Cyber startup Mave raises $28 million Series A to automate threat investigations
The funding, led by Red Dot Capital Partners, brings Mave’s total funding to $34 million. The company is developing AI that investigates alerts across existing security tools without requiring organizations to centralize their data.
Cybersecurity startup Mave has raised $34 million in total funding, including a $28 million Series A round led by Red Dot Capital Partners and a $6 million Seed round led by Dell Technologies Capital and Emerge Ventures. Lumir Growth Partners also participated in the Series A. The company plans to use the new capital to accelerate its AI research, strengthen its enterprise products and expand internationally.
Founded in 2025 by CEO Raziel Oren and CTO Guy Eshel, both veterans of Israel’s Unit 8200 intelligence unit, Mave is developing an AI-driven platform designed to automate security investigations across the many tools used by large organizations. Oren previously led go-to-market operations at Wing Security, while Eshel was the first employee at Alterya, where he later served as vice president of R&D before the company was acquired by Chainalysis.
Mave says it is already working with Fortune 50 companies and global managed security service providers, helping protect hundreds of customers. According to the company, its platform is also used in regulated financial and healthcare environments and has helped contain live attacks by isolating systems, disabling compromised identities and blocking malicious activity before it led to breaches. Mave says it is closing deals worth seven figures and that its annual recurring revenue has grown by more than 400% over the past six months.
The company plans to more than double its team following the funding round, with hiring focused on go-to-market operations and AI research. Its Israeli development center will remain a central part of its expansion.
In a conversation with Calcalist, Oren said the company was founded to address gaps in security management by using AI to investigate cyber incidents more quickly and efficiently than human analysts working across multiple systems.
“If you don't do a good job in security management, a vulnerability emerges. We wanted to provide a comprehensive solution for this space, powered by new technology that can be faster, more accurate and more cost-effective than human operators,” Oren said. “When we set out, our goal was to fundamentally solve the problem.”
Oren argued that simply building a product on top of an existing AI model is not enough to stand out in a crowded market. “Anyone can build on top of a model, but every company has its own tricks up its sleeve. It’s not just about using existing models, but about employing models that are often more precise. When deploying a solution, you don't have to rely solely on an LLM. You can identify the exact, optimal solution,” he said.
“While the criteria for success in this field remain unchanged, there is a great deal of noise in the market, and that is where we must demonstrate a significant technological edge. Our current success isn't due to a slick marketing machine, but rather a substantial technological advantage,” Oren added.
The funding will also allow Mave to invest more heavily in sales and marketing, alongside engineering, as it seeks to maintain its technological lead. Oren said he wants the company to grow without sacrificing financial discipline.
“One of the major shortcomings in the cybersecurity industry is the failure to develop a new platform capable of generating high margins and substantial revenue. I intend to raise our next major funding round while maintaining a healthy company, with strong revenue run rates and solid margins,” he said.
“Building a truly successful business in cybersecurity is no simple feat; it is by no means a given. The market is undergoing profound, tectonic shifts, creating a significant vacuum that is waiting to be filled. My goal is to create an excellent product that sells itself.”
The problem Mave is targeting is the fragmentation of corporate security systems. Large organizations often operate dozens of cybersecurity tools, but when an incident occurs, the information needed to understand the attack is scattered across different platforms. Security teams must move between systems, gather evidence and manually reconstruct what happened, often while an attacker remains active.
Security information and event management (SIEM) systems, which have long served as centralized platforms for collecting security data, can provide only a partial picture. Important context, including system configurations, user identities, system ownership and real-time activity, often resides in other tools. The challenge is no longer simply collecting more data, but giving security teams a complete and current view of their environment quickly enough to respond to increasingly fast-moving attacks.
Mave connects directly to the security tools an organization already uses, without requiring the transfer of security data into a new repository. Its platform is designed to query each tool through its native interface, reconcile the results and assemble a unified account of an incident. The company says the system investigates every alert within minutes, filters out false positives, identifies relevant active campaigns and can carry out approved response actions under rules established by the security team.
The platform continuously retrieves live information as an investigation unfolds, rather than relying exclusively on data collected in advance. Mave says its technology combines purpose-built workflows, fine-tuned small language models and larger, more advanced language models to handle routine tasks and more complex reasoning. It also records queries, decisions and actions to provide a traceable record of how an investigation was conducted.
“Security teams still investigate threats one tool at a time, manually piecing together evidence before they can reach a verdict. Attackers do not wait. Every pivot adds delay, and every delay creates risk,” Oren said in the company’s funding announcement. “Mave is built to reduce risk by giving security teams AI that can keep pace with attackers, show its work, and know when human judgment is required.”
