A recent article published in Forbes highlighted 60 cybersecurity predictions for 2019. Among those predictions was the use of Artificial Intelligence (AI) and Machine Learning (ML) as “dual-use” technologies. Many of us now have AI or ML solutions such as Amazon’s Alexa, Google Home, Nest, or other smart home systems, video doorbells, and smartphones to make daily activities more convenient. Smart home systems and other AI can learn temperature regulation tendencies, alert us when a package has been delivered, lock and unlock doors and smartphones using facial recognition software, and even make grocery lists.
As the possibilities increase for using AI/ML in our personal lives and in the workplace, hackers and cybercriminals are in the early stages of leveraging this same technology to lure or socially engineer victims.
However, AI/ML I also used to defend against cybersecurity attacks. Automated prevention methods that are designed to evaluate the integrity of incoming emails is just one example of how AI/ML is helping to reduce the threats and prevent attacks before they strike. In other words, “Machine Learning will help filter out the noise.”