Contextual Vulnerability Prioritization & Remediation Across the Attack Surface

Difficulty in determining the right priority for patching vulnerabilities continues to be a challenge for both vulnerability and even security operations teams. The key is to determine which vulnerabilities are the most applicable to your environment, have the potential to be exploited and could cause the most damage. This is where it critical to go beyond current vulnerability management solutions by unifying visibility across all assets and effectively scoring and prioritizing vulnerability risk based on full context across all attack surfaces. In this demo we’ll show you how Gurucul can enrich your vulnerability scan results with telemetry across your entire attack surface. In addition, we’ll show you how we apply Risk-Chain Analysis powered by machine learning models to generate a risk score that is driven by contextual analysis of your entire attack surface combined with external vulnerability and threat intelligence. Lastly, we’ll show you how to generate prioritized playbooks for patching assets that are of the most immediate need to protect the organization from exploitation.