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.

Revenue

Founded

1984

Headcount

42

Headquarters

United States

Primary Segment

Computer and Network Security

Ownership

Privately Owned

News Summary:

On June 17, 2026, Zvelo highlighted how intelligence informs Agent Control Plane (ACP) decision-making, asserting that its effectiveness depends on more than policy boundaries and enforcement rules. Previously, on June 2, the company explored understanding the ACP, noting that existing operational and security models are not structured to manage autonomous systems operating across distributed environments, and that extending current monitoring or retrofitting identity frameworks only addresses symptoms. Earlier, on May 27, Zvelo detailed the security risks of Agent-to-Agent (A2A) communication, which operates largely outside the visibility of current security platforms in agentic AI environments, creating high-risk conditions. This followed its May 19 analysis of the widening governance gap in agentic AI, observing the rapid deployment of autonomous systems across industries with limited human involvement. On May 12, Zvelo had also discussed three early signals emerging around agentic AI governance, driven by accelerating interest in increasingly autonomous systems beyond AI assistants and copilots.

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