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Average Ratings 0 Ratings

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features
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support

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Description

Protect AI conducts comprehensive security assessments throughout your machine learning lifecycle, ensuring that your AI applications and models are both secure and compliant. It is crucial for enterprises to comprehend the distinct vulnerabilities present in their AI and ML systems throughout the entire lifecycle and to take swift action to mitigate any potential risks. Our offerings deliver enhanced threat visibility, effective security testing, and robust remediation strategies. Jupyter Notebooks serve as an invaluable resource for data scientists, enabling them to explore datasets, develop models, assess experiments, and collaborate by sharing findings with colleagues. These notebooks encompass live code, visualizations, data, and explanatory text, but they also present various security vulnerabilities that existing cybersecurity solutions may not adequately address. NB Defense is a complimentary tool that swiftly scans individual notebooks or entire repositories to uncover common security flaws, pinpoint issues, and provide guidance on how to resolve them effectively. By utilizing such tools, organizations can significantly enhance their overall security posture while leveraging the powerful capabilities of Jupyter Notebooks.

Description

The MCP Census serves as a web-based platform for validating evidence for developers and teams leveraging Model Context Protocol (MCP) servers. It assesses server listings by cross-referencing them with various public indicators, including repository identification, package availability, endpoint health, registry information, and vulnerability announcements. Users have the option to either search for a specific server or submit an MCP configuration, receiving results categorized as PASS, REVIEW, BLOCK, or UNKNOWN, along with justifications and supporting evidence based on a versioned policy. This service is readily available through a dedicated website, REST API, and remote MCP server, making it suitable for integration into agent workflows and continuous integration processes for monitoring configuration changes. Comprehensive setup guides facilitate its connection to development tools and coding agents. Importantly, the MCP Census functions as a preliminary public-evidence filter rather than a malware detection system, penetration testing solution, or a definitive assurance of a server's safety for use. As such, it is crucial for developers to understand its intended purpose and limitations.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

GitHub Actions No 
Model Context Protocol (MCP) No 

Integrations

GitHub Actions Yes 
Model Context Protocol (MCP) Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0
The no-account tier allows 10 lookups per day. A free account includes 1,000 credits per month. Builder costs $19/month, and Team costs $49/month. One-time credit packs cost $9 for 1,000 credits.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Palo Alto Networks

Country

United States

Website

protectai.com

Vendor Details

Company Name

MCP Census

Country

Australia

Website

mcpcensus.com

Product Features

Cybersecurity

AI / Machine Learning No 
Behavioral Analytics No 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning No 
Whitelisting / Blacklisting No 

Product Features

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