Mave, which is developing an AI-driven tool to automate security investigations, raised a $28M Series A led by Red Dot, bringing its total funding to $34M

Automated security investigation tools are now powered by AI that can keep pace with attackers and show its work.

Cybersecurity startup Mave has secured $34 million in total funding, including a $28 million Series A led by Red Dot Capital Partners, with participation from Lumir Growth Partners. The company had previously raised $6 million in a Seed round led by Dell Technologies Capital and Emerge Ventures. Founded in 2025 by former Unit 8200 veterans Raziel Oren and Guy Eshel, Mave develops an AI-driven platform designed to automate security investigations across the disparate tools used by large enterprises. The new capital will be used to accelerate AI research, enhance enterprise products, and fund international expansion. Mave claims to already serve Fortune 50 companies and managed security service providers, with its platform assisting in containing live attacks. The company reports over 400% annual recurring revenue growth in the past six months and aims to more than double its team, focusing on go-to-market operations and AI research.

Mave's approach to automating security investigations addresses a critical market need for faster, more efficient threat response in the face of fragmented security tool landscapes. By directly querying existing security tools rather than requiring data migration, Mave offers a more integrated and less disruptive solution. This strategy leverages proprietary workflows and fine-tuned language models to provide a comprehensive view of incidents, which is crucial as attack speeds increase and traditional SIEM systems fall short. The company's focus on AI that can accelerate investigations and execute approved response actions signifies a maturing market for AI in cybersecurity operations.

The significant funding round underscores investor confidence in AI's role in solving complex cybersecurity challenges and highlights Mave's traction with major enterprises. Their reported revenue growth and customer base suggest that AI-driven automation is moving beyond theoretical applications to deliver tangible business value. Mave's emphasis on a 'technological edge' over marketing suggests a competitive landscape where deep R&D in AI model application and workflow optimization is becoming a key differentiator for startups aiming to capture market share and achieve profitability in a challenging sector.