Aurva Raises $2.2 Million in Seed Funding to Reinvent AI‑Era Data Security
Aurva, a Sunnyvale, California–based cybersecurity startup developing a unified platform for access monitoring and AI observability, has successfully raised $2.2 million in a seed funding round as it emerges from stealth with a mission to give enterprises real-time, identity-aware visibility into data access across humans, services, and AI agents. The oversubscribed financing — completed in September 2025 — positions the company to accelerate product development, expand its engineering team, and deepen its support for enterprise customers in the U.S., India, and global markets.
The seed round was led by Nexus Venture Partners, an early-stage venture capital firm focused on backing technology innovators in both enterprise software and digitally powered businesses. Nexus’ participation highlights strong investor confidence in Aurva’s approach to security in the age of pervasive AI-driven systems. Alongside Nexus Venture Partners, the round included participation from DeVC, an early-stage investment firm, as well as a group of prominent angel investors and industry leaders from the global security and AI ecosystem.
Among the individual backers are former Meta executives Chris Bream, Rahul Sood, Karandeep Anand, Mala Ramakrishnan, and founders Ankit Sobti and Abhinav Asthana of Postman. These investors bring deep experience in data systems, security, and software engineering, aligning with Aurva’s goal of addressing modern enterprise challenges related to sensitive data access and AI observability.
Aurva’s platform is designed to tackle a growing blind spot in traditional cybersecurity: real-time data access visibility in environments where autonomous AI tools and services interact with sensitive information. Traditional database activity monitoring tools rely on delayed logs and generic alerts, offering limited insight into how data is actually used by dynamic workloads. In contrast, Aurva applies identity-centric monitoring that ties every data access event to an authenticated human, service, or AI agent, enabling security teams to detect misuse, monitor AI activity patterns, and protect sensitive data more effectively.
The company was founded by former Meta engineers Apurv Garg (Chief Executive Officer), Krishna Bagadia (Chief Technology Officer), and Akash Mandal (Chief Architect). Garg previously led initiatives involving AI and business messaging at Meta, while Bagadia contributed to the design and scaling of Meta’s internal data security systems. Their experience informed Aurva’s product vision, which is inspired by real-time internal tools used at Meta but adapted for broad enterprise use in an era when AI and autonomous services are increasingly embedded in business workflows.
Aurva’s identity-aware approach leverages kernel-level eBPF technology — a lightweight, low-overhead mechanism also used by leading tech companies to monitor systems at scale. This architecture enables the platform to unify query intelligence, AI observability, and egress detection, helping enterprises identify over-privileged access, unauthorized AI usage, and risky data flows as they occur.
The startup’s customer base already spans a range of industries including fintech, SaaS, and banking, with early adopters such as Razorpay and Meesho deploying the platform to monitor high-volume data access patterns in production environments. These engagements have validated Aurva’s ability to handle billions of transactions and AI interactions daily while providing actionable insights that strengthen security postures and support compliance efforts.
With the new funding, Aurva plans to hire additional engineering and security experts, enhance its AI observability capabilities, and scale its platform to meet global enterprise demand. The company is also expanding its sales and marketing efforts to broaden its presence in key markets and deepen its engagement with regulated industries where real-time data monitoring and auditability are essential.
Investors have emphasized that Aurva’s focus on identity-centric monitoring and AI observability addresses a critical gap in enterprise security as organizations adopt increasingly complex AI-enabled systems. By linking data usage directly to verified identities, Aurva aims to create a new paradigm for understanding and controlling how sensitive information is accessed and utilized in real time.
As enterprises grapple with the dual pressures of adopting AI and safeguarding critical data, Aurva’s seed funding and emerging product suite position it as an important player in the next generation of cybersecurity and data governance infrastructure.
