Aurva, a data security startup founded by former Meta engineers, has emerged from stealth with a $2.2m seed round.
The company, which has developed a unified platform for access monitoring and AI observability, is positioning itself as a pioneer in securing enterprise data in real time.
The seed investment was led by Nexus Venture Partners, with participation from DeVC and several angel investors, including former Meta executives Chris Bream, Rahul Sood, Karandeep Anand, Mala Ramakrishnan, alongside Postman founders Ankit Sobti and Abhinav Asthana.
Aurva was established by CEO Apurv Garg and CTO Krishna Bagadia. Garg previously worked on AI initiatives in Meta’s business messaging division, while Bagadia helped design and scale Meta’s internal data security infrastructure. Drawing inspiration from Hipster, Meta’s internal data access control platform, Aurva applies those lessons to help enterprises manage the security challenges brought by large-scale AI adoption.
The company’s platform provides enterprises with end-to-end visibility of who is accessing sensitive data, how it is being used, and why. It ties every data flow to a real identity, whether it is a human, service, or AI agent. Using eBPF, an advanced sandboxing approach used by leading tech firms such as Google and Netflix, Aurva enables real-time, low-overhead monitoring of data usage.
Aurva plans to use the new funding to expand its engineering team, deepen its AI observability capabilities, and meet rising demand from U.S. and global enterprises. The company already has dozens of enterprise customers, including FinTech and SaaS firms. Razorpay, a Forbes Cloud 100 payment provider, and Meesho, a Meta-backed e-commerce platform with more than 100m monthly users, are among its early adopters.
Aurva claims its system has already achieved major milestones, including monitoring more than 4bn transactions per day at one of the world’s largest financial institutions and analysing over 1bn queries daily at a leading digital bank. The platform has also tracked more than 2,000 AI applications and agents in production environments for a large e-commerce provider.
Aurva CEO Apurv Garg said, “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.”
Razorpay head of security Ashwath Kumar said, “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.”
Nexus Venture Partners managing director Jishnu Bhattacharjee said, “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.”
Former Meta security executive and angel investor Chris Bream said, “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.”
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