AI & Machine Learning in Applications Security and Vulnerability
Rajalakshmi Thiruthuraipondi Natarajan · Journal of Artificial Intelligence Machine Learning and Data Science · 2024
Vulnerabilities are the cracks in IT landscape through which hackers and other malicious users gain unauthorized access to the underlying systems and perform nefarious activities.These attacks can cost dearly to the company leading to financial and legal impacts.With the attackers getting smarter and finding new ways to hack, it is a continuous and tedious job for the security division to wade away these attacks and protect their applications.Leveraging AI and machine learning the security team cat have a better understanding of their systems and be able to identify and plug any gaps found.Using machine learning the team can have a complete knowledge of their landscape to understand the functionalities and with AI they can identify the gaps in the system that might potentially be a target for hackers to creep into the system.With careful design considerations and definitions AI can be a boom to the security division for performing various security checks in various phases of the project and support to find problems with the system and take corrective remedial actions.It can also be used to scan through the Internet and other support centers to find similar situations and recommend patches and other practical solutions for the issues identified thereby directing the team to traverse in the right path.There are several steps and techniques that can be followed to accomplish this which will be seen in detail in the following document.