Aurva Secures $2.2M in Funding Led by Nexus Venture Partners, Emerges from Stealth

September 10, 2025

A newly launched cybersecurity firm, Aurva, has secured $2.2 million in seed funding to bolster its real-time data access monitoring capabilities, specifically targeting the complexities introduced by Artificial Intelligence. The investment round,led by Nexus Venture Partners with participation from DeVC and industry experts,signals a growing urgency to secure data in an era of rapidly expanding AI integration.

The Rise of AI Observability

aurva intends to utilize these funds to expand its sales and marketing efforts, strengthen its security team, and further develop its AI observability features. The company is responding to a critical need in the enterprise security landscape: the ability to track and control how AI systems access sensitive data. Founded by former Meta engineers-Apurv Garg, Krishna bagadia, and Akash Mandal-Aurva aims to provide a unified platform for monitoring access and ensuring responsible AI deployment.

Recognized Innovation and Early Adoption

Aurva was recently recognized as India’s Most Innovative Cybersecurity Startup of 2024 by the Data Security Council of India (DSCI). Already, the platform serves a growing roster of enterprise clients, including razorpay, Slice Bank, Yubi, PayTM, and Meesho, across the fintech, SaaS, and banking sectors.

The company reports significant milestones among its early adopters:

• Monitoring over 4 billion transactions daily at a major financial institution.
• Analyzing more than 1 billion queries per day for a leading digital bank and payments provider.
• Automatically discovering and tracking over 2,000 AI applications and agents within a large e-commerce association.

Aurva co-founders (l-r): Apurv Garg (CEO), Krishna Bagadia (CTO), and Akash Mandal (Chief architect)

Addressing the new Security Paradigm

Traditional data security tools struggle to keep pace with the dynamic nature of AI-driven systems. Aurva’s approach, inspired by Meta’s internal data security platform Hipster, offers real-time monitoring at scale. The platform connects every data access request to a specific identity-whether a human user, a service, or an AI agent-providing thorough visibility and accountability. Did You Know? According to Gartner, by 2026, 40% of organizations will lack the skills to effectively secure AI-driven systems.

eBPF Technology for Enhanced Security

Aurva leverages extended Berkeley Packet Filter (eBPF) technology-a sandboxing technique employed by tech giants like google, Netflix, and Meta-for low-overhead, real-time monitoring. This enables the platform to unify Database Activity Monitoring (DAM), AI observability, and Data Security Posture Management (DSPM) while ensuring compliance with regulations like those from the RBI, SEBI, IRDAI, and DPDPA.

Industry Reactions and Future Outlook

“Security teams urgently need a runtime-first approach to data security, especially as AI systems autonomously interact with sensitive enterprise data,” stated Jishnu Bhattacharjee, Managing Director at Nexus Venture Partners, highlighting the strategic importance of the investment. Ashwath Kumar, Head of Security at Razorpay, emphasized the value of Aurva’s identity-aware visibility in preventing unauthorized data access. What impact will this level of access control have on future AI integrations?

Chris bream, former Security Executive at Meta and an angel investor, lauded Aurva’s eBPF-based architecture and its ability to tie data activity back to real identities. “Thier platform addresses real security problems,” he noted.

The Growing Need for AI Security

The proliferation of AI across industries is creating unprecedented security challenges. As AI systems become more integrated into critical business processes, the risk of data breaches and unauthorized access increases exponentially.Organizations must adopt proactive security measures, like those offered by Aurva, to mitigate these risks and ensure responsible AI deployment. The global AI security market is projected to reach $38.3 billion by 2028,driven by the increasing demand for robust security solutions. (Source: MarketsandMarkets, 2023).

Frequently Asked Questions about AI Data Access Monitoring

• What is AI observability? AI observability refers to the practice of monitoring and understanding the behavior of AI systems to ensure they are functioning as was to be expected and are not posing security risks.
• Why is real-time data access monitoring significant for AI? Real-time monitoring is crucial because AI systems operate dynamically and can access data in ways that traditional security tools cannot detect.
• What is eBPF and how does it enhance security? eBPF is a sandboxing technology that allows for low-overhead, real-time monitoring of system activity, improving security without significantly impacting performance.
• How does Aurva help with regulatory compliance? Aurva’s platform helps organizations meet compliance mandates by providing comprehensive visibility into data access and usage.
• What types of organizations can benefit from Aurva’s platform? Enterprises across fintech, SaaS, banking, and other industries that rely on sensitive data and utilize AI can benefit from Aurva’s security solutions.
• What is the difference between DAM and DSPM? Database Activity Monitoring (DAM) focuses on tracking database access, while Data Security Posture Management (DSPM) assesses overall data security risks. Aurva unifies both.
• How does Aurva identify AI agents accessing data? Aurva links every data access request, including those from AI agents, to a specific identity, providing clear accountability.

