What Consistent Leadership Across SSE, SD-WAN, and SASE Signals

Employees are leveraging AI to boost productivity and adopt skills that would take years to learn. This ranges from drafting content, writing code, and building automated workflows. Some of this use is approved. Much of it is not.

For many security teams, the first instinct is to treat this risk like they would any other SaaS risk: discover the app, allow or block access, apply DLP rules, and report on usage. That model works for traditional SaaS, but AI is different.

AI risk does not always sit neatly inside an app, file, or structured data field. It shows up in prompts, responses, and the actions AI systems can take, and securing it requires a different kind of control.

Where Traditional Controls Stop Short for AI

GigaOm’s latest analysis highlights a clear shift in the market. As they note, “The standalone Secure Service Edge (SSE) market has largely disappeared, with leading vendors now offering complete SASE solutions that converge software-defined wide-area network (SD-WAN) and SSE into single-vendor platforms. Organizations increasingly favor this consolidated approach to reduce operational complexity and improve visibility.”

What is emerging in its place is not another category, but a shift toward SASE delivered as a single, converged platform. While this does not eliminate modular buying, many organizations still start with SSE and expand over time. What is changing is the underlying approach. Organizations are increasingly evaluating and adopting capabilities in the context of a broader, converged platform from the outset, rather than stitching together products over time.

This shift is already reflected in how the market is being evaluated. Cato Networks has been named a Leader and Outperformer in the latest GigaOm Radar for SSE, building on consistent recognition across SD-WAN and SASE. In other words, Cato’s leadership is validated through independent analyst assessments of SSE, SD-WAN, and SASE itself, three critical benchmarks for converged networking and security platforms:

• Leader/Outperformer: GigaOm Radar for Software-Defined Wide Area Network (SD-WAN) Solutions v6
• Leader/Outperformer: GigaOm Radar for Security Service Edge (SSE) v3
• Leader/Outperformer: GigaOm Radar for Secure Access Service Edge (SASE) v3

Built as a Platform, Not Assembled

Not all approaches to SASE are the same. Many vendors have combined separately developed networking and security products, often through acquisition. While this expands feature coverage, it introduces operational complexity, inconsistent policy enforcement, and fragmented visibility. Cato is built differently. The Cato SASE Platform was designed from the outset as a single, converged system, where networking and security are delivered through one architecture, one policy framework, one operational model, and a global private backbone. The result is not only functional breadth, but consistency across all use cases. Recognition as a Leader and Outperformer across SSE, SD-WAN, and SASE reflects this architectural distinction.

Outcomes Without Added Complexity

As organizations scale across cloud, SaaS, and edge environments, the cost of integrating and operating disconnected products continues to rise. This complexity increases operational overhead, expands risk exposure, and raises the cost of incidents. In response, organizations are prioritizing unified platforms that reduce fragmentation, enforce consistent policy, and provide complete visibility. At the same time, organizations continue to adopt SASE in different ways. Some organizations deploy a full SASE platform from the outset. Others begin with specific capabilities and expand over time. Cato supports this model through modular adoption. Organizations can start with SSE, SD-WAN, Zero Trust access, or AI Security and expand into a full SASE deployment without introducing fragmentation. As capabilities are added, value compounds through a shared foundation, including a single management console, a unified policy framework, and a common data layer.

Extending Beyond SSE

The value of SSE becomes clearer when it is part of a converged platform. As GigaOm notes: “Cato Networks takes a targeted SASE platform approach, innovating beyond traditional SSE boundaries and adding emerging features such as AI security, AI security posture management, endpoint detection and response (EDR), and endpoint protection platform (EPP) while continuously improving its unified platform.” Because these capabilities are part of a unified platform, security inspection occurs inline with networking, and policies are defined once and enforced consistently across users, sites, and applications. This reduces operational complexity and ensures consistent outcomes.

Momentum and Continued Innovation

Cato’s Outperformer designation reflects continued execution and alignment with market direction. GigaOm highlights this directly: “Cato Networks is classified as an Outperformer due to continuous platform innovation, including AI and machine learning-powered threat detection, Enterprise Browser Extension for agentless ZTNA, and expanding GenAI security capabilities.” Recent innovations extend these capabilities further. Cato delivers AI-native security through GPU-powered inspection embedded across its global private backbone, along with integrated AI security capabilities to govern and protect AI usage and emerging agentic workflows. These advancements build on the existing architecture rather than adding new layers of complexity.

Looking Ahead

The shift toward SASE is accelerating as cloud, hybrid work, and AI increase scale and complexity. Autonomous agents will expand interaction volume and the attack surface. In this environment, SASE becomes the control point for visibility, inspection, and policy enforcement across every interaction. The defining capability is line of sight, the ability to see, inspect, and govern every interaction in real time. Consistent recognition across SSE, SD-WAN, and SASE is not only validation of current capabilities. It reflects an architecture designed for what comes next.

To learn more, download and read the 2026 GigaOm Radar for SSE and the 2026 GigaOm Radar for SASE.