Loading SaaS profile...
Mend.io
Application security platform protecting open-source dependencies, custom code, and AI.
What it does
• Scans custom code, open-source packages, containers, and IaC templates for security vulnerabilities and misconfigurations. • Generates automated remediation suggestions and automated pull requests (via Renovate) to fix vulnerable dependencies. • Discovers, inventories, and governs AI models, components, system prompts, and shadow AI usage. • Conducts reachability analysis and threat prioritization using EPSS scoring to focus remediation on exploitable flaws.
Why it works
Automated dependency updates via Mend Renovate maintain code hygiene before vulnerabilities emerge. CVE reachability analysis filters out unexploitable vulnerabilities, preventing developer alert fatigue. Seamless SCM and IDE integrations allow developers to fix code issues directly within native workflows. Unified application and AI component inventory ensures compliance with CRA, NIST, and EU AI Act mandates.
Category: Utilities & System Tools
Team Size: 100+
Visit Website
As of 2026
Utilities & System Tools
Revenue: $10M-100M ARR
Application security platform protecting open-source dependencies, custom code, and AI.
Overview
Mend.io (formerly WhiteSource) is an enterprise application security and AI platform that automates vulnerability management and code remediation. It provides static application security testing (SAST), software composition analysis (SCA), container security, and AI security governance across the developer lifecycle. By correlating custom code flaws, open-source CVEs, and shadow AI usage, Mend.io prioritizes reachability and generates automated remediation pull requests to reduce application risk.
Funding status: Funded
Revenue source: Subscriptions
Customer type: B2B
Pricing: Enterprise
Tech stack: Java, React, Node.js, Python, AWS, Docker
Platform: Web
Integrations: GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, Jira, AWS, Docker, Kubernetes, IDEs (VS Code, IntelliJ)
Founder story
Mend.io was originally founded in 2011 in Tel Aviv, Israel, as WhiteSource by Rami Sass, Ron Rymon, and Azi Cohen. Recognizing that software developers were spending excessive time manually managing open-source licenses and vulnerability alerts, they built an automated software composition analysis engine. The company rebranded to Mend.io in 2022 to reflect its shift from passive detection to automated security remediation.
What it does
- • Scans custom code, open-source packages, containers, and IaC templates for security vulnerabilities and misconfigurations
- • Generates automated remediation suggestions and automated pull requests (via Renovate) to fix vulnerable dependencies
- • Discovers, inventories, and governs AI models, components, system prompts, and shadow AI usage
- • Conducts reachability analysis and threat prioritization using EPSS scoring to focus remediation on exploitable flaws.
Who it's for
- Enterprise Security Teams
- DevSecOps Engineers
- Software Development Managers
- Compliance & Governance Officers
Why it works
- Automated dependency updates via Mend Renovate maintain code hygiene before vulnerabilities emerge
- CVE reachability analysis filters out unexploitable vulnerabilities, preventing developer alert fatigue
- Seamless SCM and IDE integrations allow developers to fix code issues directly within native workflows
- Unified application and AI component inventory ensures compliance with CRA, NIST, and EU AI Act mandates.
Growth strategies
- Maintain the open- source Renovate dependency management ecosystem to drive commercial enterprise pipeline.
- Rebrand from WhiteSource to Mend.io to position the platform around proactive remediation rather than static alert logging.
- Expand AppSec capabilities into AI security governance, red teaming, and runtime protection.
- Partner with major cloud marketplaces like AWS, Azure DevOps, and GitHub to streamline enterprise procurement.
Alternatives
Comparison overview
- Focuses on automated remediation and dependency updates via Mend Renovate rather than static vulnerability reporting.
- Integrates AI security governance alongside traditional SAST and SCA in a single unified platform.
- Utilizes call-graph reachability testing to filter out unexploitable vulnerable dependencies.