AI in Cybersecurity Helping with Threat Hunting, Reducing Attack Vectors -- #ArtificialIntelligence #StartUp #iot #robotics #AI

The cybersecurity landscape is looking at higher than ever threat levels, data volumes quadrupling every 36 months, computing power and data transfer speeds increasing just as fast, and a diversity of IoT devices ushering in a new era of automation. To get a grip on this, more organizations are exploring how AI can help. The Next-generation security operations center (SOC) incorporates automation and orchestration -- automation applied to both defense operations and threat hunting incorporating AI and machine learning, and orchestration managing how multiple sets of tools and platforms work together. "AI and ML are not only used in a next-generation SOC to enhance detection and prevention activities, but also, increasingly, to augment incident response actions such as containment actions, ticket creation, and user engagement to triage and/or validate a suspicious action," stated John Harrison, Director, Cybersecurity Center of Excellence for Criterion, in an article he wrote for Nextgov. "The applications of AI and ML reduce the time spent on each alert and improve the Mean Time to Detect as well as the Mean Time to Repair."