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Description

Cisco AI Defense represents an all-encompassing security framework aimed at empowering businesses to securely create, implement, and leverage AI technologies. It effectively tackles significant security issues like shadow AI, which refers to the unauthorized utilization of third-party generative AI applications, alongside enhancing application security by ensuring comprehensive visibility into AI resources and instituting controls to avert data breaches and reduce potential threats. Among its principal features are AI Access, which allows for the management of third-party AI applications; AI Model and Application Validation, which performs automated assessments for vulnerabilities; AI Runtime Protection, which provides real-time safeguards against adversarial threats; and AI Cloud Visibility, which catalogs AI models and data sources across various distributed settings. By harnessing Cisco's capabilities in network-layer visibility and ongoing threat intelligence enhancements, AI Defense guarantees strong defense against the continuously changing risks associated with AI technology, thus fostering a safer environment for innovation and growth. Moreover, this solution not only protects existing assets but also promotes a proactive approach to identifying and mitigating future threats.

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

Agent Control Yes 
GitHub Actions No 
Model Context Protocol (MCP) No 

Integrations

Agent Control No 
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 Yes 
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

Cisco

Founded

1984

Country

United States

Website

www.cisco.com/site/us/en/products/security/ai-defense/index.html

Vendor Details

Company Name

MCP Census

Country

Australia

Website

mcpcensus.com

Product Features

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