In this article, we focus on the many, varied ways that artificial intelligence is improving privacy in 2020.
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If you’re like everyone else around the world, privacy is a big deal. We regularly upload our personal information to websites when we make purchases, we also add customer information to our website as a business owner, and we want to preserve the integrity of our code data to prevent theft and abuse.
Everyone understands how artificial intelligence and machine learning help with data-driven decisions by compiling massive amounts of information into easily digestible reports. But the real question most people are asking right now is, “how are developers using this information to improve privacy?”
When you consider the number of IoT devices, smartphones, and internet connections worldwide, it becomes clear that privacy is the fabric that holds these connections together. For example, out of the over 194 billion phone applications, developers that don’t put privacy first will quickly fizzle out in such a saturated market.
Today, we are going to take a look at several ways that AI is improving privacy for consumers and website developers worldwide.
Let’s dive in!
You’re probably familiar with the harmless bugs that affect programs after launch. In many cases, these problems do not put consumer privacy at risk. However, there are ways that hackers and scammers try to steal data from your website visitors by exploiting programming bugs.
AI and machine learning can identify issues with programming by quickly examining data and looking for anomalies. Once you create a blog or online store, you might be tempted to use a static analysis scanner to check your site for bugs.
