Zvelo is a Privately Owned company headquartered in the US. Founded in 1984, Zvelo operates with approximately 50 employees and reported $4.7M in revenue as of 2023. The company specializes in threat intelligence, generating and distributing advanced domain and URL intelligence data feeds to enhance security and safety applications. It leverages proprietary AI-based web classification and threat detection technologies to analyze traffic from over one billion endpoints, enriching this data with external sources to provide high accuracy and coverage. Its core products include the zveloDB™ URL Database for precise, real-time categorization used in web filtering and brand safety, SaaS App Intelligence for data leakage prevention, and specialized Phishing Intelligence feeds. Zvelo sells these intelligence solutions to OEMs, MSSPs, and security vendors worldwide who build products such as SASE, XDR, and ZTNA solutions.
On April 2, 2026, Zvelo highlighted that AI-enabled SaaS applications now introduce reasoning layers and initiate automated actions, interacting across connected systems in ways that make functional category an insufficient basis for security enforcement decisions, moving beyond the signal assumptions of most security platforms. This follows the company's March 18 observation that the security intelligence supply chain must expand to surface capability-aware SaaS and AI application signals for downstream enforcement engines to interpret behavior and apply policy as SaaS platforms integrate AI-driven capabilities. Earlier, on March 4, Zvelo noted that AI-integrated SaaS applications are pushing security vendors beyond category-based app classification towards AI application risk intelligence, as primary function classification no longer reflects how these applications ingest data, reason, and act across integrated systems. Previously, on February 17, Zvelo stated that AI model drift is inevitable in modern security environments, leading to degraded classifications and weaker risk signals when unmanaged, as AI systems lose accuracy over time due to evolving data and threat behaviors. The company also pointed out on February 5 that the adoption of agentic AI within SaaS applications exposes a fundamental weakness in modern security models, as these AI agents inherit trust inside applications without independent evaluation.
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