Aurva bags $2.2m to secure real-time AI data access

Data security startup Aurva has launched from stealth mode with $2.2 million in seed funding. Founded by former Meta engineers, the company aims to transform how businesses monitor and protect sensitive information during artificial intelligence’s rapid expansion.

Funding and Founding Team

Nexus Venture Partners led the investment round, with additional support from DeVC and prominent angel investors. These backers include former Meta executives and Postman’s founders. Apurv Garg and Krishna Bagadia established Aurva after gaining experience at Meta. Garg worked in Meta’s AI-driven business messaging division, while Bagadia helped design and scale the company’s internal security infrastructure. Together, they aim to build a platform providing real-time, identity-aware visibility into data access across human users, services, and AI systems.

Technology and Platform Features

Aurva’s platform draws inspiration from Meta’s internal Hipster system, combining access monitoring with AI observability. The company uses eBPF technology, an advanced sandboxing method also used by Google and Netflix. This approach enables efficient, real-time monitoring of data usage at scale. Additionally, Aurva’s system connects every query or transaction to a verified identity, allowing companies to track how and why sensitive data gets accessed.

Early Success and Clients

Aurva has already demonstrated impressive results with major enterprises. The platform monitors over 4 billion daily transactions at a leading financial institution and handles 1 billion daily queries at a major digital bank. Furthermore, it tracks more than 2,000 AI applications and agents for a large e-commerce provider. Early clients include Razorpay, a Forbes Cloud 100 payment provider, and Meesho, the Meta-backed e-commerce platform serving over 100 million monthly users.

Future Plans and Industry Position

According to CEO Apurv Garg, existing security tools cannot handle dynamic, AI-driven environments effectively. “AI is everywhere, and it just runs,” Garg explained. “Enterprises need real-time observability across all identities—human, service, or agent. That’s why we built Aurva.”

The new funding will help Aurva expand its engineering team and enhance AI observability features. The company also plans to meet growing demand from U.S. and global enterprises. Investors consider Aurva a timely solution for companies addressing agentic AI risks, compliance requirements, and autonomous systems’ growing complexity.

By connecting every data flow to real identities and providing live monitoring at scale, Aurva establishes itself as an essential security layer for the AI era. The company’s approach meets the critical need for comprehensive data protection in increasingly complex digital environments where AI systems continuously access and process sensitive information. This positions Aurva at the forefront of next-generation data security solutions tailored for modern enterprise challenges.