From the course: Artificial Intelligence for Cybersecurity
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Phishing and decision errors
From the course: Artificial Intelligence for Cybersecurity
Phishing and decision errors
- [Instructor] We just saw in the previous two videos how AI can help with solving problems of a massive scale and can provide context for better decision making. But good judgment needs to be both precise and accurate. Let's say you are making a forecast about the weather tomorrow. Accuracy refers to how close your prediction is to what really happens tomorrow. On the other hand, if you were to make such predictions for multiple days, how close will your prediction be to each other? And that's called precision. Let's talk about false positives. Let's say you are a software developer and as part of your normal routine, you run static code security analysis of your code. The scanner reports that your code has cross site scripting and injection issues. Now, security issues can make your application vulnerable to security attacks. Take another example. You are part of the security operations team and monitor the corporate…
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