Just a few months ago, tech enthusiasts were abuzz with the announcement of GitHub's Copilot – a new AI-powered tool that helps developers write code quickly and accurately by suggesting snippets of code based on the context of what they're working on. However, this excitement may have been short-lived for some as Apple – one of the world's leading tech giants – has recently restricted the internal use of Copilot within its organization over concerns of potential data leaks.
Apple's concern with Copilot stems from its ability to access and process confidential code snippets stored on GitHub – an online platform where developers can host and share their code with others. Copilot works by scanning public and private repositories on GitHub in order to learn from the vast amount of code available and then uses this knowledge to suggest code snippets that developers can use in their own projects. However, this also means that Copilot has the ability to access any confidential code snippets that may be stored on GitHub – potentially putting sensitive information at risk if it falls into the wrong hands.
While there have been no reported cases of data breaches due to Copilot, Apple's move to restrict its internal usage is indicative of the increasing concern over data privacy in the tech industry. The rise of AI-powered tools and platforms has made it possible for large amounts of data to be processed and shared without proper safeguards in place, putting individuals and organizations at risk. In fact, a recent survey conducted by Cisco found that 83% of respondents believed that advancements in technology have made it more difficult to protect sensitive information.
So what can individuals and organizations do to protect their data in the face of increasing technological advancements? Here are a few tips:
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Curated by Team Akash.Mittal.Blog
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