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Description
eflow’s TZTS Market Abuse & Trade Surveillance software serves as an advanced compliance solution powered by machine learning and behavioral analytics, aimed at aiding financial institutions in detecting and monitoring activities such as market manipulation and insider trading, all while adhering to the standards set by leading global regulators like the FCA/MAR, SEC, CFTC, and MAS. The system encompasses all major asset classes, automating the processes of market abuse detection and compliance verification, while delivering alerts that are ready for regulatory submission. TZTS is characterized by its exceptional flexibility, enabling customizable implementations, dynamic parameter testing, and workflow automation, alongside an intuitive user interface that adjusts in response to evolving regulatory and market landscapes. Furthermore, it enhances data accuracy and boosts reporting efficiency through both preset and tailored reports, while automatically enriching trade data and creating thorough audit trails, ultimately aligning regulatory requirements with business objectives through adaptable parameters and notifications. This sophisticated software not only streamlines compliance processes but also empowers firms to stay ahead in a rapidly changing financial environment.
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
No details available.
Integrations
No details available.
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
eflow
Founded
2004
Country
United Kingdom
Website
eflowglobal.com
Vendor Details
Company Name
Two Hat
Founded
2012
Country
Canada
Website
www.twohat.com/predictive-moderation-template/
Product Features
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
