Matters.AI Raises ₹55 Cr to Build Self-Learning ‘AI Security Engineer’

AI-native data security company Matters.AI has raised ₹55 crore to pioneer a new category of enterprise defence, the “AI Security Engineer”, a self-learning system that autonomously detects, predicts, and mitigates data risks across cloud, SaaS endpoints, and on-prem environments.

The ₹42 crore Seed round was co-led by Kalaari Capital and Endiya Partners, with participation from Better Capital, Carya Venture Partners, and leading cybersecurity angels. An earlier ₹13 crore Pre-Seed round was led by Better Capital and Carya Venture Partners.

“The world doesn’t need another dashboard screaming alerts; it needs a system that can think,” Keshava Murthy, co-founder and CEO of Matters.AI, said. “That’s the AI Security Engineer, one that never sleeps.”

The funding will accelerate product R&D in predictive detection, expand go-to-market operations in India and the US, and scale engineering and customer success teams serving highly regulated sectors under the Digital Personal Data Protection (DPDP) Act.

With over 90% of enterprise data remaining invisible to security teams, Matters.AI aims to unify visibility and protection. Its self-learning engine leverages semantic graphs and predictive models to understand data behavior, intent, and context, shifting from reactive alerts to autonomous prevention.

Harsh Sahu, co-founder and CTO, described the platform as reasoning “like a human engineer,” capable of learning from how people and data interact to predict misuse and respond in real time.

Meanwhile, Sateesh Andra, managing director at Endiya Partners, said Matters.AI bridges a critical gap between visibility and enforcement. “It unifies discovery, lineage, and intent-aware controls so organisations can prevent data exfiltration across environments while cutting alert noise,” he noted.