The integration of artificial intelligence (AI) in cybersecurity has the potential to revolutionize threat detection, response times, and accuracy, but also presents challenges and risks. One of the benefits of using AI in cybersecurity is its ability to detect and respond to threats in real-time, while also automating routine security tasks. However, risks associated with the use of AI include the potential for privacy violations, adversarial attacks, and lack of transparency and explainability. Mitigating these risks involves developing robust testing procedures, implementing appropriate safeguards, and complying with relevant laws and regulations. Additionally, ethical implications, such as accountability and responsibility for AI failures and perpetuating biases, must be addressed. The use of AI in deception technology can also enhance cybersecurity by identifying potential attack vectors and creating realistic decoys. By adopting a responsible and ethical approach, cybersecurity professionals can maximize the benefits of AI while mitigating its potential risks.
Sources:
"Artificial Intelligence and Cybersecurity" by David Balaban, published in Security Boulevard in 2021 "The Integration of Artificial Intelligence and Cybersecurity" by David Mackenzie, published in the Journal of Cybersecurity in 2018 "Challenges and opportunities of AI in cybersecurity" by Mohammad Rasheduzzaman and Kshirasagar Naik, published in the Journal of Cybersecurity in 2020 "AI in cybersecurity: Opportunities and challenges" by Ritesh Kumar Singh, published in the International Journal of Computer Applications in 2020 "A review of artificial intelligence techniques in cyber security" by Mohd. Ilyas and S.M.K. Quadri, published in the Journal of Network and Computer Applications in 2019
