Mave launches with $34 million for AI agents that run security triage

Mave, a Tel Aviv start-up founded in 2025 by two former officers of Israel's Unit 8200 intelligence corps, came out of stealth on October 22, 2026, with $34 million in total funding to build AI agents that handle the routine work of company security teams. The money comes from two rounds disclosed together: a $28 million Series A led by Red Dot Capital Partners, with Lumir Growth Partners joining, and an earlier $6 million seed round led by Dell Technologies Capital and Emerge Ventures, both of which also invested in the Series A. The company says its system is already running in more than 200 security operations centres.

Every large organisation that takes cyber-security seriously runs a security operations centre, or SOC: a team that watches alerts from dozens of tools, from firewalls and email filters to cloud logs, and decides which ones signal a real attack. The problem is volume. Most alerts turn out to be harmless, but each has to be checked, and analysts spend much of their day jumping between tools that each speak their own query language. Fatigue and missed warnings follow.

Mave is one of a wave of start-ups trying to hand that first round of checking to AI agents, software that can carry out a sequence of steps on its own rather than answer one question. In Mave's description, the agent goes to each tool, asks for the relevant records in that tool's own language, puts the answers together into a single picture of what happened and tells the human analyst whether it looks real. Keeping a person in charge of any action, such as blocking a user or isolating a laptop, is meant to address the obvious fear of an AI system making a damaging mistake on its own. These are the company's claims; independent evidence of how accurately such systems sort real attacks from noise is still limited.

The founders' background is part of the pitch: both served in Unit 8200, the Israeli military's intelligence corps, and investors in security start-ups look closely at that kind of hands-on experience. Dell Technologies Capital's backing from the seed stage also suggests interest from large technology vendors in AI that can sit on top of the security tools companies already own.

For India, the issue is practical. Indian banks, government bodies and IT services firms run security operations centres, for themselves and, in the case of IT services companies, for clients abroad. Tools that cut routine triage could change how those teams are staffed and what skills analysts need: less manual searching, more judgement about what the machine flags.

Short-term: Mave will use the money to expand its product and sales, competing for customers who are trying AI tools in their SOCs for the first time.

Long-term: If AI agents prove reliable at triage, security teams may shrink their manual alert-checking work and shift analysts towards investigation and response; if they prove error-prone, regulators and auditors are likely to demand stricter human controls.

Who is affected: Security analysts and SOC managers, companies buying cyber-security tools, rival AI security start-ups, and IT services firms that run security operations for clients.

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