Mave raises $28 million in Series A for AI-driven security investigation automation

Funding details and investors

Mave has secured $28 million in a Series A funding round led by Red Dot Capital Partners. The round also saw participation from Lumir Growth Partners, along with existing investors Dell Technologies Capital and Emerge Ventures. This brings the company’s total funding to $34 million, including its seed round.

The funds will be used to advance AI research, enhance enterprise-focused security products, and accelerate global expansion. Mave’s platform is designed to automate security investigations by integrating with existing enterprise security tools.

Market traction and growth

Mave’s platform is already operational in over 200 Security Operations Centers (SOCs) worldwide. The company has secured contracts with Fortune 50 enterprises and global Managed Security Service Providers (MSSPs), including those in highly regulated sectors like finance and healthcare.

The startup’s Annual Recurring Revenue (ARR) has grown by over 400% in the past year, reflecting strong demand for its AI-driven security automation solutions. Mave has also secured seven-figure contracts, indicating scaling adoption among large enterprises.

How Mave’s platform works

Mave’s platform operates as an AI agent system that integrates with existing security tools to automate detection, investigation, and response. Unlike traditional Security Information and Event Management (SIEM) systems, Mave does not require data to be centralized in a new database.

When an alert is triggered, Mave queries connected security tools in their respective languages, cross-references the results, and consolidates the incident timeline into a single narrative. The platform investigates all alerts within minutes, filters out false positives, and identifies ongoing attack campaigns.

For response actions, security teams can set rules to determine which actions are executed automatically and which require human approval. Mave has demonstrated its ability to assist in containment efforts, such as isolating systems and disabling compromised accounts.

Founders and team background

Mave was founded by Raziel Oren and Guy Eshel, both alumni of the Israel Defense Forces’ Unit 8200, a elite intelligence unit known for producing founders of successful cybersecurity startups. The company was launched last year and has since rapidly expanded its market presence.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

Mave’s Series A funding and rapid growth signal strong market validation for AI-driven security automation, particularly in enterprise environments. The company’s ability to integrate with existing security tools without requiring data centralization is a key differentiator, addressing a common pain point for enterprises managing complex security infrastructures.

For founders and operators in the cybersecurity space, Mave’s traction—especially among Fortune 50 companies and MSSPs—highlights the demand for solutions that reduce manual effort in security investigations. The 400% ARR growth also underscores the urgency enterprises feel to adopt AI-powered tools to keep pace with evolving threats.

The involvement of Red Dot Capital Partners and Dell Technologies Capital, investors with a track record in enterprise software, may encourage other startups in the space to explore similar partnerships. Mave’s focus on regulated industries like finance and healthcare also suggests a blueprint for navigating compliance-driven markets.

Key takeaways

• Mave’s $28 million Series A and $34 million total funding reflect growing investor confidence in AI-driven security automation for enterprises.
• The platform’s integration with existing security tools and avoidance of data centralization could set a new standard for enterprise security solutions.
• 400% ARR growth and adoption by Fortune 50 companies signal strong market demand for automated security investigation tools.
• Founders’ background in Unit 8200 reinforces the credibility of Mave’s technical approach, particularly for enterprise and regulated industry customers.

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