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Description
Uncover security weaknesses within a codebase using CodeQL, our premier semantic analysis tool for code. CodeQL empowers you to treat code as if it were data, enabling the writing of queries to identify every variant of a vulnerability, thereby eliminating it for good. By sharing your findings, you can assist others in this vital task. CodeQL is available at no cost for both research and open source projects. Execute real queries against widely-used open source codebases with CodeQL integrated into Visual Studio Code, experiencing firsthand the effectiveness of identifying poor coding practices and pinpointing similar issues throughout the entire codebase. You also have the option to create your own CodeQL databases for any project that complies with an OSI-approved open source license. It’s important to note that GitHub CodeQL is restricted to use on codebases that are either released under an OSI-approved open source license, utilized for academic research, or employed to generate CodeQL databases for automated analyses. To get started, simply download and incorporate the project's CodeQL database into VS Code, or generate a CodeQL database using the CodeQL command-line interface, allowing you to enhance your code's security comprehensively. Utilizing CodeQL not only improves your project but contributes to a safer coding environment for everyone.
Description
ETALON is a privacy auditing platform built for developers and AI-powered coding agents who need to detect data privacy risks within applications. Delivered as a Rust-based command-line tool, it performs deep analysis of source code, configuration files, and live websites. The system uses six parallel scanners to inspect code imports, database schemas, server behavior, DNS records, and tracking technologies. It identifies privacy concerns such as unauthorized trackers, cookie misconfigurations, and server-side analytics that bypass consent mechanisms. ETALON’s domain registry tracks more than 111,000 known tracking domains and vendor services, enabling accurate identification of third-party data flows. Every detected issue is enriched with GDPR references, severity scores, and contextual insights to help developers understand compliance implications. The platform can also automatically generate GDPR-ready privacy policies by analyzing the technologies and data processing patterns present in the codebase. A built-in website scanner runs through headless Chromium to detect frameworks, intercept network requests, and verify consent banner behavior. ETALON integrates with AI development tools through the Model Context Protocol, allowing AI assistants to audit pull requests and suggest privacy fixes. By combining static analysis, live scanning, and AI integration, ETALON provides a comprehensive solution for privacy engineering.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
GitHub
Java
Opsera
Visual Studio Code
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GitHub
Founded
2008
Country
United States
Website
codeql.github.com
Vendor Details
Company Name
NMA
Founded
2015
Country
Germany
Website
etalon.nma.vc
Product Features
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management
Product Features
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification