The swift growth of digital systems and the increasing amount of data have heightened cybersecurity challenges, making traditional security measures insufficient. Artificial Intelligence (AI) offers a promising solution by improving threat detection, safeguarding data, and automating defensive actions. This paper investigates the role of AI in protecting computer systems and sensitive information, examining existing techniques and potential future developments. We propose a multi-layered AI-driven security framework, explore machine learning (ML) and deep learning (DL) methodologies, and assess privacy-preserving strategies such as federated learning and encryption. Furthermore, we tackle challenges such as adversarial attacks, data governance, and model interpretability. Our conceptual framework illustrates that AI-enhanced security can significantly bolster system resilience, mitigate risks, and facilitate proactive, adaptive defense strategies.
Amit Venunath Dange (Tue,) studied this question.
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