Tel Aviv-based Mave was founded in 2025 by Unit 8200 alumni Guy Eshel (CTO) and Raziel Oren (CEO).
The funding announced on October 22, 2026 includes $6 million in seed funding (raised during the founding period) and a new $28 million Series A round led by Red Dot Capital Partners, with participation from Lumir Growth Partners. Dell Technologies Capital and Emerge Ventures, who led Mave’s $6 million round, also participated in the Series A round.
The funding will be used to accelerate Mave’s frontier AI research, strengthen the company’s enterprise product line and expand the company globally. Current staff levels are around 30, but this will increase with new hires focused on go-to-market and AI research roles.
stomach Employ AI to solve some of the problems created by AI. First of all, using hostile AI greatly increases the speed of attacks. At the same time, the use of internal AI will generate a large amount of useful data that can be used to counter attacks – if the security operations team can visualize, manage and act on the data with sufficient speed.
“Enterprise security teams are overwhelmed with large amounts of data and dozens of security tools, and still can’t respond quickly enough when real incidents occur,” Mave explains. Simply put, traditional SIEM defenses cannot keep up with the increasing speed of automated kill chains used by AI-assisted attackers. Current security stakes may see attacks but fail to present information to security teams in a useful and speedy manner. There is a simple motto: you need to use AI to counter the effects of AI.
“Security teams are still investigating threats one tool at a time, gathering evidence themselves before they can reach a verdict.
Mave’s solution is to use AI agents to create and automate SecOps with a single agent protection system. It pulls live context from existing security guards and works with fine-tuned SLMs and front-line LLMs to generate context-based reasoning for security teams in real-time.
“Mave is built to reduce risk, by giving AI security teams the ability to keep pace with attackers, demonstrate its functionality, and know when human judgment is needed,” Oren continued. “Security operations are where we start, but the goal is very ambitious – to make AI a responsible and accountable part of how modern enterprises protect themselves.”
For now, Mave does not aim for end-to-end automation. Technically, AI agents can complete recommended actions by analyzing their own data. Mave now stands with from now on. “Independence without control is a risk. The right model is management: links with fewer rights, approval portals when necessary, and a full audit trail of every action and decision.” This is what it offers now – but we are still in the early stages of agent AI development and evolution.
Mave’s Agent SecOps will certainly reduce notification fatigue among remaining security operations team members. It will also reduce the cost of staff overhead to the company, simply because many people will be replaced by agents. This is an automated march: more work with less human error – and with fewer positions available in the cyber security market.
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