Glev

Glev develops a remediation-focused application security platform designed to help engineering and security teams manage vulnerability backlogs generated by code scanning tools. The platform aggregates findings from multiple sources, including SAST, SCA, infrastructure-as-code scanners, secrets detection, penetration tests, and bug bounty programs, into a single unified view. The product deduplicates and cleans alerts across these tools to reduce noise, then applies context-aware analysis based on code and architecture to prioritize issues according to actual risk rather than generic severity scores such as CVSS. It uses large language model-based exploitability analysis to help filter out false positives, and groups related findings into consolidated remediation tasks intended to reduce redundant work for developers. Glev also provides context-aware remediation guidance aimed at fitting existing coding practices, and integrates into developer workflows and tools rather than operating as a standalone dashboard. Over time, the platform captures an organization's code context, security practices, and prior remediation decisions to build a knowledge base intended to inform future prioritization and fixes. The company targets AppSec engineers, security teams, and CISOs at software organizations dealing with large volumes of unresolved code security findings, positioning its offering as a layer that sits between vulnerability detection tools and development teams responsible for remediation.