In today’s interconnected digital landscape, APIs (Application Programming Interfaces) are the backbone of many businesses, facilitating seamless data exchange between systems, applications, and users. While APIs are essential for modern innovation, they also pose unique risks—one of the most prominent being data scraping. Threat actors and competitors can exploit APIs to scrape valuable data and leverage it for training their AI models, often without the consent or knowledge of the data owners.

This blog explores how data scraping via APIs can fuel unauthorized AI development, its implications, and strategies to protect against it.

Data scraping involves extracting information from a website, application, or API in an automated manner. APIs, by design, offer structured and easy access to data, making them a prime target for scraping. While APIs are typically designed with access control, threat actors often find ways to exploit weaknesses to gain unauthorized access. Unfortunately, data-loss security products like DLPs, DSPMs etc are blind to APIs and don’t track the data going out of the organization due to APIs.

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