
Glev
Glev.ai provides a code vulnerability operations center that centralizes and prioritizes security findings from SAST, SCA, IaC, secrets, pentests, and bug bounty tools. Its AI-driven remediation engine transforms raw alerts into actionable, prioritized work items while continuously learning from past fixes to build a compounding security knowledge base. The platform helps development teams eliminate false positives and reduce application security debt.
- Artificial Intelligence
- Cybersecurity
- Developer Tools
- Software Only
Funding
Founders
Product
Problem
Development teams face overwhelming volumes of security alerts from multiple scanning tools, with a team of 20 developers potentially accumulating over 2,000 security issues, each taking up to an hour to analyze and remediate. CVSS-based prioritization fails to reflect real risk, false positives flood developers, and generic remediation advice doesn't fit actual code practices, creating an unmanageable application security debt that grows harder to repay over time.
Solution
Glev provides a Code Vulnerability Operations Center that centralizes all security findings—from SAST, SCA, IaC, secrets, pentests, and bug bounty tools—into one unified view. The platform cleans and deduplicates alerts across tools, eliminating noise, and ranks issues by analyzing them in the context of the codebase and architecture. An Agile Remediation Engine transforms raw findings into actionable, prioritized remediation work that integrates into developer workflows, while an AI Builder captures code context, security practices, and past decisions to create a living memory of the organization's AppSec expertise that continuously learns from every fix and exception.
Target Audience
Primary customers are AppSec engineers and development teams at technology companies that need to manage application security risk, satisfy client and compliance requirements, and reduce the burden of security debt across their codebases.
Features
- Unified vulnerability management that centralizes results from SAST, SCA, IaC, secrets scanning, pentests, and bug bounty programs in a single view
- Automated alert cleaning and deduplication across multiple security tools to eliminate noise and false positives
- Context-aware prioritization that analyzes issues within the specific codebase and architecture rather than relying solely on CVSS scores
- Agile Remediation Engine that converts raw findings into prioritized, actionable work items integrated into existing developer workflows
- AI-powered knowledge base that learns from past fixes, patterns, and exceptions to build a compounding security asset unique to each organization