Share your thoughts on the evolving landscape of AI security in the comments below! What concerns do you have about data access and AI in your organization?

What specific advantages does Aurva offer professional software developers compared to customary low-code/no-code platforms?

Aurva Secures $2.2M in Funding Lead by Nexus Venture Partners, Emerges from Stealth

Understanding Aurva’s Core Innovation: AI-Powered Code Generation

Aurva, a previously stealth-mode company, has officially launched and announced a accomplished $2.2 million seed funding round led by Nexus Venture Partners. The company is focused on revolutionizing software growth through AI-powered code generation. This isn’t just another low-code/no-code platform; Aurva aims to significantly accelerate the coding process for professional developers, boosting productivity and reducing time-to-market for software projects.

Key features of aurva’s platform include:

Automated Code Completion: Intelligent suggestions that go beyond basic syntax, understanding the context of the project.

Function Generation: Automatically creating entire functions based on natural language descriptions.

Test Case Creation: Generating unit tests to ensure code quality and reliability.

Integration with Existing IDEs: Seamlessly works with popular Integrated Development Environments (IDEs) like VS Code, IntelliJ, and others.

the Funding Round: Nexus venture Partners and Key Investors

The $2.2 million seed round was led by Nexus Venture Partners, a prominent venture capital firm specializing in early-stage technology companies in India and the US. other participating investors included[Investornames-[Investornames-Information currently unavailable, placeholder for future updates]. This funding will be crucial for Aurva to expand its engineering team, accelerate product development, and scale its go-to-market strategy. The investment signals strong confidence in Aurva’s potential to disrupt the software development lifecycle.

How Aurva Differentiates Itself in the AI Coding Space

The market for AI coding assistants is rapidly growing, with players like GitHub Copilot, Tabnine, and Amazon CodeWhisperer already established. Aurva distinguishes itself through several key differentiators:

Focus on Developer Workflow: Aurva is designed to augment, not replace, developers. It integrates directly into their existing workflows and tools.

Advanced AI Models: The company utilizes proprietary AI models trained on a massive dataset of code, enabling more accurate and contextually relevant suggestions.

Emphasis on Code Quality: Aurva’s test case generation feature helps developers write more robust and reliable code.

Scalability for Enterprise: Built with enterprise-level security and compliance in mind,catering to larger organizations with complex needs.

The Impact on Software development Teams

Aurva’s technology promises importent benefits for software development teams:

Increased Developer Productivity: Automating repetitive tasks allows developers to focus on more complex and creative problem-solving. Estimates suggest potential productivity gains of up to 40%.

Faster Time-to-Market: Accelerated coding speeds up the entire software development process, enabling faster product launches.

Reduced Development Costs: Increased efficiency translates to lower development costs.

Improved Code Quality: Automated test case generation helps identify and fix bugs early in the development cycle.

Lower Barrier to Entry: AI-assisted coding can help junior developers become productive more quickly.

Target Audience and Use Cases

Aurva’s primary target audience is professional software developers working on a variety of projects. Specific use cases include:

Web Application Development: Building and maintaining web applications using frameworks like React, Angular, and Vue.js.

Mobile App Development: Developing mobile applications for iOS and Android.

Backend Development: Creating and managing server-side logic and APIs.

Data Science and Machine Learning: Automating code for data analysis and model building.

DevOps Automation: Generating scripts for automating infrastructure and deployment processes.

The Future of AI-Assisted Coding and Aurva’s Vision

The future of software development is undoubtedly intertwined with artificial intelligence. Aurva’s emergence from stealth and successful funding round position it as a key player in this evolving landscape. The company’s vision is to empower developers with AI tools that unlock their full potential, enabling them to build better software faster and more efficiently. Further development will likely focus on expanding language support, improving AI model accuracy, and adding new features to address the evolving needs of the software development community. The automation of coding tasks is no longer a futuristic concept; it’s becoming a reality, and Aurva is at the forefront of this revolution.