SAFE Description
A Fortune 2000 CISO uses on average 12 cybersecurity products in their environment. They have 12 dashboards that tell them what's wrong, but no place to consolidate them all. Most cybersecurity products are not worth the cost. There is no clear difference in the organizational's cyber resilience between the "before" and "after" implementation of the product. There is no industry standard for assessing the quality of cybersecurity products' implementation. SAFE allows organizations to predict cyber attacks in their environment by contextually aggregating signals from external threat intelligence, cybersecurity products, and the business context. This data is fed into a machine learning-based breach likelihood prediction engine using Machine Learning Bayesian Networks. It gives scores, prioritized insights and the risk that the organization faces.
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