Startup Fundraising•

Mave Raises $34M for AI Cyber Defense Platform

Mave secures $34M Series A led by Red Dot Capital Partners to advance AI agents for enterprise cyberattack detection and response, integrating existing security tools.

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Alvaro de la Maza

Partner at Aninver

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Key Takeaways

  • Mave raised $34.0M (Series A) from Dell Technologies Capital, Emerge Ventures.
  • Sector: Technology, Software & Gaming, Artificial Intelligence (AI).

Analysis

In a significant development for enterprise cybersecurity, Tel Aviv-based startup Mave has successfully closed a $34 million funding round. This capital infusion is earmarked for the advancement of its artificial intelligence agents, designed to proactively detect and neutralize cyber threats at speeds that outpace traditional security measures. The funding comprises a $28 million Series A led by Red Dot Capital Partners, with crucial participation from Lumir Growth Partners. This follows an earlier $6 million seed round supported by Dell Technologies Capital and Emerge Ventures.

The cybersecurity sector is experiencing an unprecedented acceleration in attack vectors, with AI-driven techniques enabling malicious actors to compromise systems in minutes rather than hours or days. This rapid escalation poses a substantial challenge to existing security frameworks, which often struggle with fragmented data and slow response times. U.S. businesses alone are estimated to incur $30 billion annually from security breaches stemming from these critical gaps in visibility and control. Mave aims to directly address this escalating risk.

Founded in 2025 by cybersecurity veterans Oren and Guy Eshel, both alumni of Israel's elite Unit 8200 intelligence division, Mave is pioneering a new paradigm. Instead of demanding that organizations overhaul their existing security infrastructure, Mave integrates disparate security tools into a unified, AI-driven defense ecosystem. Its platform intelligently investigates security alerts in near real-time, effectively filtering out false positives and pinpointing genuine threats. Crucially, it can then execute pre-approved response actions based on policies defined by security teams, thereby significantly reducing the window of vulnerability.

The company's approach diverges from conventional Security Information and Event Management (SIEM) systems, which often rely on centralized log collection. Mave posits that such logs alone are insufficient to provide a comprehensive understanding of a dynamic attack. By deploying AI agents that query existing security systems directly, Mave reconstructs attack narratives across an organization's infrastructure, incorporating vital context such as user identities, system configurations, and application ownership. This allows for a more complete and actionable threat assessment.

Mave's AI agents are engineered to not only detect but also to actively stop attacks. The platform combines specialized workflows, tailored AI models, and large language models to orchestrate investigations across an organization's existing security stack. Every action taken by the agents is meticulously logged, providing security analysts with full transparency into the decision-making process and enabling human oversight when necessary. The company reports that its technology has already been instrumental in helping clients contain live attacks by isolating compromised systems and disabling malicious activity.

The rapid growth trajectory of Mave is underscored by a reported 400% increase in annual recurring revenue over the past year, with some enterprise contracts reaching seven figures. The company, currently employing 20 individuals, plans to more than double its workforce to fuel AI research, product development, and international expansion. This strategic investment positions Mave to capture a significant share of the rapidly evolving cybersecurity market, estimated to reach hundreds of billions of dollars globally.