Information Systems Security Association
Artificial Intelligence Applications in Cybersecurity
Pages
3
Time to read
11 mins
Publication
Language
English
Pages
3
Time to read
11 mins
Publication
Language
English
This technical report discusses the role of artificial intelligence (AI) in enhancing cybersecurity measures. It outlines the evolution of threat detection, contrasting traditional methods with AI-driven approaches. The report details the financial implications for organizations struggling to allocate resources for effective cybersecurity amidst an evolving threat landscape. It explains various AI technologies, including machine learning, deep learning, and generative AI, emphasizing their capabilities in threat detection. The report highlights the advantages of AI in cybersecurity, such as improved speed, accuracy, real-time detection, automation, adaptability, and scalability. Furthermore, it presents real-world applications in healthcare, illustrating the implementation of AI-based security measures to ensure safety and efficiency. Challenges such as data quality, legal and ethical issues, and the need for balancing AI with human expertise are also discussed, emphasizing the importance of high-quality data and ethical considerations in AI deployment.