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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.
Description
OutcomeOps serves as a Context Engineering platform tailored for enterprise software teams, allowing seamless deployment through Terraform directly within your AWS account—ensuring that infrastructure remains private and that no data exits your environment.
This platform offers two primary features built upon a shared knowledge base:
Organizational Intelligence enables integration with tools like GitHub, Confluence, Jira, SharePoint, Outlook, and MS Teams, allowing users to pose inquiries in simple language and receive cited responses synthesized from various sources in mere seconds. Additionally, auto-generated code maps render your entire codebase easily searchable without the need to manually sift through files.
AI Engineering transforms issues from GitHub and tickets from Jira into production-ready pull requests that include code, testing, and infrastructure, all aligned with your specific Architectural Decision Records (ADRs) and organizational standards. This isn't just a mere autocomplete function; it offers comprehensive feature generation while upholding your company's development patterns.
Furthermore, it accommodates multiple programming languages, including SAP's ABAP, and the average cost for feature generation is between $2 and $4 in AWS Bedrock fees, billed directly to AWS. Designed for single-tenant environments, it is also prepared for air-gap scenarios, emphasizing security and efficiency in enterprise operations.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Confluence
Docusign
Gmail
Google Drive
Jira
Microsoft 365
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Microsoft Teams
Integrations
Confluence
Docusign
Gmail
Google Drive
Jira
Microsoft 365
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Microsoft Teams
Pricing Details
$0
Free Trial
Free Version
Pricing Details
No price information available.
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
NMA
Founded
2015
Country
Germany
Website
etalon.nma.vc
Vendor Details
Company Name
OutcomeOps
Founded
2025
Country
United States
Website
www.outcomeops.ai
Product Features
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification