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Understanding Vulnerability Intelligence
Vulnerability Management is a tried-and-true process for helping organizations identify, evaluate, and treat security vulnerabilities in their systems and software. It can be applied to endpoints, databases, applications, and more.
Key components of vulnerability management
- AssessmentIdentify and assign severity levels to security defects, whether through automated or manual techniques.
- ScanningUse scanners to identify known and potential security vulnerabilities.
- RemediationDetect, correct, and patch vulnerabilities in a system or network.
- CVEsIndustry-recognized identifiers for known security vulnerabilities.
But what does it mean for your network infrastructure?
Network infrastructure is more challenging. As networks become more complex, vulnerabilities increase, putting pressure on teams to identify and address these issues. Traditional vulnerability management methods don't cut it.
The scale of the problem
40,009
CVEs published in 2024 — a 38% increase on 2023
56%
of breaches came from a known, unaddressed vulnerability
60%
of IT security teams spend more time navigating manual processes than responding to vulnerabilities
Three reasons traditional methods fall short
- Massive volume of vulnerabilitiesThousands of CVEs are added monthly, complicating manual management along with data from CISA and vendor sites.
- Contextualization complexityManaging a multivendor network is complex and error-prone. You need an accurate inventory, analyze CVE data to assess vulnerabilities, and then prioritize.
- Manual interventionAddressing CVEs requires OS updates or configuration changes, which are complicated, time-consuming, and require after-hours work.
Vulnerability intelligence is crucial for network integrity
It focuses on identifying and analyzing new vulnerabilities and exploits cyber criminals might use — vulnerabilities, data collection, analysis and prioritization, and dissemination and action. Vulnerability intelligence enables organizations to address potential risks proactively.
What network vulnerability intelligence includes
- Discovery and mappingMap your network configuration inventory against an AI-powered threat intelligence feed using CVEs to assess the threat level.
- Risk level and analyticsUtilize risk levels, update recommendations, and end-of-life information to propose automations that address active exploits in the wild or on the dark web, helping to prioritize device patching based on their risk.
- Remediation prioritized by risk analysisUtilize natural language processing to understand vendor mitigation and remediation instructions and provide detailed guidance and automation in one pane of glass.
- Close loop between identification and remediationStreamline the process for tracking, scoring, and remediating vulnerabilities, ensuring automation to address identified vulnerabilities with minimal effort.
- CVE mitigationExamine device configuration files for specific vulnerable configurations to assess the relevance of any given CVE. If a vulnerability is identified, it can be addressed using automation.
Discover the advantages of Kilter today
Schedule a 30-minute demo for an interactive tour of the platform, and we will show you vulnerability intelligence running against a network like yours.