Aurva: $2.2 Million Closed For Launching Real-Time AI Data Access Monitoring Platform

By Amit Chowdhry • Sep 10, 2025

Data security startup Aurva has emerged from stealth with $2.2 million in seed funding to launch its unified platform for access monitoring and AI observability. The round was led by Nexus Venture Partners and joined by DeVC, along with prominent angel investors including former Meta executives and the founders of Postman.

Founded by ex-Meta engineers Apurv Garg and Krishna Bagadia, Aurva is tackling a growing challenge in enterprise environments: how to monitor and secure sensitive data accessed by AI agents, services, and humans in real time. Inspired by Meta’s internal platform Hipster, Aurva’s system ties every query and data flow to a verified identity, offering visibility into who is accessing what, how, and why.

Unlike legacy database activity monitoring tools that rely on delayed logs and static alerts, Aurva uses eBPF—a kernel-level sandboxing technology adopted by companies like Google and Netflix—for low-overhead, real-time monitoring. Its platform combines query intelligence, agentic access tracking, and egress detection to help enterprises identify overprivileged access, unauthorized AI usage, and risky data flows.

Aurva is already deployed across fintech, SaaS, and banking sectors, monitoring over 4 billion transactions daily at a significant financial institution and analyzing more than 1 billion queries per day at a leading digital bank. It has also auto-discovered and tracked over 2,000 AI agents at a large e-commerce provider.

How the funding will be used: The funding will be used to expand Aurva’s engineering team, enhance its AI observability features, and support growing demand from enterprise customers in the U.S. and globally.

KEY QUOTES:

“Existing tools were built for static environments. But AI is dynamic, it’s everywhere, and it just runs. There are now countless ways data gets accessed, often without visibility. Enterprises need to rethink how they monitor sensitive data usage in real time; across humans, services, and AI agents. That’s why we built Aurva: to bring observability to AI usage and connect it directly to data access and flows.”

Apurv Garg, founder and CEO of Aurva

“Aurva gives us real-time, identity aware visibility into data access, helping us prevent unauthorized use and privilege escalation while meeting regulatory guidelines. As access becomes more agentic and ephemeral, we rely on Aurva to tie queries to identities and flag anomalies. It is a critical layer in keeping production safe at scale.”

Ashwath Kumar, Head of Security at Razorpay

“Security teams urgently need a runtime-first approach to data security, especially as AI systems autonomously interact with sensitive enterprise data. Aurva’s team has proven that they can build at scale, and they are bringing a robust enterprise-grade solution to market at the right time.”

Jishnu Bhattacharjee, Managing Director at Nexus Venture Partners

“With the rapid growth of AI, understanding which identities, especially non-human ones, are accessing your data and how they are doing it has never been more important. Aurva is redefining what access monitoring should mean in an era of autonomous agents and service-based access by tying activity back to real identities. Their eBPF-based architecture offers a refreshing and modern approach, enabling flexible, low-overhead deployment. With their background in data systems and advanced threat actors, Apurv and Krishna have built a powerful platform that addresses real security problems.”

Chris Bream, former Security Executive at Meta and an angel investor in the round