Vulnerability Prioritization

Use AI to prioritize vulnerabilities by risk for faster, focused remediation and risk reduction

Business impact

• Mean Time to Detect (MTTD) — AI accelerates detection by continuously monitoring and validating vulnerabilities
• Mean Time to Respond (MTTR) — Prioritization enables faster response to highest-risk vulnerabilities reducing MTTR
• Vulnerability remediation rate — Focused efforts on critical issues increase the rate of vulnerability remediation
• Risk reduction — Prioritizing by risk exposure lowers overall organizational cybersecurity risk

Data requirements

• Vulnerability scanner outputs (Structured) — Provide raw vulnerability data for AI to analyze and prioritize
• Internal system architecture data (Structured) — Contextualizes vulnerabilities based on actual environment exposure
• Threat intelligence feeds (Text) — Supply real-time external threat data to assess exploitability and risk
• Historical incident and remediation logs (Text) — Help AI learn patterns and improve prioritization accuracy over time

AI methods and techniques

• Predictive AI — Forecasts risk and exploit likelihood to prioritize vulnerabilities effectively
• Generative AI — Generates contextual summaries and remediation recommendations for users

AI models and model families

GPT-4o, Claude, Llama

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Claroty, Stratascale.