The reach of Artificial Intelligence can affect many industries, but its appearance will be acutely felt within both Cybersecurity threats and the strength of systems to defend against threats. The various processes that identify attacks and perform functions against those attacks can be improved with AI that is predictive and covers a lot of scenarios.
There’s a new field of data deception tech that can use AI to spot activity that fits the pattern of an attack since most intrusions occur in an abnormal manner. Automated deception tools can send out decoys to trap attackers, are easier to deploy by lower-level IT staff. There are also robo-hunters which proactively search the environment for threats or exposed areas in an intelligent manner. Several organizations are already starting to utilize AI to boost Cybersecurity and provide more protections against sophisticated hackers. In the broadest sense, Artificial Intelligence is needed to help manage the sheer size of potential threats coming from IoT (Internet of Things) and other new technologies. The number of threat vectors becomes unwieldy for non-AI systems to handle due to their complexity.
AI helps advance Cybersecurity by automating complex processes for identifying attacks and reacting to breaches. This will advance incident monitoring that is crucial because the speed of detection and the subsequent response are necessary for restraining damages. AI can also mean automated responses to certain attacks without needing a human hand involved. People will still want to assess the response and make any adjustments, but better Artificial Intelligence will create better responses and results. AI can also be employed within human behavior monitoring to detect how people access their passwords, or the character length of the password, in order to spot bad practices. Ideally, such human-centered tools can remove users’ error from the equation, as it is a common entry point for Cyber attackers.