No-Code EPSS-Powered Vulnerability Management in Budibase is a practical solution for prioritizing and accelerating vulnerability remediation without the need to write complex code. In this article, I explain how I implemented EPSS support and integrated this metric into filtering and analysis processes to improve efficiency in risk remediation.
EPSS, or Exploit Prediction Scoring System, provides an estimated probability that a vulnerability will be exploited in the real world. Integrating EPSS into a vulnerability management system allows resources to be focused on threats with the highest likelihood of exploitation, complementing traditional metrics such as CVSS and impact on critical assets.
Architecture and data flow: I connected Budibase to vulnerability data sources and the public EPSS API to enrich each record with an EPSS score. Data is stored in internal Budibase tables, and calculated fields are created that combine EPSS, CVSS, and asset criticality to obtain a composite risk score. This no-code approach allows security teams and system administrators to build filters and views without development dependencies.
Prioritization rules: I defined EPSS thresholds for automatic classification. For example, high EPSS and critical business asset generate incidents with maximum priority. For medium EPSS, additional validations are applied, and for low EPSS, periodic reviews are scheduled. These rules were implemented with native Budibase automations that generate tasks in ticketing tools or send notifications to response teams.
Filtering and analysis: controls were added to the application views to filter by EPSS range, responsible team, cloud service, and custom tags. Dynamic tables and charts were included to detect risk concentrations by aws and azure cloud service, by application, and by vulnerability type. Combining EPSS with business intelligence services facilitates prioritizing remediations according to real operational impact.
Remediation automation: when a vulnerability exceeds the defined threshold, Budibase triggers flows that create tickets in Jira or ServiceNow, assign owners, and attach contextual information such as recommended steps, patch links, and cybersecurity playbooks. AI agents can also be launched to suggest mitigation commands or run validation tests in controlled environments.
Dashboards and reporting: for advanced reporting, I integrated Budibase data with Power BI through connectors. The dashboards combine EPSS, temporal trends, mean time to remediate metrics, and patch effectiveness. This allows management and operations teams to make informed decisions and justify investments in cybersecurity and artificial intelligence applied to protection.
Operational considerations: caching of EPSS scores was implemented to minimize API calls, rate limit control, and secure credential management. Change audits and traceability were added for each remediation action. Privacy and regulatory compliance were maintained by segregating sensitive data and applying role-based access controls.
Benefits obtained: reduction in detection time for exploitable vulnerabilities, better alignment between business and security teams, prioritization based on real risk, and reduced effort on false positives. The no-code platform allowed rapid iteration of policies and views without development dependencies, accelerating the deployment of improvements.
Q2BSTUDIO brings experience in implementing similar solutions. As a custom software and application development company, specialized in artificial intelligence, cybersecurity, and aws and azure cloud services, we offer EPSS integration into no-code tools like Budibase, custom software development, business intelligence services, and AI projects for companies. We can design custom AI agents, create secure data pipelines, and develop Power BI dashboards to consolidate key indicators.
If you are looking for a complete solution that combines custom software, custom applications, artificial intelligence, cybersecurity, aws and azure cloud services, business intelligence services, AI agents, and Power BI to improve vulnerability management, Q2BSTUDIO can help you design, implement, and automate EPSS-based prioritization with a practical and scalable approach.
Practical summary of steps to replicate it in Budibase: 1 obtain EPSS scores via API and store them in tables, 2 create calculated fields that combine EPSS, CVSS, and criticality, 3 define filtering rules and thresholds for automations, 4 configure automations for ticket creation and notifications, 5 expose data to Power BI for advanced reporting, 6 monitor and adjust thresholds according to remediation metrics. This flow allows security teams to leverage EPSS without needing to develop complex solutions.
Contact and services: for consulting, custom software development, artificial intelligence integration, cybersecurity, aws and azure cloud services, business intelligence services, AI implementation for companies, AI agents, and Power BI dashboards, contact Q2BSTUDIO and we will help you put into production an effective, automated vulnerability management system oriented to real risk.
