Preventing Advanced Attacks: Build a Single Sign-on Architecture Using AI and Machine Learning
The breach prevention used to rely heavily on static, signature-based detection. This is no longer an approach that will keep even simple threats out of your environment. This session will explain how AI, deception and dynamic behavioral analysis can enable organizations to prevent advanced attacks including ransomware, fileless malware, and never-before-seen threats.
The sessions will walk through such novel attacks and how an enterprise can implement countermeasures and defense techniques using AI and Machine Learning.
The session details:
- Focus on the machine learning models and techniques to identify unknown-unknown cybersecurity risk categories;
- Understand best ways to do cybersecurity incident profiling;
- How AI & ML can be part of a single architecture to protect against complex threats.
