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When testing the user experience of a new tech product, making the experience as true to “real life” usage for testers as possible is an important part of getting genuinely insightful feedback. However, protecting the sensitive data used to build the product is essential, as is guarding your intellectual property.
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If you unlocked your smartphone with a glance today, you’ve tapped into computer vision. Simply put, computer vision entails training computers to “recognize” objects visually—everything from human faces to written text. And its possibilities extend far beyond adding a layer of convenience when we’re using our personal devices.
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Natural language processing technology refines our internet search results, helps voice assistants such as Siri understand our questions and commands, keeps spam out of our email inboxes, and more. The eruption of ChatGPT and other generative artificial intelligence tools introduced the world to multifunctional assistants that, with a simple query, can help with research, writing and generating images—even creating code.
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Artificial intelligence is increasingly being used in cybersecurity, as it can help to identify and investigate potential threats. There are several different ways in which artificial intelligence can be used in cybersecurity. For example, it can be used to create models of normal behavior so that abnormal behavior can be more easily identified. It can also be used to create Virtual Analysts that can work alongside human analysts to help investigate potential threats.

Not only does AI improve security, but it also helps to protect against a wide array of potential threats. The adversity-detection properties of AI algorithms can be used to thwart some previously unforeseen types of attacks, such as those that exploit vulnerabilities in software or malicious code designed to propagate through networks. Artificial intelligence is also used to develop new attack detection and prevention methods. For example, machine learning algorithms are used to develop intrusion detection systems that can more accurately identify potential attacks.

In addition, AI can automatically analyze large data sets for security purposes – something that would otherwise be impossible for human analysts to do in a timely and effective manner. This is particularly relevant given the sheer volume of data organizations now have to contend with. By employing AI-powered analytics, businesses can gain invaluable insights into their networks and potential vulnerabilities and take steps to mitigate them accordingly.

Finally, AI can also be used to simulate cyberattacks and test an organization’s response to them. This allows businesses to identify any potential weak points in their defenses and shore them up before real-world attackers can exploit them. What are your thoughts on using AI in cybersecurity? Let me know in the comments below!