Matters.AI Raises $6.25 Million to Launch AI Security Engineer

AI-native data security company Matters.AI has announced $6.25 million in funding to launch its AI Security Engineer platform. The funding includes a $4.75 million seed round co-led by Kalaari Capital and Endiya Partners, with participation from Better Capital, Carya Venture Partners, and cybersecurity industry investors. An earlier $1.5 million pre-seed round was led by Better Capital and Carya Venture Partners.

The funds will support research and development in predictive defence, expansion into the United States, and scaling engineering efforts to meet enterprise demand. The AI Security Engineer is designed to autonomously detect and protect sensitive data across cloud, SaaS, and endpoint environments. It integrates semantic graph intelligence with predictive reasoning directly into enterprise systems, operating as a self-learning, always-on solution.

According to the company, the system provides full data visibility through eBPF tracing, data lineage, and fingerprinting. It supports both on-premises and SaaS deployments, enabling governance across generative AI tools such as ChatGPT and Copilot. The platform aims to close the gap between visibility and enforcement by unifying discovery, lineage, and intent-aware controls into a single policy framework.

Matters.AI stated that the platform continuously learns from telemetry across endpoints and cloud environments, predicting and containing data misuse in real time. The company positions its AI Security Engineer as an autonomous cockpit for enterprise data protection, offering context-driven insights while reducing alert noise.