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It's just another day on the internet when the news is full of headlines about accounts being hacked. The second story was about a number of verified Twitter accounts having been "hacked" and then leveraged in Bitcoin scams. And then there's the account holder, the one who chose the password. Without doubt, blame lies with them.
Princeton's Karen Levy has a good article computer security and the intimate partner threat: When you learn that your privacy has been compromised, the common advice is to prevent additional access -- delete your insecure account, open a new one, change your password.
In this article, we explore how generative AI is driving a new era of cybersecurity, its real-world applications, and the future it promises for protecting digital assets. Future developments may include: AI Collaboration : Integration of generative AI with other AI systems to create more robust security networks.
This can include information such as Social Security numbers, birth dates, credit card numbers, and bank account details. Stolen personal information can be used to impersonate individuals, opening the door to identity theft and fraud. Consider using a reputable password manager to securely store and manage your passwords.
The best description I’ve seen of what threat modelling consists of, is in an article by Katie Nickels who says it’s “the process of figuring out what you have that adversaries care about”. The takeaway here is we’re dealing with an imperfect, messy solution for a messy, imperfect requirement to use our accounts. Threat models.
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