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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 LLMFuzzer?

LLMFuzzer is the perfect tool for individuals who are enthusiastic about security, whether they are penetration testers or cybersecurity researchers focused on identifying and exploiting weaknesses in AI systems. This innovative solution aims to improve the efficiency and effectiveness of testing methodologies. Currently, extensive documentation is being created, which will provide detailed insights into the tool's architecture, various fuzzing methods, practical applications, and tips for enhancing its functionalities. This resource is intended to enable users to maximize LLMFuzzer's potential in their security evaluations, ensuring a comprehensive understanding of its capabilities. As a result, users can expect to refine their testing processes and contribute to the overall advancement of security in AI technologies.

Media

Media

Integrations Supported

Chromium
GitHub
JSON
Python

Integrations Supported

Chromium
GitHub
JSON
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
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

LLMFuzzer

Company Website

github.com/mnns/LLMFuzzer

Categories and Features

Categories and Features

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