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Description
CodeWall is an innovative platform that utilizes AI for autonomous penetration testing, enabling it to perpetually identify and validate security vulnerabilities within applications. In contrast to conventional penetration tests that occur at a single point in time, CodeWall employs AI agents that can independently map potential attack surfaces, execute real exploit chains, and provide confirmed proof-of-concept evidence, all while operating seamlessly within your ongoing change management and development processes.
Among its key features are automated reconnaissance and subdomain enumeration, multi-phase exploit chaining, authenticated testing capabilities, AI-driven vulnerability detection, and findings that are tagged for compliance. Additionally, it supports various environments including web applications, REST/GraphQL APIs, cloud infrastructures, and internal tools, and facilitates integration with CI/CD pipelines through both CLI and REST API. This continuous operation not only enhances security but also aligns with agile development practices.
Description
For those passionate about security, whether as a pentester or a cybersecurity researcher keen on discovering and exploiting vulnerabilities in AI technologies, LLMFuzzer serves as an ideal solution. This tool is designed to enhance the efficiency and effectiveness of your testing procedures. Comprehensive documentation is currently in development, which will include in-depth insights into the architecture, various fuzzing techniques, practical examples, and guidance on how to expand the tool's capabilities. Additionally, this resource aims to empower users to fully leverage LLMFuzzer's potential in their security assessments.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
JSON
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
CodeWall
Founded
2026
Country
United Kingdom
Website
codewall.ai
Vendor Details
Company Name
LLMFuzzer
Website
github.com/mnns/LLMFuzzer