Security teams often struggle to quickly assess new vulnerabilities because data is dispersed across multiple sources. This slows response and increases the chance of missing critical information. Gruve’s AI agents streamline the process by collecting, correlating, and validating vulnerability data and mapping it directly to the customer’s technology stack.
Research time
Reduction in
manual effort
Delivery of prioritized
action plans with
business impact insights
An organization needing rapid evaluation of newly published vulnerabilities and clear visibility into how they affect its internal asset inventory and technology stack.
Security teams must assess new vulnerabilities quickly, but manual data gathering from scattered sources creates delays and increases the risk of missing important details. This slows down decision-making and remediation planning.
AI agents gather vulnerability data from sources such as NVD, threat intelligence feeds, and cybersecurity blogs.
The system correlates data across sources and prioritizes vulnerabilities based on relevance.
Vulnerabilities are validated against the customer’s internal asset inventory and technology stack to determine actual exposure.
The system provides tailored remediation steps and a clear understanding of business impact.
By automating vulnerability research, correlation, and environment-specific validation, Gruve drastically reduces manual workload and speeds up the assessment process. Security teams receive prioritized action plans with relevant business impact, enabling faster and more informed remediation.
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