The Role of AI in Revolutionizing Cybersecurity and Penetration Testing

Adversaries with Machine Learning and AI Body The incorporation of artificial intelligence (AI) in different areas is unquestionable and so is the worry about the ability of these systems to withstand interference. AI, and specifically machine learning, are not immune from poor input. ML models can be deceived with adversarial examples, small perturbations that alter inputs to cause errors in the outputs. Quality of training Training data can also introduce some level of bias and its and it's even more rotten in the most sensitive segments of society like the health sectors and autonomous driving. Furthermore, it is hard to recognize distortion because many AI models have a black box. character. One area that needs urgent attention are the robust validation processes, thorough examination, and integrity of data.  Conclusion- To sum up, AI has immense potential, but it needs to defend against because an unsecured AI can pose a risk. Reference-   "Adversarial Machine Learning: ...

Edge Computing: Revolutionizing Data Processing Body With the development of technology, there is an increase in data being created, and the conventional cloud computing models experience latency due to the need for data to be processed at a single center. This limitation is overcome by edge computing which extends data processing to the close vicinity of data sources bringing down delays, improving performance and speeding up the response time.  Use Cases of Edge Computing This is especially useful in the fields of IoT, autonomous vehicle, and smart buildings and cities which require real time data processing. Conclusion Since edge computing also eliminates the centralization of processing tasks, it lowers the bandwidth expenses as well as the chances of data misuse given that data processing can occur on the source site. There is a growing interest in the implementation of edge computing with the arrival of 5G networks, providing new avenues for sectors to handle data efficiently...