Revolutionizing Network Management: An Overview of Forward Networks’ AI Assist and Digital Twin Technology

Forward Networks, a pioneer in network modeling and verification, has unveiled a groundbreaking feature called AI Assist, integrated into its flagship digital-twin platform. This innovative capability allows network and security professionals to harness the power of natural language prompts to conduct queries across devices and environments, making network operations more efficient and insightful.

Gone are the days of complex command-line interfaces and cumbersome manual queries. With AI Assist, network and security professionals can now seamlessly interact with the Forward Networks platform using natural language prompts. This intuitive approach not only simplifies the querying process but also opens up possibilities for a wider range of professionals to engage with network analysis and troubleshooting.

Integration with Network Query Engine for Streamlined Operations and Insights

Built on top of Forward Networks’ powerful Network Query Engine (NQE), the AI Assist feature significantly streamlines network operations and provides valuable insights into network behavior. By leveraging the natural language capabilities, professionals can effortlessly retrieve specific information and metrics about their network, improving their ability to identify and resolve issues faster.

Generating Natural Language Explanations for Search Results

In addition to conducting queries, AI Assist goes above and beyond by enabling the generation of natural language explanations for search results. This feature not only provides a comprehensive view of the queried data but also aids in interpretation and understanding. Professionals can now easily comprehend and communicate complex network information to team members and stakeholders, fostering collaboration and accelerating decision-making processes.

Accurate Network Modeling through Configuration Collection

Forward Networks understands the importance of accuracy when it comes to network modeling. To ensure precise representations of enterprise networks, the company collects running configurations from networking devices. By analyzing these configurations, Forward Networks creates an accurate digital twin of the network, laying the foundation for reliable analysis and decision-making.

Development of a Large Language Model for Efficient and Safe Network Changes

To further enhance the efficiency and safety of network changes, Forward Networks is currently developing a large language model (LLM). This sophisticated model leverages advanced artificial intelligence techniques to enable professionals to make network changes with increased confidence and reliability. By harnessing the power of the LLM, network engineers can significantly reduce the risk of misconfigurations and ensure smoother network operations.”

Forward Enterprise: Creating Digital Twins Automatically

Forward Networks’ digital-twin platform, Forward Enterprise, takes network modeling to the next level. With its automatic discovery and creation of digital twins for enterprise networks, engineers can gain enhanced visibility into their infrastructure. This not only aids in troubleshooting and performance optimization but also enables proactive monitoring and risk mitigation.

Gartner’s Prediction: Increased Usage of Network Digital Twins

Industry research firm Gartner predicts that by 2027, approximately 15% of enterprise customers will adopt network digital twins for testing and validation. This forecast highlights the growing recognition of the benefits offered by digital twin technology, such as improved network resiliency, enhanced security, and streamlined operations. Forward Networks’ AI-powered platform, including the AI Assist feature, positions the company at the forefront of this emerging trend.

Identifying Vulnerabilities and Configuration Issues

One of the key advantages of digital twin technology is its ability to assist engineers in identifying vulnerabilities and configuration issues within the network. By creating an accurate replica of the network, professionals can simulate and evaluate various scenarios, uncover weak points, and proactively rectify potential risks. This proactive approach empowers organizations to maintain a robust and secure network infrastructure.

Forward Networks’ introduction of AI Assist, integrated into its digital-twin platform, marks a significant advancement in network resiliency and responsiveness. The AI-powered feature, complemented by the Network Query Engine and the forthcoming large language model, revolutionizes the way professionals interact with their networks. With the capability to conduct queries using natural language prompts, generate insightful explanations, and build accurate digital twins, Forward Networks empowers network and security professionals to optimize operations and make informed decisions with ease. As the adoption of network digital twins continues to grow, Forward Networks is well-positioned to lead the industry with its transformative and powerful platform.

Explore more

Master the Human Edge to Beat Modern Hiring Algorithms

The contemporary recruitment environment requires an unprecedented level of strategic precision to ensure that an individual’s unique value is not discarded by an automated filter before a human eyes the resume. While technology promises efficiency, the reality for many is a grueling cycle of silence and automation. This friction has created a landscape where the standard rules of job seeking

How Will Agentic AI Redefine the Corporate Finance Model?

The relentless pursuit of technological efficiency often leaves the very departments that fund global innovation operating on legacies of fragmented spreadsheets and manual reconciliation efforts. In many high-growth technology organizations, a striking contradiction remains visible where the creators of cutting-edge software still manage their own internal books through labor-intensive processes. This friction creates a bottleneck that limits the speed of

Content Creation Careers Will See Robust Growth Through 2034

The transition from digital hobbyism to institutional media powerhouses has transformed the once-nebulous concept of social media influence into a rigorous, high-stakes corporate discipline that now serves as the primary engine for global brand growth. As of 2026, the digital landscape has shifted from a chaotic frontier of hobbyists into a structured, high-stakes industry where a single piece of media

Why Is CRM and Trading Platform Integration Essential?

The split-second decisions that define success in the modern forex market leave no room for delayed responses or fragmented data streams that hinder a brokerage’s ability to capitalize on high-value client opportunities. Within the first 48 hours of lead registration, a window of opportunity exists where conversion rates are at their peak. However, many brokerages fail to realize that delayed

What Are the Best Transactional Email Platforms for 2026?

The split-second window between a user’s interaction with a mobile application and the arrival of a confirmation email represents the most critical frontier in the battle for modern consumer confidence. In an era where digital services are judged by their responsiveness, the infrastructure supporting automated communication has evolved from a back-end utility into a primary pillar of the user experience.