Predictive Prioritization: Data Science Lets You Focus on the 3% of Vulnerabilities Lik

Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk.

Read the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to:

  • Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited
  • Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider
  • Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks 




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