Improving Cybersecurity with AI and ML: Approaches, Difficulties, and Prospects

Abstract

Because of the advancement and combination of artificial intelligence and machine learning (AI) (ML), the cybersecurity environment is changing quickly. Along with exposing the increased vulnerabilities brought about by these technologies, This essay looks at how important ML and AI are to bolstering safeguards in cybersecurity against increasingly complex cyberthreats. The dual Examined is the nature of AI and ML in cybersecurity in detail using historical patterns, evaluations of technology, and forecast modeling. Significant topics are discussed, including as data protection, ongoing AI model training, manipulation threats, and ethical considerations. The study highlights a well-rounded strategy that makes use of both strong cybersecurity procedures and strict ethical standards in addition to technological progress. This strategy makes it easier for different stakeholders to work together to create rules that guarantee the proper and efficient application of artificial intelligence in cybersecurity, with the goal of improving privacy and system integrity without sacrificing security.