Techwards Supports PolymerHQ in Building an AI-Powered Anomaly Detection Platform for Enhanced Data Security
PolymerHQ, a leading data loss prevention (DLP) company, provides cutting-edge solutions to protect sensitive corporate data across platforms like Google Drive and Microsoft OneDrive. Their product enables clients to create customizable policies for data control, such as blocking unauthorized file sharing or logging downloads. To further enhance their product, PolymerHQ aimed to incorporate AI-driven anomaly detection and advanced analytics by leveraging Snowflake, a powerful data management platform. Techwards partnered with PolymerHQ to develop this AI feature and set up the necessary infrastructure, enabling the company to gain a competitive edge in the market.
Problem Statement
PolymerHQ faced several challenges in integrating AI-driven features into their DLP product. While they had a strong core team skilled in PHP, they lacked expertise in Python and Django—key technologies required for implementing advanced AI and data engineering solutions. Additionally, they needed to develop a robust anomaly detection system capable of identifying unusual user behavior, such as a significant spike in file downloads, which could indicate a potential data breach. Without the necessary expertise in Python and Django, they were unable to build the required platform and infrastructure on their own.
Solutions
Techwards provided a comprehensive solution, focusing on developing the AI infrastructure and anomaly detection platform:
- AI Infrastructure Setup: Designed and implemented the foundational infrastructure required for AI-driven solutions, ensuring seamless integration with Snowflake.
- Anomaly Detection System: Developed an AI-powered anomaly detection system capable of identifying outliers, such as unusual spikes in user activity (e.g., a user typically downloading 2 files per day suddenly downloading 100 files).
- Platform Development: Built the platform using Python and Django, enabling PolymerHQ to leverage Snowflake’s prebuilt capabilities for forecasting, future predictions, and advanced analytics.
- Customizable Policy Management: Enhanced the existing DLP product by adding customizable AI-driven policies, allowing clients to create and enforce complex rules for data control.
Outcome
With Techwards’ support, PolymerHQ successfully transformed their DLP product into an AI-powered solution with advanced anomaly detection capabilities. Key results included:
- Enhanced Security: The anomaly detection system provided real-time alerts for potential data breaches, improving overall data security.
- Increased Market Competitiveness: The new AI-driven feature gave PolymerHQ a marketing edge, positioning them as an innovative leader in the DLP market.
- Efficient Data Management: Leveraging Snowflake’s data management and analytics capabilities allowed for more efficient handling of large volumes of data.
- Scalable AI Infrastructure: The Python and Django-based platform provided a scalable foundation for future AI-driven features.
