Artificial intelligence (AI) and machine learning (ML) are now part of our everyday lives, and this includes cybersecurity. In the right hands, AI/ML can identify vulnerabilities and reduce incident response time. But in cybercriminals' hands, they can create significant harm. Here are seven positive and seven negative ways AI/ML is impacting cybersecurity. AI/MI is used in network traffic analysis, intrusion detection systems, intrusion prevention systems, secure access service edge, user and entity behavior analytics, and most technology domains described in Gartner's Impact Radar for Security.

In the right hands, artificial intelligence and machine learning can enrich our cyber defenses. In the wrong hands, they can create significant harm.