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What is Generative AI in cybersecurity?

a) AI that generates random code for cybersecurity purposes.
b) AI that creates new vulnerabilities in cybersecurity systems.
c) AI that generates responses to cyberattacks in real-time.
d) AI that creates synthetic data to train cybersecurity models.

Answer :

Final answer:

Generative AI in cybersecurity is AI that generates responses to cyberattacks in real-time and can also create synthetic data to train cybersecurity models. Its rise has led to important discussions on academic integrity, the ethical use of AI, and the need for regulatory frameworks to ensure its benefits are realized without causing harm.

Explanation:

Generative AI in cybersecurity refers to the application of artificial intelligence that can generate responses to cyberattacks in real-time. This innovative technology leverages machine learning and pattern recognition to identify potential threats and provide immediate defense measures. Generative AI can also play a role in creating synthetic data to train cybersecurity models, enhancing their effectiveness over time. With the growing concern over cybercrime and the sophistication of attacks, leveraging generative AI becomes a critical step in developing robust cybersecurity defenses. The rise of generative AI has brought forward concerns about academic integrity, especially in higher education (HE), where AI tools are being regulated to prevent misuse in assessments.

As the technology evolves, so does the discussion on its implications and potential regulations. An example is the governance of generative AI tools like ChatGPT in university policies concerning academic misconduct. Additionally, AI can also be used to predict students' academic outcomes and support personalized learning. Amid these advancements, ethical considerations and equitable use of AI in HE are emphasized to ensure that the deployment of these technologies does more good than harm.

Ultimately, generative AI in cybersecurity is a rapidly advancing field with vast potential and real-world applications that also touches upon broader socio-ethical issues.

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