The Pulse
Mave Raises $34M to Connect Enterprise Security Tools With AI
Mave emerged from stealth with $34 million in funding for AI agents designed to work across the security tools enterprises already use. The company says its platform is running in more than 200 security operations centers and will use the f
AI.info Team · Written with AI · fact-checked ·
Mave emerged from stealth on October 22 with $34 million in funding and a pitch built around a practical problem for security teams: investigating an incident often means piecing together evidence scattered across many tools. The company says its AI agents work directly across those systems, connecting threat intelligence, investigations, threat hunting, detection engineering and response without first moving telemetry into a new central database.
The funding comprises 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 says the platform is already running in more than 200 security operations centers, or SOCs. It plans to use the new capital to expand AI research, strengthen its enterprise platform and grow internationally.
Mave’s agents work across existing security tools
Rather than requiring companies to replace their security stack or consolidate its data, Mave says its agents query connected systems in their native languages and gather live context as an investigation proceeds. A team can start with a security question, a new attack campaign, an alert investigation or a gap in detection coverage. The system can then bring together evidence from different tools for staff to examine.
That design is intended to connect work that security teams often handle separately. A threat hunt might reveal a detection gap; an investigation might prompt a search for related activity elsewhere; and a validated finding could lead to a response allowed under the organization’s policies. Mave says teams set which actions can run automatically and which need human approval.
Evidence and approval remain part of the workflow
The company says it records the queries, evidence, reasoning and actions behind its findings, so security staff can review how an agent reached a conclusion and what it did. Mave describes the recordkeeping and approval controls as safeguards for placing AI into workflows where a mistaken response can disrupt systems or accounts.
“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.
The company says its platform has helped contain live attacks by isolating systems, disabling compromised identities and blocking malicious activity.
Funding follows reported commercial growth
Mave says Fortune 200 companies and global managed security service providers use the platform, including in financial and healthcare environments. Those customer and deployment claims come from the company; its announcement does not name customers or provide an independent performance comparison.
Calcalist CTech reported that Mave says its annual recurring revenue grew by more than 400% over the preceding six months and that it is closing seven-figure deals. CTech also reported the startup planned to more than double its team, with hiring focused on AI research and go-to-market roles.
The test is whether agents can earn operational trust
Mave’s approach rests on letting agents gather context and act across tools already in use, rather than depending on a new repository for all security data. That may reduce the manual handoffs involved in investigations, but the announcement offers no independent benchmark for investigation speed, accuracy or the share of alerts the system can resolve without staff intervention.
For now, the company’s concrete claims are deployment in more than 200 SOCs, use by large enterprises and service providers, and its stated ability to take approved containment actions. The new funding is earmarked for AI research, platform development and expansion, while Mave plans to more than double its team.