AI-driven AppSec platform
Mend.ioAppSec is a proven platform that was established in 2011. Its AI-driven capabilities have attracted attention from Gartner, Forrester, and others, and it has received numerous awards, including the Cyber Security Excellence Awards.
- Source code vulnerability detection(SAST, static testing)
- Library risk detection(Software configuration analysis such as SCA and SBOM creation)
- Scanning container images
- Dependency updates
- Security of AI components within the application
codeやOSS、containerIt scans every component of the application to accurately and quickly identify vulnerabilities.
- Fast and scalable scanning
- Generating and outputting a comprehensive SBOM (Software Bill of Materials)
- Highly accurate risk visualization through "accessibility" analysis.
- Preventing the leakage of confidential information and detecting malicious packages
- Automated analysis of license compliance
- Code-level fix suggestions for developers
- Seamless integration with container and Kubernetes environments
Mend AIThis feature visualizes risks specific to AI components embedded in applications, supporting the safe use of AI.
- AI-BOM (AI Bill of Materials)Create
This visualizes and lists all AI components used within the application. - AI-specific risk detection
We accurately identify known vulnerabilities, malicious packages, and licensing risks. - Protecting settings
This ensures security in the configuration (settings) of the AI agent.
Mend AI Premium(Paid add-on) For environments requiring even more advanced AI security, we offer the following additional features:
- Detailed security report
This tool outputs a detection report summarizing the risks inherent in AI models. - System prompt protection
We are strengthening the security of system prompts to prevent prompt injection and other attacks. - AI Red Teaming
By intentionally sending malicious prompts, we can practically test and verify the weaknesses and vulnerabilities of AI models.
MendRenovateThis tool automatically detects outdated dependencies (such as libraries) and creates pull requests for updates.
The most notable feature is the "Merge Confidence" function, which predicts whether the application will function correctly (whether compatibility will be broken) after an update. This score is calculated based on the following objective data:
- Number of days since release
- Usage history (adoption rate) among other Renovate users
- Automated test pass rate for the relevant package
This feature efficiently reduces technical debt and allows development teams to confidently implement updates without worrying about the risk of system downtime.
