Content Filtering Chromebooks - Senso.cloud - Network and Classroom Management Software

CATEGORY BASED WEB CONTENT FILTER FOR CHROMEBOOKS AND WINDOWS

Content Filtering

A cloud based, category based web content filter that appropriately filters and blocks students from harmful or inappropriate content. When you provide devices to students that they then take away from school, those students and devices are protected by Senso Cloud filter with the same protective measures put in place for them, while on your network.

Content Filtering Chromebooks

Benefits of Filtering

BLOCK INAPPROPRIATE CONTENT
Senso’s cloud based, category web content filter provides you with peace of mind that when students are using school owned devices to learn and work away from school, they are appropriately filtered and blocked from harmful or inappropriate content.

ARTIFICIAL INTELLIGENCE
Senso’s filter cloud not only benefits from extensive category-based libraries to block inappropriate websites, but also uses Artificial Intelligence to check the content of every website a student attempts to visit and will proactively include any inappropriate websites within the filtering libraries.

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Content Filtering for Students

Powering a Safer Internet for all

OVER 99.9% COVERAGE
Over 99.9% coverage of the active web traffic, incorporating URLs that have been visited by a global network of 500 million users across Network Security, IoT Security, and Ad Tech markets.

99%+ ACCURACY
AI/machine learning combined with human quality assurance to maintain over 99% accuracy for categorizing web content into topic-based, objectionable, and malicious categories.

OBJECTIONABLE CONTENT
Identify and block URLs and inappropriate or objectionable categories including porn, hate speech, violence, etc. Continuous updates for the Dynamic Web,
delivering real-time updates of newly categorized topic-based, objectionable, and malicious URLs, as well as daily database updates providing full mirror and incremental updates.

MALICIOUS DETECTION
Interrogate threats at the URL and IP level and identify malicious activities such as malware, phishing, fraud and spyware. Our filter lists employ a crowd-sourced approach for obtaining a constant stream of URLs to analyze by combining static analysis, behavioral analysis, 3rd party industry feeds, and human-supervised machine learning.

FAST PERFORMANCE
Local lookups in 5 microseconds or 200,000 queries per second per instance, supplemented by cloud updates for uncategorized URLs.

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