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Enhance and Optimize Brand Infringement Detection Platform

n-ix.com

Security

Challenges with Application Performance and Security

The client's automated applications, crucial for identifying counterfeit products and brand abuse, are facing challenges related to speed, accuracy, and security vulnerabilities. The increasing volume of data requires faster and more efficient processing, while potential security flaws could hinder application performance and compromise the integrity of the detection process.

About the Client

Provides a range of brand protection services leveraging advanced technologies like machine learning to combat online piracy and brand abuse.

Project Goals

Improve the speed and accuracy of brand infringement detection applications.
Enhance the scalability of the applications to handle increasing data volumes.
Strengthen the security posture of the applications to mitigate potential vulnerabilities.
Expand the coverage of the applications to encompass a wider range of online marketplaces and platforms.

Functional Requirements

Real-time data analysis for counterfeit product and brand abuse detection.
Automated identification of infringing content across multiple online platforms.
Enhanced accuracy in identifying brand violations.
Scalable architecture to handle large data volumes.
Comprehensive security monitoring and vulnerability management.
Integration with various online marketplaces and social media platforms.

Preferred Technologies

Python

Regular expressions

Docker

Playwright

MongoDB

AWS S3

Bamboo

OWASP Testing Guide

OWASP Top 10

Required Integrations

Various online marketplace APIs (e.g., Amazon, eBay, Alibaba)
Social media platform APIs (e.g., Facebook, Instagram, Twitter)
Web scraping tools and libraries

Non-Functional Requirements

High performance and scalability.
Robust security measures to prevent unauthorized access and data breaches.
High availability and reliability.
Maintainability and ease of updates.

Expected Business Impact

This project is expected to significantly improve the client's ability to protect brands online, resulting in reduced financial losses from counterfeiting, enhanced brand reputation, and increased operational efficiency through automated detection and faster response times. A comprehensive security assessment will reduce the risk of application compromise and ensure reliable performance.