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Description
ActiveFence offers an end-to-end protection solution for generative AI applications, focusing on real-time evaluation, security, and comprehensive threat testing. Its guardrails feature continuously monitors AI interactions to ensure compliance and alignment with safety standards, while red teaming uncovers hidden vulnerabilities in AI models and agents. Leveraging expert-driven threat intelligence, ActiveFence helps organizations stay ahead of sophisticated risks and adversarial tactics. The platform supports multi-modal data across 117+ languages, handling over 750 million daily AI interactions with response times under 50 milliseconds. Mitigation capabilities provide access to specialized training and evaluation datasets to proactively reduce deployment risks. Recognized and trusted by leading enterprises and AI foundations, ActiveFence empowers businesses to safely launch AI agents without compromising security. The company actively contributes to industry knowledge through reports, webinars, and participation in global AI safety events. ActiveFence is committed to advancing AI safety and compliance in an evolving threat landscape.
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
Integrations
Agora
Samplead
Slack
Zendesk
Pricing Details
No price information available.
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
ActiveFence
Founded
2018
Country
United States
Website
activefence.com
Vendor Details
Company Name
Two Hat
Founded
2012
Country
Canada
Website
www.twohat.com/predictive-moderation-template/
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
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