Mave raises $34M to help enterprises detect and stop cyberattacks using AI agents

AI is changing the speed of cyberattacks. Techniques that once took hours or days can now unfold in minutes, leaving security teams scrambling to identify threats before attackers cause serious damage. U.S. businesses lose an estimated $30 billion annually to security breaches linked to gaps in visibility and security controls.

That’s the problem Mave, a Tel Aviv-based cybersecurity startup, is tackling with fresh funding. Today, the company announced it has raised $34 million to build AI agents that help enterprises investigate and stop cyberattacks before they escalate.

Rather than forcing companies to replace their existing security systems, Mave connects their fragmented security tools into a single AI-driven defense system. The platform investigates security alerts within minutes, filters out false positives, identifies active threats, and executes approved response actions under rules set by security teams.

The funding includes a $28 million Series A round led by Red Dot Capital Partners, with participation from Lumir Growth Partners, and a previously raised $6 million seed round backed by Dell Technologies Capital and Emerge Ventures.

Founded in 2025 by Oren and Guy Eshel, both veterans of Israel’s Unit 8200 intelligence division, Mave is betting that the next major shift in cybersecurity won’t come from collecting more security data, but from using AI agents to make sense of information companies already have.

Oren previously led go-to-market operations at Wing Security. Eshel was Alterya’s first employee and later vice president of research and development, and Chainalysis acquired Alterya.

Enterprise security teams typically rely on dozens of disconnected tools to monitor networks, track suspicious activity, and investigate potential breaches. Each system provides part of the picture, leaving analysts to piece together evidence across multiple platforms before deciding whether an alert represents a genuine threat.

That process can take hours. Attackers using AI-assisted techniques can move through systems in minutes.

Mave wants to close that gap.

Rather than forcing companies to move their security data into another centralized platform, Mave connects directly to their existing tools. Its AI agents query those systems, gather information about suspicious activity, and reconstruct what happened across the company’s infrastructure.

The startup claims its platform can investigate 100% of security alerts within minutes, filter out false positives, identify active attack campaigns, and execute approved response actions. Security teams retain control over which actions the agents can perform.

The approach challenges the traditional security information and event management (SIEM) model, which relies heavily on collecting and analyzing security logs in a central location.

Mave argues that logs alone cannot provide the full picture of a developing attack. Critical information about user identities, system configurations, application ownership, and current infrastructure conditions often sits outside those databases.

AI agents move from detecting threats to stopping attacks

Mave’s platform combines specialized workflows, smaller AI models, and large language models to investigate incidents across existing security systems. Every query, decision, and action is recorded, giving analysts a way to review how the system reached its conclusions.

The company says its agents have already helped customers contain live attacks by isolating compromised systems, disabling stolen credentials, and blocking malicious activity.

“Security teams still investigate threats one tool at a time, manually piecing together evidence before they can reach a verdict. Attackers do not wait. Every pivot adds delay, and every delay creates risk,” said Raziel Oren, Mave’s co-founder and CEO.

The company reports that Fortune 50 enterprises and global managed security service providers (MSSPs) are using its technology. Its customers include organizations in heavily regulated industries such as finance and healthcare.

Mave says its annual recurring revenue has grown more than 400% over the past year, with some enterprise contracts reaching seven figures. The company has not disclosed its total revenue, customer count, or valuation.

Mave currently employs 20 people and plans to more than double its workforce following the funding round. The new capital will support AI research, product development, international expansion, and hiring.

Its platform is now generally available.

The larger question is whether enterprises will trust AI agents to take a more active role in cybersecurity. Automated investigations could significantly reduce the workload facing security teams, but allowing software to disable accounts or isolate systems introduces risks of its own.

Mave bets that human oversight, transparent decision-making, and clearly defined permissions can make that trade-off worthwhile.

As attackers increasingly use AI to accelerate cyberattacks, the race is shifting from simply detecting suspicious activity to stopping threats before they become breaches.