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 no longer subject to 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

Block Website Content Chromebook
OVER 99.9% COVERAGE
Over 99.9% coverage of active web traffic, covering websites that have been visited by a global network of 500 million users across various sectors.
Website Content Filtering
99%+ ACCURACY
A.I combined with human verification to ensure over 99% accuracy for categorising web content into topic-based, objectionable, and malicious categories.
Senso Web Content Filtering
OBJECTIONABLE CONTENT
Identify and block web addresses from inappropriate categories including porn, hate speech, violence, extremism, self harm etc . Continuous real-time updates of newly categorised objectionable, and malicious web addresses, as well as daily database updates providing full mirror and incremental updates.
Senso Content Filtering
MALICIOUS DETECTION
Interrogate threats at the URL and IP level to identify malicious activities such as spyware, phishing, malware and fraud. Our filter lists use a crowd-sourced approach to obtain a constant flow of web addresses which we analyse by combining static analysis, behavioral analysis, 3rd party industry feeds, and human-supervised machine learning.
Filtering Chromebook Content
FAST PERFORMANCE
Local lookups in 5 microseconds or 200,000 queries per second per instance, supplemented by cloud updates for uncategorised URLs.

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Network and Classroom Management Experts