Automating Incident Response with Machine Learning - Seguridad Mania.com - España y América Latina

Incident Response is a key responsibility of any SecOps team whether they are sited locally, operating as a distributed group, or a function provided by an MSSP. With the sheer number of incidents they can face, it can be difficult for the team to stay ahead of the game. Fortunately, automation, based on AI-driven security analytics, can lighten the load and make the team more efficient, more effective, and better able to handle their workload. By applying artificial intelligence, the system can adapt and react to new threats even as they're developing. But beyond that, Machine Learning lets the system evolve over time, adjusting itself to the operational environment to optimize performance and efficacy. Join us as we explain how Gurucul's Unified Risk and Security Analytics platform uses machine learning and artificial intelligence to deliver advanced automated incident response.