Mastercard and Visa regulations

INFORMATION

Problem Statement:

Businesses that accept card payments are responsible for monitoring and managing various forms of content, such as advertisements, websites, social media posts, and customer communications, to ensure compliance with Mastercard and Visa regulations. However, manual content monitoring can be time-consuming, error-prone, and challenging to scale, especially for businesses dealing with a large volume of images, videos and live streams. There is a need for an efficient and reliable solution to automate content monitoring processes while maintaining compliance with schemes regulations.

Solution:

Implementing AIirisnet content monitoring system with the latest and most advanced AI technology in visual computing can address the challenges associated with manual monitoring by leveraging machine learning algorithms to analyze and detect compliance conflicts such as children, nudity, violence, unwanted symbols, unwanted substances like drugs and alcohol as well as offense text im images and videos. Here is an overview of how the solution works:

1. Image, Video and Live-Stream checks: The system is feed via an API with content from various sources, such as websites, social media platforms, and advertising networks, where related content might be present.
2. Compliance Rules Engine: The system incorporates a rules engine that contains a comprehensive set of schemes regulations and guidelines. These rules are continuously updated to reflect the latest compliance requirements.
3. Object Classification: The AI model applies machine learning algorithms to classify content based on predefined categories, such as compliant, non-compliant, potentially fraudulent, or ambiguous. It uses both supervised learning, where human experts label training data, and unsupervised learning, where patterns and anomalies are identified automatically.
4. Real-Time Monitoring and Alerting: The system response in real-time (milliseconds), ensuring that any potential violations are flagged promptly. This allows to generate automated alerts and notifications to relevant stakeholders, such as compliance officers or content managers, to take appropriate actions.
5. Performance Optimization: The AI model continuously learns and improves its accuracy by leveraging feedback from human reviewers. This iterative process helps enhance the system’s ability to accurately identify compliance violations and reduce false positives.

Benefits:

Implementing AIrisprotect content monitoring for compliance with Mastercard and Visa regulations offers several benefits:

1. Improved Efficiency: Automation reduces the manual and error prone effort required for content monitoring, enabling businesses to process a larger volume of content in less time.
2. Enhanced Accuracy: AI models can analyze content with high precision, minimizing false positives and false negatives, resulting in better compliance monitoring outcomes.
3. Scalability: The system can handle large volumes of content from multiple sources simultaneously, ensuring comprehensive coverage and minimizing oversight.
4. Real-Time Compliance: Real-time monitoring ensures that potential violations are identified promptly, allowing businesses to take immediate corrective actions and mitigate risks.
5. Cost Savings: By automating content monitoring, businesses can reduce the need for manual reviews and streamline compliance processes, resulting in potential cost savings.

Conclusion:

Adopting AI-based content monitoring solutions enables banks and merchants to ensure compliance with Mastercard regulations efficiently and effectively. By automating content monitoring processes, businesses can reduce the burden of manual efforts, improve accuracy, and mitigate risks associated with non-compliance. Implementing such a solution empowers to maintain a secure and trustworthy payment ecosystem, providing peace of mind to both merchants and the schemes.