NetSTAR Global Inc. has unveiled inCompass 4.0, marking a significant architectural upgrade to its long-established URL categorization and web filtering SDK. With this release, the company shifts from a traditional monolithic engine to a scalable, service-oriented categorization platform built for modern cybersecurity and AI-driven environments. As cyber threats evolve and network infrastructures become more distributed, this transformation enables OEM partners and telecom providers to deploy more flexible and resilient web intelligence solutions.

For more than 20 years, NetSTAR’s inCompass platform has powered high-accuracy URL categorization, IP reputation scoring, encrypted traffic intelligence, and domain classification for global OEM partners. However, version 4.0 represents the most substantial redesign in the platform’s history. Instead of simply upgrading performance, NetSTAR has fundamentally reengineered the system to support container-native, cloud-first deployments and distributed architectures.

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Daniel Ashby, Chief Operating Officer at NetSTAR Global, stated “with inCompass 4.0, NetSTAR is transforming our trusted categorization engine into a scalable, service-oriented categorization platform designed to power modern Artificial Intelligence (A.I.), DNS filtering, Secure Web Gateway (SWG), firewall, CASB, endpoint security, SD-WAN, and network security solutions through our global OEM and Telco partners.” He continued by sharing “we are excited about the wide range of deployment options that this provides to our Partners and their customers. We are already aware of several new solutions that our OEM and Telco Partners will be bringing to market, utilizing the new NetSTAR inCompass 4.0 solution, and it’s very exciting.”

Unlike previous versions, inCompass 4.0 introduces a service-oriented architecture that separates categorization services from database operations. As a result, organizations can independently scale workloads, isolate faults more effectively, and achieve horizontal scalability across distributed environments. Furthermore, the new design supports container-native deployment through Docker, Kubernetes, and K3s, making it easier for vendors to integrate the platform into modern DevOps workflows.

Additionally, the platform now supports gRPC and HTTP-based communication, allowing multiple products, telemetry pipelines, and AI decision engines to connect to a centralized categorization cluster. This design significantly enhances flexibility, particularly for security vendors operating cloud web filtering systems, DNS security platforms, Secure Web Gateways, CASB environments, firewalls, and SD-WAN infrastructures. Instead of maintaining local database copies, partners can leverage a centralized intelligence backbone that improves efficiency and reduces operational overhead.

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Performance improvements also stand out in this release. By separating read-heavy categorization requests from write-heavy database updates, inCompass 4.0 ensures that traffic spikes do not disrupt system updates. Consequently, high-volume environments such as ISPs, mobile operators, MSSPs, enterprise firewall vendors, and endpoint security providers can maintain consistent performance even during peak activity. This architecture also strengthens phishing detection, malware URL intelligence, and large-scale DNS filtering deployments.

Importantly, NetSTAR has maintained full backward compatibility. Existing embedded deployments and hybrid configurations continue to function seamlessly, allowing partners to upgrade at their own pace while gradually adopting new cloud-native capabilities.

With over 48 billion URLs and domains categorized and telemetry insights from more than 1.8 billion endpoints, NetSTAR continues to provide high-accuracy URL categorization, real-time reputation scoring, encrypted traffic intelligence, SaaS application identification, and AI-powered web content classification. Ultimately, inCompass 4.0 establishes a strong architectural foundation for future innovations in AI-assisted threat detection, centralized signal enrichment, and scalable web intelligence services across global security ecosystems.

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