ConTrust’s core technology would differentiate itself as it would blend mature technology (Anti virus, Image processing, etc …) with new and advanced behavior analysis processing, providing a better detection ratio, But our solution would focus not only on mature and proprietary technology for content and meta content analysis but also learn share and leverage information gathered in the SaaS “cloud” to adapt to new and dynamic threats/inappropriate content.
Here are some of these features :
Web Interaction Biometrics
ConTrust propriety technology to detect Bot interaction ( as appose to human ) is based on our WIBE - "Web interaction biometrics engine". Our technology enables the media platform to receive real time analysis and feedback on abusive interaction, trying to render the site irrelevant or under congestion. The feedback is based on detailed analysis comprised from content analysis and the WIB engine.
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Contrust introduces the market with a high and effective "shield" which provides transparent detection and blocking methods, maintaining a high detection ratio, enabling the media platform to uphold its user experience mission and leave out any traffic abandonment aids (like CAPTCHA or Two-factor-authentication).
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UGC Analysis
The ability to analyze and discover abusive or malicious content in real time is a key aspect in content moderation. Content analysis is an effective part of detection but only one aspect.
To realize the full potential of ConTrust detection analysis, behavioral and contextual elements must come into play.
ConTrust detection engine employs heuristics and learning techniques about environment variables which relates to the contributed post. Information like “who” is the comment/blog/post publisher and “how” it’s been contributed is imperative facts that would help the moderation process |
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Strategic Partnership And "Mature" Technologies
In order to provide our customers with the best proposition value, Our solution incorporates mature technologies and relevant partnership to provide a higher rate of detection. Leveraging mature technologies in image and video processing, scalable dynamic black lists and much more …
| ConTrust provides a unique layer of calibration. Thus, incorporate learning techniques to match and fine tune each technology to its environment and industry |
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Content Analysis
the world of user generated content holds great challenges in classification and data mining, a new realm of unstructured language and content that is diverse and uncontrolled.
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ConTrust content analysis technology focus on detecting threats and risk’s that are relevant to the media platform, known policy violations as obscenity, profanity, brand abuse, “hate speech” and more are on our top list.
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