Stellar Cyber and Cato Networks Join Forces to Advance AI‑Driven SecOps for MSSPs and Enterprise Security Teams

Key Takeaways

  • New integration connects Cato’s SASE telemetry with Stellar Cyber’s AI-native SecOps platform for faster threat detection and response
  • Collaboration targets MSSPs and lean security teams needing unified operations without legacy SIEM complexity
  • Joint customers gain consolidated visibility from edge to cloud, automated workflows, and stronger Zero Trust execution
  • Partnership reinforces market momentum around converged networking and security architectures

Stellar Cyber and Cato Networks have announced a strategic integration that directly addresses one of the most persistent challenges in modern cybersecurity: the fragmentation of tools, data, and operational workflows across enterprise and MSSP environments. By aligning the Cato SASE Platform with Stellar Cyber’s AI-native SecOps platform, the two companies aim to offer a unified security operations experience designed to reduce complexity, accelerate investigations, and improve defensive outcomes without adding staffing or tool overhead.

Both vendors have built their reputations on simplifying historically complex domains. Cato pioneered the single-vendor SASE model, bringing together SD-WAN, a private global backbone, cloud-native security services, and Zero Trust policy enforcement into one architecture. Stellar Cyber has taken a similar approach within the SOC, consolidating SIEM, NDR, OT visibility, ITDR, UEBA, and response automation into a single workflow. The integration of telemetry from Cato’s network and security stack into Stellar Cyber’s analytics engine is a natural extension of these philosophies, making it easier for defenders to see, contextualize, and act on threats anywhere from user devices to cloud workloads.

For many organizations, especially MSSPs, the move toward unified SecOps is no longer optional. Staffing shortages, alert fatigue, and the growing complexity of hybrid networks are straining operational resilience. Stellar Cyber’s metrics, including significant reductions in false positives and improvements in analyst productivity, reflect a broader industry trend toward platforms that apply AI to cut through noise and guide analysts to high-risk events more quickly. As adversaries automate and accelerate their own tactics, combining telemetry with real-time analysis and guided response has become essential.

The integration offers several practical advantages. With Cato’s continuous stream of SASE telemetry feeding directly into Stellar Cyber, SOC analysts gain immediate context around identity, application, network behavior, and threat indicators across distributed environments. This consolidated data improves the performance of AI-driven analytics while removing the need for manual enrichment or stitching together logs from disparate systems. It also shortens the time required to investigate and respond to lateral movement, credential misuse, or suspicious behavior that may otherwise go undetected when tools operate in isolation.

The partnership also reflects broader market validation for converged architectures. Analysts have consistently highlighted the importance of integrating networking and security, including in recent evaluations such as Gartner’s research on SASE and SSE leadership, which has recognized Cato for its execution and strategy. Embedding this converged data into an AI-native SecOps platform extends that value into day-to-day operations, reinforcing why the momentum behind unified approaches continues to grow.

MSSPs stand to benefit significantly from the new collaboration. Multi-tenant design, automation capabilities, and a consolidated toolset allow providers to standardize service delivery and reduce operational overhead. Many MSP and MSSP businesses struggle with custom integrations, inconsistent customer environments, and resource-intensive onboarding. By combining a single-vendor SASE platform with a unified SecOps layer, providers can scale more predictably and focus on value-added services instead of maintaining complex toolchains. The platform alignment also supports service differentiation in a crowded MSSP market, where rapid detection, strong visibility, and efficient triage are competitive necessities.

The integration is particularly relevant as organizations strengthen their Zero Trust strategies. Zero Trust models rely on high-quality, identity-centric telemetry combined with visibility into applications, networks, and user behavior. By merging Cato’s enforcement and data from the network edge with Stellar Cyber’s detection and response capabilities, security teams can more effectively detect anomalies associated with credential abuse, unauthorized access attempts, or movement across segmented environments. For enterprises pursuing a mature Zero Trust architecture, this unified signal chain offers more reliable detection and faster validation of suspicious activity.

Beyond the immediate operational benefits, the collaboration reflects how AI is reshaping the cybersecurity technology stack. AI-driven triage, anomaly detection, and guided response tools are helping SOCs manage the sheer volume and velocity of modern threats. At the same time, networking platforms like Cato’s are increasingly instrumented with AI-ready data that can be analyzed in near real time. As industry research from sources such as Gartner emphasizes ongoing convergence across security disciplines, the alignment of cloud-delivered networking and AI-native SecOps represents a logical next step. The increasing dependence on distributed workforces, cloud migration, and SaaS adoption further underscores the importance of an integrated approach.

The new joint offering is generally available to partners and customers, reflecting its readiness for production environments rather than a conceptual roadmap. For security teams seeking a more streamlined and scalable approach to operations—and for MSSPs looking to optimize service delivery while expanding revenue opportunities—the integration signals a meaningful shift toward modernized, AI-enhanced, and converged cybersecurity architectures.