Bid Data and AI to Reduce the Cybercrime
The virtual world experiences a never-ending competition between hackers and makers of cyberlaw. To elaborate, cybercriminals are always wary of the latest laws that are being created to protect the cyberspace; they manage to get ahead of every rule and pose a threat to the huge chunks of data being exchanged on a daily basis. The scariest part is that most of the time cybersecurity professionals are unable to predict what the next step of the cybercriminals will be.
However, the steady rise of cybersecurity analytics has made it plausible for professionals to take charge of the situation. The aim is to find the gap between the planning and execution of the crime by leveraging artificial intelligence (AI) and big data in order to mitigate the future risks in the virtual space.
One of the widely believed notions is that cybersecurity is a defensive activity that takes place only when a crime has been committed; a cybersecurity team is employed to track the source and type of the crime and assess the intensity of the damage it has caused and appropriate actions are undertaken. However, the belief has now largely been reformed due to the recent events in the cybersecurity space. By deploying AI and big data, cybersecurity professionals can now predict the next step that can be taken by the criminals. This will be done by tracking crimes via cybersecurity analysis, which utilizes big data and AI to perform predictive analysis of when and how cybercrimes are likely to occur. This will further strengthen the planning and execution processes in eliminating cybercrimes.