A newly launched enterprise security startup named Mave has successfully secured thirty-four million dollars in combined seed and Series A funding to develop autonomous security operations software. The company, which operates out of Tel Aviv and currently maintains a workforce of approximately thirty employees, was established by former military intelligence officers Guy Eshel and Raziel Oren. The recent capital injection includes a twenty-eight-million-dollar Series A round led by Red Dot Capital Partners alongside Lumir Growth Partners, building upon an initial six-million-dollar seed investment backed by Dell Technologies Capital and Emerge Ventures.
Accelerating Frontier Artificial Intelligence Research
The newly acquired financial backing will primarily support frontier research into artificial intelligence, expand product lines tailored for large enterprises, and broaden the organization’s international footprint. Management plans to increase headcount significantly, targeting professionals specializing in go-to-market strategies and artificial intelligence research. The founding team recognized a critical bottleneck in modern enterprise defense systems: while organizations generate vast quantities of valuable telemetry data from internal technology deployments, security teams remain overwhelmed by disparate tools and alerts.
Addressing Automated Threat Vectors
Modern malicious actors increasingly leverage automated technologies to accelerate the execution lifecycle of digital attacks, easily outpacing traditional security information and event management platforms. Traditional software architectures can successfully detect anomalous events, but they frequently fail to synthesize and present information quickly enough for human analysts to intervene effectively. Investigators often waste valuable minutes or hours manually piecing together evidence across multiple disjointed dashboards while automated attacks proceed unchecked.
Deploying Agentic Defense Systems
To bridge this operational gap, Mave has developed an agentic defense platform that utilizes fine-tuned small language models and frontier large language models to aggregate live context from existing technology stacks. Rather than forcing analysts to manually query multiple systems, autonomous agents generate contextual reasoning and step-by-step investigations in near real time. Leadership emphasizes that the system operates under strict governance models, incorporating least-privileged integrations, mandatory approval gates for critical actions, and comprehensive audit trails to ensure human oversight remains central to the security lifecycle.
- Securing thirty-four million dollars in total funding to scale enterprise security operations.
- Employing autonomous software agents to analyze telemetry data and accelerate threat detection.
- Balancing automated investigations with strict human governance and audit controls.