All of the previous nine evolving technologies that Gartner predicts will change the IT landscape will create security vulnerabilities in new potential points of attack. Security teams will need to address new challenges and be aware of how AI will impact the security space. Gartner said there are three key areas to explore when considering how AI is impacting security: protecting AI-powered systems, leveraging AI to enhance security defense, and anticipating dangerous use of AI by attackers.
Through 2022, 30 percent of all AI cyberattacks will leverage training-data poisoning, AI model theft or adversarial samples to attack AI-powered systems. Training data-poisoning is when hackers get access to training data and cause an AI system to fail by feeding it incorrect data.
The next frontier of AI-related security concerns is emerging as attackers begin to use machine learning (ML) and other AI techniques to power their attacks. Gartner said every new, exciting innovation in ML can and will be used in a dangerous manner. Organizations will need to understand how hackers may attack security solutions based on ML at training and prediction stages.