Abstract: The proliferation of dynamic web frontends, often leveraging Single Page Application (SPA) architectures and complex client-side interactions, has made the continuous monitoring and enforcement of data privacy regulations increasingly challenging. Traditional, static auditing methods and manual checks struggle to keep pace with rapid deployment cycles and the nuanced ways user data is collected and shared in real-time.
Poorna Chander Kola (2026);
Autonomous Privacy Observability - An AI Agentic Framework for Real-Time Detection of CCPA and GPC Non-Compliance in Dynamic Web Frontends;
International Journal of Scientific and Research Publications (IJSRP)
16(2) (ISSN: 2250-3153),
DOI: http://dx.doi.org/10.29322/IJSRP.16.02.2026.p17007