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What is zauth?

Zauth acts as a robust security solution for the agentic internet, striving to identify vulnerabilities before they can be exploited, evaluate code reliability prior to gaining trust, and verify endpoints before agents process payments. As the agentic internet advances swiftly, surpassing existing security protocols, Zauth tackles vulnerabilities linked to flawed endpoints, insecure applications, and unverified code repositories. At the heart of its trust framework is Vector, an autonomous pentesting tool that functions within a completely isolated container and comes equipped with a dedicated Chromium browser, bash access, a disposable email account, and a crypto wallet. By merely directing Vector to any URL, it autonomously performs reconnaissance, tests for potential exploits, and produces comprehensive reports, thereby simplifying the pentesting process significantly. In addition, RepoScan is tailored to scrutinize GitHub repositories by detecting duplicated code, validating code sources, and assessing project authenticity, effectively providing users with a trust score before they proceed with deployment, investment, or integration. Moreover, Provider Hub and Database aid teams in managing and monitoring x402 endpoints, offering features like real-time uptime monitoring, latency assessment, and immediate alerts for failures to boost operational efficiency. Ultimately, Zauth is committed to strengthening the infrastructure of the agentic internet while ensuring that security measures evolve in tandem with its rapid growth, thereby creating a safer online environment for all users. This comprehensive approach not only enhances security but also fosters greater trust among stakeholders in the digital landscape.

What is Card Recon?

Card Recon, developed by Ground Labs, stands out as the go-to cardholder data discovery solution for over 300 PCI Qualified Secure Assessors (QSAs) and PCI Forensic Investigators (PFIs). This tool is widely recognized and utilized in more than 80 countries, with over 4,500 merchants relying on it for efficient credit card data discovery. Ground Labs provides two top-tier scanning options tailored for small to medium-sized businesses: Card Recon Server and Card Recon Desktop. The software effectively scans through files, memory, and even deleted locations on both workstations and file servers (specifically with Card Recon Server), meticulously examining hundreds of file types to pinpoint credit card numbers from the ten leading payment card companies. Moreover, Card Recon boasts custom-built capabilities for PCI compliance data detection, adeptly identifying credit card numbers from major card brands and recognizing over 160 unique primary account number (PAN) formats worldwide. This level of precision and reliability makes Card Recon an indispensable tool for businesses aiming to maintain compliance and protect customer data.

Media

Media

Integrations Supported

Chromium
GitHub

Integrations Supported

Chromium
GitHub

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

zauth

Date Founded

2025

Company Location

United States

Company Website

www.zauth.inc/

Company Facts

Organization Name

Ground Labs

Company Location

United States

Company Website

www.groundlabs.com

Categories and Features

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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