Chennai-based startup GoSense.ai has launched an AI-native security platform to protect banking and fintech applications from real-time fraud. The tool uses Runtime Application Self-Protection to identify threats like device tampering and accessibility abuse, offering a new layer of security for mobile-first financial services.
GoSense.ai, a technology firm based in Chennai, has introduced a new security platform aimed at banks and fintech companies. This solution uses a technology called Runtime Application Self-Protection, or RASP, which acts as a security shield that lives inside an application rather than just guarding the perimeter. By monitoring user activity and device health in real-time, the platform is designed to stop fraud before it happens.
The rise of mobile-first financial services, such as UPI-based payments, digital lending, and wealth management apps, has created new vulnerabilities. Attackers often use techniques like device rooting, emulators, or accessibility abuse to intercept sensitive user information. GoSense.ai’s platform aims to detect these triggers while the application is running, providing institutions with a way to mitigate risks that traditional security measures might miss.
It is important to note that GoSense.ai is a private company and is not listed on the National Stock Exchange (NSE) or the Bombay Stock Exchange (BSE). Consequently, investors cannot buy or sell shares of this specific entity. However, the launch highlights the growing demand for advanced cybersecurity solutions within the Indian fintech sector. As digital transactions increase, financial institutions are under pressure to upgrade their security infrastructure to protect both their operations and their customers.
While the platform offers a proactive approach to security, the company enters a highly competitive market. The cybersecurity sector is dominated by both large, established global technology firms and specialized startups. A key business challenge for GoSense.ai will be keeping its technology updated against rapidly evolving fraud tactics, particularly those using generative AI, which can bypass standard protection measures. Any failure in the security software could also pose a significant risk, as financial institutions face high scrutiny regarding data breaches and system reliability.
For industry observers and those tracking the broader fintech ecosystem, the key monitorable will be the adoption rate of such RASP technologies among major banks and payment providers. The effectiveness of this platform in real-world, high-frequency transaction environments will determine its commercial success and its impact on the wider digital security landscape.