AI-Driven Proactive Cloud Application Data Access Security

The widespread adoption of cloud applications, accelerated by remote work demands, introduces new security challenges. Traditional approaches struggle to keep pace with the growing volume of cloud applications, keeping track of their user activities and countering potential threats. This paper proposes a novel user access security system for cloud applications. The system leverages user activity tracking tied to user, device, and contextual identity data. By incorporating Identity Provider (IdP) information, Natural Language Processing (NLP), and Machine Learning algorithms (ML), the system builds user baselines and tracks deviations to bubble up critical deviations to the surface and proactively prevent…