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What is CINS?

With the growth of our fleet of Sentinel IPS units, we have come to appreciate the significant insights gained from the attack data we gather, which serves not just our clients but also the entire community at large. To make the most of this valuable information, we have introduced the Collective Intelligence Network Security (CINS, amusingly pronounced "sins") initiative, which is designed to substantially improve the security of our customers' networks. Additionally, we take pride in sharing this vital information freely with the InfoSec community. Our CINS framework continuously compiles attack data from all deployed Sentinel units, allowing us to calculate a CINS Score for each flagged IP address. This score functions much like a FICO score that assesses creditworthiness; in this case, it gauges the trustworthiness and security of an IP address. In tandem with the CINS Score, we provide relevant details such as the IP address's whois information, its geographical origin, and an in-depth examination of its attack patterns—covering aspects like type, frequency, and impact across the Sentinel network. This initiative plays a crucial role not only in fortifying individual network defenses but also in enhancing the collective strength of the cybersecurity ecosystem, paving the way for a safer digital environment. By sharing insights derived from extensive data analysis, we foster collaboration and innovation within the security community.

What is Bot Sentinel?

Bot Sentinel prioritizes user-friendliness while delivering in-depth information. We enhance understanding by transparently presenting detailed data on the Twitter accounts we monitor, which helps illustrate how harmful accounts spread misinformation and target individuals. Our dedication to transparency guarantees that users gain significant insights from the data we provide. As an unbiased platform, we oversee all accounts without favoritism. By leveraging cutting-edge machine learning and artificial intelligence, we systematically categorize Twitter accounts and present them in a publicly accessible database for anyone to review. Our model was crafted through the analysis of thousands of accounts and millions of tweets, resulting in an impressive 95% accuracy rate in classification. Unlike many other machine learning tools that primarily identify “bots,” our strategy focuses on recognizing particular behaviors and activities that breach Twitter's guidelines, enabling us to tackle the issue with greater effectiveness. By emphasizing these behaviors, we strive to foster a healthier online environment, encouraging more respectful interactions among users. Ultimately, our goal is to empower users with the knowledge necessary to navigate social media responsibly.

Media

Media

Integrations Supported

ThreatBlockr
X (Twitter)

Integrations Supported

ThreatBlockr
X (Twitter)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

CINSarmy

Date Founded

1995

Company Location

United States

Company Website

cinsarmy.com/collective-intelligence-network-security/

Company Facts

Organization Name

Bot Sentinel

Company Website

botsentinel.com

Categories and Features

Categories and Features

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