Mend.io provides a comprehensive security platform designed to address the challenges of modern software development, specifically focusing on the intersection of application security (AppSec) and AI security. By unifying these domains, Mend.io helps organizations secure their code layer, AI models, and the expanding attack surface between them, providing continuous protection throughout the entire application lifecycle. The platform is designed to scale with enterprise needs while maintaining developer velocity.

Functionality of the platform revolves around providing full visibility and control over open-source dependencies, proprietary code, and AI-powered components. It enables security and development teams to detect vulnerabilities, prioritize risks based on actual exploitability, and automate remediation workflows. This unified approach replaces fragmented security toolsets with a single governance layer.

Some of the key features are:

• Mend AI: Delivers security for AI models and agents, including automated red teaming, system prompt hardening, and runtime guardrails.
• Mend AppSec: Combines static application security testing (SAST) and software composition analysis (SCA) with AI-powered code fixes to reduce remediation time.
• Mend Renovate Enterprise: Automates dependency management and updates across thousands of repositories to reduce technical debt and vulnerability exposure.
• Reachability Analysis: Determines if vulnerable code is actually reachable and exploitable, allowing teams to prioritize critical threats over theoretical risks.
• AI-BOM and SBOM: Generates and manages comprehensive software and AI bills of materials for enhanced supply chain transparency and regulatory compliance.
• Differential Scanning: Provides rapid, on-demand security feedback directly within developer workflows and repositories to prevent issues before they reach production.
• Policy Enforcement: Automates governance by defining and applying security and licensing rules across the development lifecycle.
• Runtime Protection: Implements active security controls and guardrails to monitor and block malicious behavior in live, production environments.

Operationally, Mend.io integrates directly into the developer experience, supporting common repository, IDE, and CI/CD tools. It shifts security left by scanning code at the point of commit or within AI coding assistants, providing developers with actionable insights and automated fixes that fit into existing workflows. This prevents security bottlenecks and minimizes context switching, enabling faster release cycles without compromising on security posture.

Some common use cases include:

• Securing AI-Powered Applications: Managing the unique risks posed by LLMs, agents, and shadow AI components in modern applications.
• Automated Vulnerability Remediation: Reducing MTTR by automatically generating and applying fixes for open-source and proprietary code vulnerabilities.
• Software Supply Chain Security: Ensuring build integrity by inventorying and scanning all dependencies, including third-party libraries and AI models.
• Regulatory Compliance: Providing auditable, structured evidence of security testing and inventory to meet requirements like the EU AI Act or Executive Order 14028.
• Managing Technical Debt: Automating the frequent updating of dependencies to keep codebases healthy, secure, and compatible with current standards.