Israeli cybersecurity startup Mave emerged from stealth on 22 October with $34 million in total funding for an agentic security-operations platform. The figure combines a new $28 million Series A led by Red Dot Capital Partners with an earlier $6 million seed round led by Dell Technologies Capital and Emerge Ventures.

The distinction matters: Mave did not announce a fresh $34 million round. It disclosed the two financings together as it launched publicly. Lumir Growth Partners joined the Series A, while Dell Technologies Capital and Emerge Ventures participated again. The company did not disclose a valuation or the size of each investor's commitment.

Mave says the capital will support AI research, enterprise-product development and international expansion. Its own announcement also says it plans to more than double a team that currently numbers more than 30 employees, with hiring focused on AI research and go-to-market roles.

What Mave is building

Mave is targeting a familiar problem in large security operations centres: analysts often need to reconstruct one incident across endpoint, identity, cloud, email and ticketing systems. Traditional security-information and event-management systems centralise many logs, but important context can remain in the original products or arrive too late for an active investigation.

Mave's proposed answer is an agentic layer that works across the tools an organisation already uses. According to the company, its agents query connected systems through their native interfaces, collect live context, compare evidence and return a verdict with a record of the steps taken. The platform can also recommend or execute response actions under rules set by the customer.

That governance layer is central to the pitch. Mave says integrations start with scoped, read-only access, while customers decide which actions may run automatically and which require human approval. The platform records queries, evidence, decisions and actions to create an audit trail. Those controls are particularly relevant in finance, healthcare and other regulated environments, where speed is useful only if a team can also explain what the system did.

The product does not require customers to move all security data into another central repository, according to Mave. That architecture could reduce deployment friction and data-ingestion costs, although buyers still need to evaluate integration coverage, permissions, reliability and the quality of the evidence produced in their own environments.

Security analysts review a dense agentic SecOps investigation workflow in a Tel Aviv office
AI editorial illustration based on an official Mave product-interface reference. It does not show Mave employees, its office or a real customer incident.

Traction claims need context

Mave says its software is already operating in more than 200 security operations centres and is used by Fortune 200 companies and managed security-service providers. It also says annual recurring revenue has grown by more than 400% over the past year and that it is closing seven-figure deals.

These figures come from the company and have not been independently audited in the sources reviewed for this report. They indicate the commercial case Mave is presenting to the market, but they do not reveal current revenue, customer concentration, contract duration or retention. The company also does not name every customer or provide a public benchmark for investigation quality.

What can be verified is the product's commercial availability, the disclosed financing structure and the investor group. Mave was founded in 2025 by chief executive Raziel Oren and chief technology officer Guy Eshel, both veterans of Israel's Unit 8200. Oren previously worked at Wing Security; Eshel was an early employee and later vice-president of research and development at Alterya before its acquisition by Chainalysis.

Why the round matters for Israeli cybersecurity

The funding arrives as Israeli cybersecurity startups increasingly compete on the operational layer around AI. Some products focus on protecting AI models and agents; Mave is applying agents to the work of security operations itself. The commercial test is therefore broader than whether an agent can summarise an alert. Buyers must decide whether the system can correlate evidence across a varied stack, respect permissions and produce a decision that a human analyst can defend.

For investors and potential customers, the next useful milestones will be repeatable deployments, independently supported operational outcomes and evidence that the platform can expand without creating a new layer of tool sprawl. The $28 million Series A gives Mave more capacity to pursue those milestones. The combined $34 million headline shows how much capital the company has disclosed since formation, not a guarantee that its technical or commercial claims will hold across every customer environment.

Sources

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