AI doesn’t have to mean adding unnecessary risk. The key is building on secure, validated foundations. Executives evaluating this technology should look for:
By combining autonomy with accountability, complex enterprises can unlock the benefits of agentic AI while keeping their networks resilient and compliant.
Our co-founder, Dr. Nikhil Handigol, recently published an article in AIwire titled “Avoiding Mayhem, Enabling Autonomy: A Three-Act Play on Trustworthy Agentic AI.” In it, he explains:
His perspective highlights a core truth: agentic AI is not just hype. It can deliver real value—if implemented with the right foundations. Learn more about Forward Networks’ AI features.