Aurva, a start-up launched by former Meta engineers, has emerged from stealth with $2.2m in seed funding as it looks to strengthen real-time data security in the age of AI.
The oversubscribed round was led by Nexus Venture Partners, with backing from DeVC and several industry figures including former Meta executives Chris Bream, Rahul Sood, Karandeep Anand and Mala Ramakrishnan. Also joining were Postman founders Ankit Sobti and Abhinav Asthana.
Founded by Apurv Garg, CEO, and Krishna Bagadia, CTO, Aurva has created what it calls the first unified platform for access monitoring and AI observability. Bagadia previously worked on Meta’s data security systems, while Garg spearheaded AI initiatives across the firm’s business messaging units. Their new platform is inspired by Hipster, Meta’s internal data access control system, and aims to apply the same principles to large-scale enterprises navigating the risks posed by AI-driven workloads.
Aurva’s technology gives organisations visibility into who or what is accessing sensitive data in real time, linking every query or data flow to a verified identity – whether human, service or AI agent. The platform also employs eBPF, a kernel-level sandboxing technology used by companies like Google, Netflix and Meta, to provide low-overhead monitoring and detection of unauthorised activity.
With the new funding, Aurva plans to expand its engineering team, build out AI observability capabilities, and meet increasing demand from enterprise clients in the US and worldwide.
The company has already secured customers across banking, SaaS and FinTech, including Forbes Cloud 100 firm Razorpay and social commerce platform Meesho, which serves 100m monthly users. In production, Aurva monitors billions of daily transactions at major financial institutions, analyses over 1bn queries per day at a digital bank and payments provider, and automatically tracks more than 2,000 AI apps and agents for a large e-commerce business.
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.”
Copyright © 2025 RegTech Analyst
Copyright © 2026 RegTech Analyst
