Mave comes out of stealth with $34 million to build the agentic SecOps system for the modern enterprise
Mave turns an enterprise’s existing security tools into one agentic defense system
Today, Mave comes out of stealth with $34 million in funding to fundamentally change how enterprises run security operations.
Mave turns an enterprise’s existing security tools into one agentic defense system. It brings together threat intelligence, hunting, investigations, detection engineering, and response, working directly across the systems and data the organization already has.
The funding includes a $28 million Series A led by Red Dot Capital Partners, with participation from Lumir Growth Partners, and a $6 million seed round led by Dell Technologies Capital and Emerge Ventures.
Mave is already running in more than 200 SOCs. With this funding, we’re expanding our AI research, strengthening the enterprise platform, and bringing Mave to more security teams around the world.
Why we built Mave
Our founders, Raziel Oren and Guy Eshel, have spent over a decade on the offensive and defensive sides of cybersecurity. They’ve known each other since their 8200 days, where they developed a shared conviction: security operations is the beating heart of defense.
It is where an organization’s investments in security have to come together. The tools, the data, the intelligence, and the people all need to produce an understanding of what is happening and the ability to act.
Over two decades, that environment has grown layer by layer. Each product contributes something valuable, but the work of connecting them still falls heavily on people.
An analyst reconstructs an incident across consoles. A detection engineer translates a threat into rules for several systems. A hunter searches for related activity across different data sources. Each needs context that lives somewhere else.
In the 2026 SANS SOC Survey, 24% of surveyed security leaders identified the lack of enterprise-wide visibility as their biggest barrier to effective security operations.
Collecting more data in one place only addresses part of that problem. Understanding an incident can also require current configurations, identity state, ownership, and activity that lives outside the SIEM.
AI gave us the opportunity to rethink how this work gets done.
“The AI revolution gave us the opportunity to solve its most painful problems at their root. That’s what we built Mave to do,” says Guy Eshel, co-founder of Mave.
One system for the work of SecOps
We started with a simple idea: a skilled security analyst with access to the right systems could connect the evidence and solve the problem, given enough time.
Mave applies that reasoning across security operations.
Its agents query connected systems in their native languages, gather live context, and adapt their work as evidence emerges. The starting point can be a security question, a new attack campaign, an investigation, or a gap in detection coverage.
When a new campaign emerges, for example, Mave can assess its relevance to the organization’s technologies, assets, and identities. It can hunt for related activity across connected systems, investigate what it finds, and help turn validated findings into detections or authorized responses.
Teams can also ask questions directly in plain language. Mave searches across the connected environment and brings the evidence together into an answer they can examine.
Investigation, hunting, detection engineering, and response inform one another. A hunt can uncover a detection gap. An investigation can identify something worth searching for elsewhere. A finding can lead to action under the security team’s policies.
That is what we mean by the SOC that goes looking: a system with the capacity to pursue the threats, questions, and improvements that matter to the organization.
“In most organizations, the tools are there, but the integration that makes them useful together is not.”
Built around the environment you already have
This approach shaped an important architectural decision.
Mave works directly across existing security and IT systems, gathering context where it lives. Organizations can bring those systems into a shared operation without first migrating their telemetry into another centralized database.
That gives Mave access to the native capabilities of each tool and the live context needed for the task at hand. It also gives teams room to evolve their security environment while keeping their operational workflows connected.
As Atad Peled, Partner at Red Dot Capital Partners, puts it, the opportunity is to “decouple the security work from the data layer” and close the gap between what teams can collect and what they can act on.
Evidence people can trust, actions they can control
Giving AI more responsibility in security operations also means making its work inspectable.
Teams need to understand what was checked, which evidence supports a finding, and why a particular action is being proposed. Having to rebuild an investigation to establish whether its conclusion is sound creates more work.
Mave records the queries, evidence, reasoning, and actions behind its findings. Security teams set the rules for execution, including what can run automatically and what requires human approval.
“Mave is built to reduce risk by giving security teams AI that can keep pace with attackers, show its work, and know when human judgment is required,” says Raziel Oren, co-founder and CEO of Mave.
Already at work
Fortune 200 companies and global MSSPs are already using Mave across their security operations. The platform also operates in regulated financial and healthcare environments.
In live attacks, Mave has helped contain incidents by isolating systems, disabling compromised identities, and blocking malicious activity.
Those environments make the requirements concrete. Findings need supporting evidence. Responses need to respect organizational policies. The system needs to work across the tools teams depend on every day.
We’re grateful to the customers who have trusted us with that responsibility and helped shape what Mave has become.
What comes next
The funding will help us deepen our AI research, expand the platform’s capabilities, and grow our global presence. We also plan to more than double our team, with hiring focused on AI research and go-to-market.
To Red Dot Capital Partners, Dell Technologies Capital, Emerge Ventures, Lumir Growth Partners, and our angel investors, thank you for backing our ambition.
To our team, thank you for the ideas, judgment, and effort you’ve put into building Mave.
We believe security teams should have the capacity to investigate thoroughly, hunt continuously, improve their defenses, and act on what they learn. That belief brought us together, and it continues to guide what we build.
We’re happy we can finally share it with you.