SAFE Description
Currently, the typical CISO at a Fortune 2000 company manages an average of 12 different cybersecurity solutions, resulting in a fragmented view with numerous dashboards but no centralized aggregation point. This situation often leads to the inability to demonstrate a clear return on investment for many cybersecurity purchases. A significant gap exists in assessing the organization's cyber resilience, as there's no concrete measurement of the changes from the state before implementing a product to its condition afterward. Furthermore, the absence of industry standards for evaluating the effectiveness of cybersecurity product implementations exacerbates the issue. SAFE offers a solution by allowing organizations to forecast potential cyber breaches, effectively consolidating signals from their existing cybersecurity tools, external threat intelligence, and relevant business context. The system incorporates information into a supervised Machine Learning Bayesian Network designed to predict breach likelihood, providing valuable scores, prioritized actionable insights, and a clear assessment of the risks that the organization faces, thereby enhancing overall security posture. By utilizing SAFE, companies can improve their cybersecurity strategy and make more informed decisions in a complex threat landscape.
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