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Description
When your brand's reputation is under threat, it is essential to address any instances of brand abuse promptly. Cyberwebnic offers a comprehensive managed service that involves human analysts working around the clock in our Security Operations Centre (SOC) to identify and evaluate potential threats. We focus on detecting digital brand abuse or impersonation, and after consulting with our clients, we act swiftly to remove such content thoroughly. Although it's not always possible to eliminate every mention of a brand, if there is an infringement on a trademark, Cyberwebnic will take the lead in ensuring that the offending material is taken down. Unlike other services that may only send an automated email to an abuse mailbox, our dedicated team carefully reviews each case of brand abuse to determine the most effective strategy for content removal. Thanks to our considerable industry experience, we often have established reporting channels that enable us to facilitate the immediate removal of brand abuse incidents, ensuring your brand remains protected. Our proactive approach not only safeguards your reputation but also reinforces the trust your customers place in your brand.
Description
A tailored neural network has been developed to efficiently triage reported online content. For an extended period, social media platforms have depended on users to flag abusive behavior, hate speech, and various forms of online harm. These reports are forwarded to moderation teams that assess each one on a case-by-case basis. Many platforms encounter an overwhelming number of reports daily, with a significant portion being resolved without any further action. However, reports that involve urgent matters—such as threats of suicide, violent acts, terrorism, or child exploitation—run the risk of being overlooked or not addressed promptly. This delay can lead to serious legal repercussions as well. Under the German law known as NetzDG, social media platforms are obligated to eliminate reported hate speech and unlawful content within a 24-hour timeframe, or they could incur fines reaching up to 50 million euros. As similar regulations regarding reported content are emerging in countries like France, Australia, and the UK, the need for effective moderation techniques is becoming increasingly critical. With Two Hat’s Predictive Moderation product, platforms have the capability to develop a specialized AI model that learns from the consistent decisions made by their moderation teams, thereby improving response times and accuracy in handling urgent reports. This innovation not only enhances user safety but also helps platforms navigate the complex landscape of legal compliance effectively.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$500
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cyberwebnic
Founded
2022
Country
Bangladesh
Website
cyberwebnic.com
Vendor Details
Company Name
Two Hat
Founded
2012
Country
Canada
Website
www.twohat.com/predictive-moderation-template/
Product Features
Brand Protection
Case Management
Domain Monitoring
Investigation Management
Marketplace Monitoring
Mobile App Monitoring
Paid Search Monitoring
Prioritization
Social Media Monitoring
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation