Research Hub > AI-Enhanced Zero Trust: Securing Hybrid Networks for the Future of Work

September 15, 2025

Article
4 min

AI-Enhanced Zero Trust: Securing Hybrid Networks for the Future of Work

Hybrid networks have made security needs more complex. With an AI-enabled zero trust approach and SASE solutions, your organization can implement scalable, intelligent protections that will empower your IT team.

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Enterprise networks have changed. In this new network reality, employees work from all sorts of places — home, the office, a coffee shop or anywhere in between. Applications live on-premises, in private clouds or in public cloud environments. Traffic patterns are dynamic, access points are distributed and security perimeters are increasingly porous.

In this environment, the traditional network security model we’ve come to know can’t keep up. Perimeter-based models fall short when it comes to the modern, hybrid workforce.

Enterprises are shifting toward zero trust network access (ZTNA) and secure access service edge (SASE) and security service edge (SSE) solutions, which prioritize identity, device posture and continuous verification over static network boundaries. Hybrid work and distributed applications have redefined what “secure” even means, demanding a fundamentally new approach that spans all environments without introducing friction for users or teams.

The Rise of SASE as a Convergence Point

SASE represents a pivotal shift: it unifies software-defined WAN (SD-WAN) with SSE. This convergence helps break down traditional silos between network and security teams, streamlining operations and improving visibility.

SASE simplifies policy enforcement, setting the stage for future innovations. It’s about understanding SASE as a framework for modernization, not a checkbox technology, especially when managing hybrid and cloud-first environments.

Why AI Matters for Zero Trust

Many organizations are already interacting with artificial intelligence (AI) without realizing it. Endpoint detection and response (EDR), extended detection and response (XDR) and network anomaly detection tools are all leveraging machine learning and AI to automate routine analysis and identify threats faster.

How your organization chooses to leverage third-party platforms is ultimately much more important than building AI in-house for your network security needs. The AI already embedded in these solutions will dramatically reduce manual effort, improve detection accuracy, and accelerate response times, without requiring a single line of machine learning code from your team.

Zero trust is fundamentally data-intensive. Having to process identity signals, device posture, network behavior and contextual activity in real time can be too much to manually monitor.

These solution platforms bridge the gap between static policies and adaptive enforcement. AI makes Zero trust not just a principle, but a practical, operationally feasible strategy that improves security while reducing operational overhead.

The Future of AI and Network Security

Despite the potential AI tools can bring to your organization, it’s important to remember that it is not the be-all, end-all solution. Handing over full control to AI to monitor your network security is not something we expect to see for the foreseeable future.

The stakes are too high; a misconfigured rule at the edge, firewall or identity gateway could disrupt critical business operations. Because of this, we expect AI adoption to follow the same pattern as early Wi-Fi automation — organizations will start small and scale gradually. Gradual, domain-specific adoption will help your team to measure results and integrate AI confidently without exposing critical systems to risk.

For now, it’s better to think of AI as a guidance and acceleration tool. It can alert your team to suspicious activity, identify patterns and recommend remediation. Human oversight remains crucial to this entire process. This ensures agility without compromising safety.

How CDW Can Help You Reinforce Your Network

CDW can provide you with the guidance, technology and operational expertise to build a modern security framework rooted in zero trust principes and SASE architecture. Here’s how:

  • Zero trust and SASE assessments: CDW can help you evaluate network, identity and endpoint readiness, while mapping opportunities to converge networking and security with SASE.
  • Strategic roadmaps: CDW can help you design phased zero trust and SASE implementations that minimize disruption while aligning with your long-term business goals.
  • Technology enablement: CDW can help you deploy solutions across identity, device, application and network layers, leveraging SASE to unify security controls with cloud-delivered networking.
  • Managed services: CDW can help you deliver continuous monitoring, analytics and threat response, ensuring that your Zero Trust and SASE policies stay effective as environments evolve.

By aligning policies, processes and technology, CDW can help your organization to secure its hybrid workforce, simplify operations through convergence and enable both productivity and business agility.

Future-proof your network security and start your zero trust and SASE journey with CDW.

Mike Johnson

Solution Practice Lead with CDW

Mike Johnson has more than 25 years of experience helping organizations solve business challenges with technology. He has held roles focused on planning, designing, upgrading and maintaining critical network infrastructure. Throughout his career, Johnson has remained dedicated to aligning networking solutions with both current and future business needs.