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AI has fundamentally changed security operations. Attackers operate at machine speed. They automate reconnaissance, generate convincing phishing campaigns in seconds, adapt techniques in real time, and scale attacks beyond what human teams can keep up with. AI has changed both the pace and the economics of cyberattacks.
The Security Operations Center wasn’t designed for this reality. Its architecture was built for a world where humans investigated human-scale attacks. As AI changed the threat landscape, it became clear that security operations needed to evolve with it.
When Guy Pergal, Oren Saban, and I started Mate, we knew we had to build a new foundation.
That conviction came from our own experience. Before founding Mate, we spent years building products like XDR and Security Copilot. We saw firsthand how security operations were evolving, how AI was changing both offense and defense, and where the existing architecture was beginning to reach its limits.
The industry responded by bringing AI into existing security platforms. We believed the opportunity was much bigger.
Security operations need more than an LLM bolted onto a SIEM; they need a new architectural foundation built around AI.
That idea became the foundation of Mate.
We built our platform around organizational context because AI needs to understand more than alerts and telemetry. It needs to understand the organization itself - its people, assets, systems, history, policies, and accumulated knowledge. Context gives AI the ability to investigate with the same understanding that experienced analysts develop over years.
Trust was the second design principle. AI will only become part of everyday security operations if security teams trust its reasoning and its actions. That trust has to be part of the architecture from day-one.
The third principle was openness.
Security environments change every day. Organizations adopt new tools, replace tools, get acquired, people leave... The platform underneath has to keep going.
Together, these principles became our vision: an open foundation for agentic security operations.
12 months ago, this was a conviction shared by three founders. Today, we’re seeing it become reality.
The growth is so fast that we’ve raised the bar on our own goals three times this year. We’re growing ARR by triple digits, winning nearly 100% of the POVs and bake-offs we enter, and already count some of the world’s largest enterprises, including Fortune 500 companies, as customers.
What’s most exciting is what this growth represents.
Across my conversations with customers, I’m seeing the same realization: They're seeing how with AI, age-old problems are suddenly solvable: data fragmentation, multitudes of data sources, schemas, and knowledge gaps, expensive security tooling that can now be replaced with elegant solutions.
Today, we’re excited to announce our Series A funding.
I’m grateful to Insight Partners and Team8 for continuing to believe in this vision from the very beginning, and excited to welcome Canaan Partners and M12, Microsoft’s Venture Fund, as we enter our next chapter.
Most of all, I want to thank the entire Mate team. Building a category is the result of hundreds of decisions, relentless execution, and a team that’s willing to challenge conventions every day. This milestone belongs to every person at Mate who believed we could build something fundamentally different and had the drive to make it real.
This investment allows us to move faster, address the demand, and continue pushing the boundaries of what’s possible.
AI capabilities will continue to improve. Attackers will continue to evolve. Security operations will continue to change.
The platforms that define this new era won’t be the ones with the best models or long feature lists. They’ll be the ones built on the right foundation.
That’s the future we believed in when we started Mate.That's what we built and delivered to several Fortune 500 companies already, and that's what we're continuing to invest in:
The open foundation for agentic security operations. The market said yes - we’re just getting started.
