IDC’s 21-page Business Value Solution Brief, The Business Value of Forward Networks (doc #US52128624, June 2024), quantifies how the vendor’s network-digital-twin platform turns insight into hard cash. IDC interviewed enterprises that had run Forward Enterprise for roughly three years and mapped their operational KPIs to its Business Value model, converting them into annualised dollars and full-time-equivalent (FTE) hours.$14.2 million in average annual benefits, broken down into $7.7 M from greater stability and reliability, $2.9 M from staff productivity and $3.6 M from other operational efficiencies.95.8 FTEs worth of time returned each year.33 % fewer unplanned-downtime incidents and 55 % faster mean-time-to-repair, preventing about 180 000 hours of lost productivity.Incident-response teams work 34 % faster; compliance/audit tasks 10 % faster.Network deployments finish 71 % sooner; change-planning/testing is 36 % faster; production fixes arrive 44 % faster.Forward Enterprise builds a mathematically exact, continuously updated digital twin of multi-vendor, hybrid-cloud networks. Engineers query reachability, policy and configuration drift in seconds and run “what-if” simulations before changes. This eliminates manual CLI hunts, shortens root-cause analysis, prevents misconfigurations and surfaces licence waste, underpinning the monetised savings above.
Customers also reported quicker security investigations (thanks to instant path analysis), smoother cloud migrations, clearer executive-level reporting and higher team morale as reactive “fire-fighting” declined.
IDC concludes that the platform typically pays for itself in under twelve months and then delivers a durable, measurable ROI. For organisations wrestling with complex, hybrid networks, a digital-twin strategy emerges as both an operations accelerator and a business enabler, aligning network health with broader risk-reduction and growth objectives.
Discover the Essential Guide to VMware Migration
Transitioning from VMware to VergeOS requires careful planning to minimize disruption. Our guide provides a structured process for a smooth migration:Key Sections of the Guide1. Evaluation of Alternatives - Research and Trial: Identify and test virtualization solutions for performance, compatibility, features, and support. - Cost-Benefit Analysis: Compare costs and calculate ROI to evaluate benefits over VMware.2. Planning the Migration - Detailed Plan: Outline timelines, resource allocation, and risk management. - Infrastructure Preparation: Ensure hardware and network compatibility
3. Execution and Post-Migration - Pilot Migration: Start with non-critical systems to test the process. - Full-Scale Migration: Schedule during low-usage periods, back up data, and execute the migration. - Post-Migration Testing: Verify functional and performance standards in the new environment.4. Phased Migration Process- Backup/DR: Use VergeOS for cost-effective backup and disaster recovery of the VMware environment.- NAS Replacement: Replace Network Attached Storage with VergeOS.- Testing: Test workloads for compatibility and performance.- Conversion: Incrementally convert virtual machines, starting with low-priority workloads.Download the full guide now to optimize your virtualization strategy.
HYCU® is named a Visionary in the 2024 Gartner® Magic Quadrant™ for Enterprise Backup and Recovery Software Solutions for the 3rd time!
Explore the Gartner 2024 Magic Quadrant report for a comprehensive analysis of the enterprise backup and recovery market and discover why HYCU is again positioned as a Visionary.
HYCU believes their innovative approach to data protection and disaster recovery has earned them this recognition. Learn how HYCU is helping transform data protection with R-Cloud, designed to secure, and recover your data across all environments - from SaaS to on-premises to multi-cloud.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights are reserved.
Previous titles include Magic Quadrant™ for Enterprise Backup and Recovery Software Solutions (2022 - 2023).
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Verified Rate for Accurate Detection of Ransomware Corruption
The CyberSense 99.99% SLA, goes through rigorous testing against real-world scenarios with live ransomware. By leveraging continuous learning and AI to perform deep content inspection, CyberSense achieves unprecedented accuracy when detecting data corruption. Without this level of accuracy provided by CyberSense, organizations will remain vulnerable to ransomware attacks and will face elongated downtime and complex recovery processes that will negatively impact their organizations.
Maintain Confidence that alerts are real, and that false positives and negatives will be minimized
Support Continuous Accuracy with AI training done using real ransomware and studying how it changes data
Minimize Data Loss and cyber liability through detailed forensic reporting for faster, curated recovery
Prevent the Next Attack by feeding CyberSense's telemetry data to SIEM/SOAR systems
Read more in this validation from Enterprise Strategy Group (ESG)
Forward Networks co-founder Nikhil Handigol explains how organisations can harness agentic AI in networking and security without jeopardising reliability.
What makes AI “agentic” – Unlike chatbots, agentic systems pursue goals, choose their own tools and act autonomously. Market researchers expect the segment to surge from US $5.1 billion in 2025 to more than US $47 billion by 2030, and Gartner predicts that one-third of enterprise software will embed such capabilities by 2028. Upside for networks – Agents can:remediate newly disclosed vulnerabilities or block malicious traffic,resolve connectivity issues and reroute flows around failures,analyse patterns to predict and prevent impending outages. These abilities promise dramatic efficiency gains for short-staffed IT teams and better user experience. Risks to manage – Because an agent can act without human oversight, a mis-trained model or bad data could break compliance, introduce downtime or even cause physical harm. “Trust but verify” must therefore guide every deployment.Build the data bedrock – Autonomy is only as sound as the data it relies on. Enterprises need a complete, accurate record of every device, configuration and packet path. A network digital twin—a mathematically precise, continuously updated software replica of the live environment—provides that single source of truth. Digital twins as guardrailsPre-change simulation: Before any AI-driven or manual change, test it exhaustively in the twin to catch policy violations, compliance breaks or connectivity loss.Continuous verification: Twin-based rules monitor live behaviour and alert operators to drift or emergent problems. With this safety layer, CIOs can accelerate agentic AI adoption while preserving control.Bottom line – Agentic AI’s promise in networking is real, but benefits accrue only if robust data pipelines and digital-twin guardrails are in place. When those prerequisites are met, AI agents can handle routine operations and incident response, freeing humans for higher-value work and increasing organisational resilience.
GigaOm’s “Radar for Network Validation” (2024) addresses the growing need for enterprise-grade network assurance tools that validate architecture intent, enforce policies, and ensure compliance. The report establishes clear metrics—such as source-of-truth fidelity, breadth of validation, simulation capabilities, and ease of integration—as foundational evaluation criteria.
In this latest edition, Forward Networks is ranked as a top-tier “Outperformer” for the third consecutive year, earning placement close to the coveted “bullseye” that denotes market leadership. The report highlights Forward Enterprise’s strengths:Scalable Modeling & Path Analysis: A mathematically accurate digital twin can model state across 50,000+ devices and diverse public-cloud deployments, simulating end-to-end paths across Layers 2–4 and even Layer 7. This enables exhaustive pre-change validation and forensic path tracing.Compliance & Security Verification: The platform verifies that configurations adhere to compliance standards and security policies before deployment.Hybrid-Cloud Flexibility: Forward supports complex environments spanning on-premises and cloud infrastructures.Visualization & Forensics: Users can query network state “like a database,” visualize flows, and trace live or historical behavior to troubleshoot or investigate incidents.Why Forward stands out: GigaOm praises its technical excellence, calling out its performance across end-to-end validation, compliance/security verification, hybrid cloud support, and rich visualization features that outpace most of its 13 peer vendors.