Israeli cybersecurity startup Mave has emerged from stealth with $34 million in funding to build an agentic security operations platform aimed at automating how enterprises investigate and respond to threats. The company, founded in 2025 by former Unit 8200 officers Raziel Oren and Guy Eshel, announced the financing on Oct. 22. Mave said the total comprises a $28 million Series A led by Red Dot Capital Partners, with participation from Lumir Growth Partners, and a previously raised $6 million seed round led by Dell Technologies Capital and Emerge Ventures.
Tel Aviv-based Mave is developing AI agents that operate across an organization’s existing security stack rather than requiring customers to replace their security information and event management, endpoint, cloud or identity tools. The company says its system correlates evidence from those products, investigates alerts, filters false positives and recommends or carries out actions approved by human security teams.
The financing arrives as security teams contend with growing alert volumes and a shortage of experienced analysts. Mave’s pitch is that autonomous agents can handle the repetitive work of collecting context and tracing activity across disconnected tools, allowing analysts to focus on high-impact incidents. The company has not publicly identified a specific vulnerability, malware campaign or threat actor associated with the product’s launch.
That distinction matters for defenders evaluating the announcement: Mave’s release is a product and investment disclosure, not a security advisory. There is no CVE, affected software version, CVSS score, public proof of concept or exploitation-in-the-wild report to investigate from the information available. Organizations therefore should not treat the funding announcement as evidence of a newly disclosed threat or as a reason to change patching priorities.
The operational risk instead centers on how much authority customers grant an AI system inside their security environment. Connecting an agent to detection and response tools can speed containment, but erroneous conclusions, incomplete telemetry or compromised integrations could also amplify mistakes. Enterprises assessing Mave or similar products should validate data access controls, auditability, approval gates, model behavior and rollback procedures before allowing automated changes to endpoints, identities or network controls.
Mave said the new capital will support product development, artificial-intelligence research, international expansion and hiring. The company’s funding announcement follows a broader wave of investment in AI-assisted security operations, but its claims about investigation and response remain capabilities to evaluate in customer environments rather than independently verified evidence of improved incident outcomes.
