Mave secures $34M to unify enterprise security tools with AI agents

Israeli cybersecurity startup Mave Security has raised $34 million in new funding to advance its platform, which uses AI agents to integrate an enterprise’s existing security tools into a single system. The funding reportedly includes a larger Series A round led by Red Dot Capital Partners and a smaller seed round with participation from Dell Technologies Capital and Emerge Ventures.

Mave’s approach targets a common challenge in security operations: the fragmentation of tools and data across enterprise environments. The company’s software is designed to interact with each security tool in its native format, compiling results into a unified view of an incident. This method avoids the need for a centralized security information and event management (SIEM) database—a model the company suggests has struggled to keep up with AI-driven threats. Security teams often lack access to critical context, such as configuration or identity details, which may remain scattered across different systems, forcing analysts to manually piece together evidence during an attack.

According to reports, the platform is built to process alerts quickly, filtering out false positives and identifying potential attack campaigns. Response actions are said to follow rules predefined by the security team. Mave’s customer base reportedly includes large enterprises and managed security service providers, with some providers using the platform to support multiple clients. The service is also said to be deployed in regulated sectors.

The company claims its software has helped mitigate live attacks by isolating systems and disabling compromised identities before breaches occurred. Revenue growth has been significant, with reports indicating a substantial increase in annual recurring revenue over the past year and the ability to close high-value deals.

Mave was founded by Raziel Oren and Guy Eshel, who previously worked together in Israel’s Unit 8200. The founders frame their work as part of a larger shift toward AI-driven security, arguing that security operations remain reactive, with teams often investigating threats tool by tool. Attackers, they note, face no such limitations.

Atad Peled, a partner at Red Dot Capital Partners, described the investment as a response to what he sees as a fundamental issue with existing security platforms: coverage is often treated as a budget constraint rather than a security priority. He suggested that neither traditional platforms nor newer alternatives were designed for an environment increasingly shaped by AI agents. The funding is expected to support the company’s AI research, product development, and expansion efforts. Mave reportedly plans to significantly expand its team, prioritizing roles in sales and AI research.

The startup’s focus aligns with a growing trend in cybersecurity, where AI agents are seen as both a risk and a potential solution. Recent coverage has highlighted the security challenges posed by AI agents, which can operate across applications and delegate tasks faster than human teams. Other companies, such as Ultra Security and Anaconda, are also developing tools to address these risks or manage AI agent workflows. Island’s recent $400 million funding round further signals investor interest in this space.

Mave’s strategy differs from some competitors by emphasizing integration with existing tools rather than replacing them. This could appeal to enterprises reluctant to overhaul legacy systems or centralize data in a new SIEM. However, the approach also raises questions about scalability and performance, particularly as the platform interacts with multiple tools in real time. While the company’s reported revenue growth and deal sizes suggest early traction, its long-term viability may depend on how well it can handle the complexity of enterprise security environments without creating new bottlenecks.

The next phase will likely focus on Mave’s expansion into new markets and its ability to attract talent. As AI-driven attacks grow more sophisticated, demand for platforms that can keep pace may increase. Whether Mave can sustain its momentum while scaling its team and product will test its vision of making AI a more reliable part of enterprise security.

Sources: siliconangle.com