Recent research conducted by Wing has revealed that a staggering 99.7% of organizations are currently utilizing AI-driven SaaS applications. While these applications offer numerous benefits, they also pose a significant risk to sensitive data and intellectual property.


Furthermore, the study found that 70% of the top 10 AI applications may use user data for training their models [2]. This process often involves retraining, human analysis [1], and sharing of data with third parties. Unfortunately, these potential threats are often hidden in the fine print, making it challenging for security teams to effectively manage and protect against potential breaches [2].


The widespread use of AI-driven SaaS applications presents a clear and present danger to organizations’ sensitive data and intellectual property. To mitigate these risks, security teams must remain vigilant and proactive in monitoring and safeguarding against potential breaches. Moving forward, it is crucial for organizations to prioritize data security and implement robust measures to protect against the ever-evolving threats posed by AI technology.