Matters.AI has raised $6.25m in funding to launch what it calls the first “AI Security Engineer”, an autonomous system designed to safeguard enterprise data across all environments.
The investment includes a $4.75m seed round co-led by Kalaari Capital and Endiya Partners, with participation from Better Capital, Carya Venture Partners, and several prominent cybersecurity angels. It also includes a $1.5m pre-seed round led by Better Capital and Carya Venture Partners.
Founded by a team of security engineers, Matters.AI has developed a platform that acts as a self-learning security engineer for enterprises. Unlike traditional solutions, it integrates semantic graph intelligence and predictive reasoning directly into existing systems, rather than adding a separate AI layer. The platform autonomously identifies, monitors, and protects sensitive data across cloud environments, SaaS applications, and endpoints.
The company plans to use the fresh capital to accelerate research and development in predictive defence, expand into the US market, and scale its engineering team to meet growing enterprise demand. Matters.AI aims to redefine data protection by making it continuous, intelligent, and context-aware, offering enterprises a system that “sees, understands, and protects” before any threat materialises.
Matters.AI CEO and co-founder Keshava Murthy said, “The market doesn’t need another tool or alert. Matters.AI instead provides an intelligent AI interface that understands context and acts before misuse occurs. The future of security is AI-native. That’s why we built the AI Security Engineer to keep data protection always-on and self-learning.”
Endiya Partners managing director Sateesh Andra said, “Security teams tell us their biggest gap is between visibility and enforcement. Matters unifies discovery, lineage, and intent-aware controls into a single policy plane so organisations can prevent data exfiltration across cloud, SaaS, endpoints, and AI tools – while cutting alert noise. We’re delighted to co-lead this round with Kalaari Capital, and back Keshav, Harsh, and Dhiraj as they execute on this AI-native architecture.”
Matters.AI CTO and co-founder Harsh Sahu said, “Our system operates like an autonomous cockpit. It learns continuously, correlating telemetry from endpoints, SaaS, and cloud to predict and contain data misuse in real time.”
Kalaari Capital partner Sampath P added, “As privacy regulations tighten worldwide and AI adoption accelerates, enterprises face an urgent need for intelligent, autonomous data protection. Matters.AI is building the control layer for this new reality, a system that learns, adapts, and secures data while ensuring continuous compliance in an AI-driven world.”
The company’s technology addresses one of the biggest gaps in enterprise cybersecurity — visibility. With over 90% of sensitive data still invisible to security teams and an average data breach costing nearly $9m, Matters.AI’s AI-native platform promises to unify fragmented tools, reduce false alerts, and deliver context-driven insights that empower CISOs to act proactively.
Copyright © 2025 RegTech Analyst
Copyright © 2018 RegTech Analyst
