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

Is 2026 the Year of 5G for Latin America?

The Dawning of a New Connectivity Era The year 2026 is shaping up to be a watershed moment for fifth-generation mobile technology across Latin America. After years of planning, auctions, and initial trials, the region is on the cusp of a significant acceleration in 5G deployment, driven by a confluence of regulatory milestones, substantial investment commitments, and a strategic push

EU Set to Ban High-Risk Vendors From Critical Networks

The digital arteries that power European life, from instant mobile communications to the stability of the energy grid, are undergoing a security overhaul of unprecedented scale. After years of gentle persuasion and cautionary advice, the European Union is now poised to enact a sweeping mandate that will legally compel member states to remove high-risk technology suppliers from their most critical

AI Avatars Are Reshaping the Global Hiring Process

The initial handshake of a job interview is no longer a given; for a growing number of candidates, the first face they see is a digital one, carefully designed to ask questions, gauge responses, and represent a company on a global, 24/7 scale. This shift from human-to-human conversation to a human-to-AI interaction marks a pivotal moment in talent acquisition. For

Recruitment CRM vs. Applicant Tracking System: A Comparative Analysis

The frantic search for top talent has transformed recruitment from a simple act of posting jobs into a complex, strategic function demanding sophisticated tools. In this high-stakes environment, two categories of software have become indispensable: the Recruitment CRM and the Applicant Tracking System. Though often used interchangeably, these platforms serve fundamentally different purposes, and understanding their distinct roles is crucial

Could Your Star Recruit Lead to a Costly Lawsuit?

The relentless pursuit of top-tier talent often leads companies down a path of aggressive courtship, but a recent court ruling serves as a stark reminder that this path is fraught with hidden and expensive legal risks. In the high-stakes world of executive recruitment, the line between persuading a candidate and illegally inducing them is dangerously thin, and crossing it can