NetSTAR and Varist Partner to Strengthen Cybersecurity Against AI-Driven Threats

NetSTAR Global, Inc., a provider of OEM web categorization, IP reputation, and threat intelligence solutions, and Varist, a company focused on AI-based malware detection, announced a strategic partnership aimed at enhancing cybersecurity defenses in response to the growth of generative AI–driven threats.

As part of the collaboration, the companies will share intelligence data to strengthen their respective platforms. The integration combines NetSTAR’s internet telemetry and real-time URL, IP, and web application intelligence with Varist’s packet and file-based malware detection technologies. The goal is to improve threat visibility and detection accuracy for security vendors and OEM partners worldwide.

Addressing AI-Driven Threats

Generative AI has increased the speed and complexity of malware, phishing campaigns, and evasive attack techniques. As these tools enable attackers to scale their operations, security providers face a need for more comprehensive and context-rich intelligence.

NetSTAR reports visibility into internet traffic across more than 1.8 billion endpoints and has categorized over 48 billion URLs, domains, and IP addresses across more than 200 categories. Its data is integrated into products and services used by over 275 OEM partners globally, supporting applications such as web filtering, DNS security, email protection, endpoint security, firewall management, compliance, and brand safety.

Varist’s Hybrid Detection Engine™ is designed to protect more than five billion mailboxes through malware detection that combines heuristics with real-time behavioral analysis. The system identifies both known and previously unknown threats at the packet and file levels.

Through the partnership, the companies plan to align content intelligence, reputation scoring, web application metadata, and behavioral detection to provide a more unified view of emerging threats.

Expanding Security Capabilities

The collaboration is intended to improve correlation of threat data across URLs, IP addresses, domains, web applications, packets, and files. By combining large-scale telemetry with behavioral analysis, the companies aim to enhance detection of AI-generated threats, reduce false positives, and improve protection in encrypted environments.

The partnership will focus on OEM integration. The combined intelligence will be made available through SDKs, cloud APIs, hybrid deployments, and real-time data feeds, enabling security vendors, carriers, and service providers to incorporate these capabilities into their own platforms.

Source: NetSTAR Global, Inc.

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