The impact of Artificial Intelligence on cyberspace security and market dynamics
DOI:
https://doi.org/10.38152/bjtv7n4-019Keywords:
Artificial Intelligence (AI), cybersecurity, machine learning, threat detection, incident response, data quality, adversarial attacksAbstract
The integration of artificial intelligence (AI) into cybersecurity has marked a transformative shift in the field of digital security, offering advanced capabilities for threat detection, response, and prevention. This paper explores the impact of AI on cybersecurity, examining its role in enhancing security measures, the challenges associated with its deployment, and the implications for market dynamics. AI technologies, including machine learning and deep learning, have significantly improved the ability to identify and mitigate cyber threats by analyzing large volumes of data in real-time and automating incident response. Despite these advancements, the application of AI in cybersecurity presents challenges such as data quality, bias, false positives, adversarial attacks, and ethical concerns. The paper also discusses future directions for AI in cybersecurity, including advancements in explainable AI, the need for robust models, and the integration with emerging technologies. Overall, AI represents a powerful tool in the fight against cyber threats, but its deployment must be carefully managed to address its limitations and ethical implications.
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