Achieve the Modern Workplace with Recast Software is a guide designed to help IT leaders and professionals transform their complex IT environments into secure, agile, and efficient digital workspaces. This eBook explores the evolution of IT management, emphasizing how modern tools and strategies can streamline operations and enhance security.
Key Focus Areas Include:
What You’ll Gain:
By focusing on these critical areas, this eBook serves as a resource for IT professionals aiming to future-proof their digital operations while maximizing return on investment. Embrace a new era of IT management with solutions that bring together robust security, streamlined processes, and an agile approach to digital transformation.
In the current landscape, IT leaders—even those who have already embraced virtualization—face some difficult questions.
Given the growing popularity, simplicity, and consistent user experience of Microsoft Windows 365 (W365), is it worth fully transitioning to it? Or does it make more sense to retain the control and flexibility that Azure Virtual Desktop (AVD) and other virtualization platforms provide?
How hard is it to manage a virtual computing ecosystem where some users are on AVD, some are on W365, and a small number still use their physical desktops? What’s the simplest and most cost-effective course of action?
This guide was designed to give you the insights you need to make an informed decision for your organization.
In this white paper, you'll discover:
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.