"AI, Machine Learning to Help Defend Against Cyberattacks"

Artificial Intelligence (AI) and Machine Learning (ML) are two tools helping cybersecurity professionals deal with the growing volume of threats and cyberattacks. Cybersecurity professionals are using AI and ML to detect new malware, fraudulent credit card charges, fraudulent network login attempts, and more. These tools are also being used to block phishing messages on email services and help companies with cloud management detect anomalies that traditional cyber defense technologies may not detect. Although AI and ML security methods are still in their infancy, they have been proven to be useful in helping analysts find vulnerabilities in large datasets. However, some cybercriminals are using some of the same advanced tools, such as AI and ML, to carry out cyberattacks. Amanda Fennell, an information technology and cybersecurity expert in Tulane University's School of Professional Advancement, has talked about how institutions are using AI and ML for data and system protection, and how hackers are using these tools against them. This article continues to discuss the use of AI and ML to help cybersecurity professionals defend against cyberattacks, how hackers are using these same tools, and Fennell's thoughts on AI showing promise for security. 

Homeland Security News Wire reports "AI, Machine Learning to Help Defend Against Cyberattacks"