Artificial Cognitive Intelligence and Information Technology in Cybersecurity

Cognitive intelligence is intelligence exhibited by the process of acquiring knowledge and understanding through sense and thought processes. Cognitive intelligence in cybersecurity includes understanding the prospect of protection of digital devices, computer networks, websites, and cloud computing from both external and internal threats. Cyber threats like phishing, smishing, and data theft cause threats to business processes. In today’s day and age mobile, social networking and IoT are generating huge amounts of data. Analysis of the large volume of data helps in identifying the different attack vectors and their behavior pattern. It further can exceed the cognitive skills of security systems, rules, and protocols in organizations to keep the system more secure. Security analysts are now gathering huge amounts of data on users, networks, and transaction details. The captured data may reveal weak spots, hidden patterns, or disguised malicious activities. Evaluating and contemplating the underlying meaning of data is time-consuming and can be missed easily. In this paper, we are suggesting a few machine learning-based approaches to find the correlation between the data. This paper presents a cognitive classifier model that integrates machine learning with the data obtained from networks, web servers, logs, and cognitive processes to generate insight and knowledge which can be used to make the response actions better and more secure.