Vulnerabilities

In the context of data science and artificial intelligence, vulnerabilities refer to weaknesses or flaws in a system that can be exploited by attackers to gain unauthorized access, steal data, or disrupt operations. These vulnerabilities can exist in software, hardware, or human processes and can be caused by design flaws, coding errors, or configuration mistakes. Identifying and mitigating vulnerabilities is a critical aspect of cybersecurity and risk management in data science and artificial intelligence applications. This involves conducting regular vulnerability assessments, implementing security controls, and staying up-to-date with the latest threats and patches.
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