The Technical and Major Difficulties and Risk involved in Integrating the Artificial Intelligence with Cyber Security system: A systematic study

In this study, recorded failures of artificially intelligent systems will be presented and analyzed. We then extrapolate our findings to potential future AIs. I contend that future AI failures will become more frequent and more severe over time. Cyber security professionals' ideas can be used to enhance AI safety. While ’s cybersecurity breaches have the same moderate degree of severity as security faults for narrow AIs, broad AI failures have a significantly different consequence. A super intelligent system's single failure could result in a catastrophic scenario with no prospect of recovery. AI Safety aims to ensure that no attacks ever succeed in getting past the system's defenses, while cyber security aims to lower the amount of successful attacks on the system. Regrettably, such It is impossible to execute at a certain level. There is no such thing as a security system that is completely secure; all security systems eventually fail. Our time may be remembered as one of significant change by future generations. In only a few short decades, our civilization transitioned from being machine-dependent to being information-dependent, and as the Information Age advances, society is being forced to get a better grasp of procedures that are algorithmic and data-driven. Artificial agents are machines and systems that make decisions without the automatic, information, or algorithmic learning processes. These agents are increasingly being included into our everyday decision-making procedures. Their development and implementation raise numerous relevant policy issues.