The security threat landscape is evolving fast and continues to be challenging for defenders. Even though more sophisticated approaches using Machine Learning (ML) are growing in importance, they are difficult for non-experts to adapt to their particular use case and require sufficient training data. There is growing reliance on inflexible analytics and ML tools and the burden grows on security analysts to be data scientists.
This (ISC)² and Sumo Logic webinar on April 12, 2022 at 1:00 p.m. Eastern/10:00 a.m., Pacific will cover:
• How can non-experts leverage and benefit from using ML in security
• Leveraging ML for security services that address the expertise problem by adapting ML to security use cases
• Solving the data problem by pooling or crowdsourcing across the customer base
• How to use Cloud MLOps with Cloud SIEM to help address current and emerging threats.