Mate is a cybersecurity startup that emerged from stealth in November 2025 to reinvent the security operations center for the AI era. Founded by Asaf Wiener (CEO), Oren Saban (CPO and former head of product for Microsoft Defender XDR and Security Copilot), and Guy Pergal (CTO and veteran of Microsoft's threat intelligence center), the team blends Wiz and Microsoft alumni with deep experience in large-scale security operations and product development.
At the core of Mate is a Security Context Graph — an organizational knowledge base that the platform builds by ingesting a company's data, tools, documentation, standard operating procedures, and past incidents. Unlike generic AI SOC tools that start from scratch, Mate claims it can understand a unique environment within 24 hours, giving its AI the context needed to investigate alerts the way an organization's best analysts would. This contextual layer is the differentiator: investigations are grounded in how that specific environment actually operates.
Functionally, Mate automatically investigates incoming alerts, connects evidence across systems, escalates complex incidents with full context, and can execute response actions with human oversight. As investigations close, it generates new detections — a 'continuous detection / continuous response' loop that turns the SOC into a system that keeps learning. The company reports outcomes such as a 93% reduction in mean time to respond, 99%+ alert coverage, and the ability for teams to handle their entire alert queue rather than triaging only a fraction.
Importantly, Mate is designed to augment, not rip out, existing infrastructure. It embeds directly into SIEMs, EDRs, email security systems, and custom tools, absorbing organizational knowledge in real time instead of forcing a platform migration. That approach lowers adoption friction for security teams already invested in their tooling.
Mate launched with $15.5 million in seed funding from Team8 and Insight Partners, and says deployment validation is underway with large financial institutions and critical infrastructure operators across the U.S., Europe, and Israel. Its bet is that the future SOC is a continuously learning, context-aware AI system that frees human analysts from alert fatigue while preserving human judgment over critical response decisions.