KodeGlass offers an automated platform that continuously scans source code repositories, pull requests, and build pipelines for accidental exposure of secrets, credentials, and proprietary code. It integrates with GitHub, GitLab, Bitbucket, and CI/CD tools to provide line‑level alerts, remediation guidance, and a centralized compliance dashboard for security teams to manage and remediate leaks.
Funding
Funding not disclosed
Founders
Product
Problem
Software projects often unintentionally expose sensitive information such as API keys, credentials, and proprietary code through source repositories, configuration files, or build artifacts. These leaks can lead to security breaches, compliance violations, and financial loss for organizations.
Solution
KodeGlass provides an automated code‑leak detection platform that continuously scans source code, commit histories, and build pipelines for accidental exposure of secrets and proprietary assets. The service integrates with version‑control systems and CI/CD tools to identify leaks early, alert developers, and offer remediation guidance. Detected issues are cataloged in a secure dashboard where security teams can prioritize and track remediation efforts. By enforcing policies and providing real‑time feedback, KodeGlass helps organizations maintain a clean codebase and reduce the risk of data exposure.
Target Audience
Primary customers are software development teams, DevOps engineers, and security operations groups in enterprises that need to prevent accidental data exposure from their codebases.
Features
- Continuous scanning of repositories, pull requests, and build artifacts for hard‑coded secrets, credentials, and proprietary code
- Native integrations with GitHub, GitLab, Bitbucket, and major CI/CD platforms for automated detection in development workflows
- Contextual alerts with line‑level details and suggested remediation steps to fix leaks quickly
- Centralized compliance dashboard with policy enforcement, risk scoring, and audit logs for security governance
- Support for custom detection rules and regex patterns to address organization‑specific secret formats