Our customer is a cyber security startup that developed a security threat detection platform for IoT applications.
Challenges
The company encountered a unique security challenge – a specific type of threat that proved to be a formidable adversary for traditional algorithms. This complexity necessitated the application of advanced Machine Learning techniques to provide a truly comprehensive security solution. However, the R&D team of the company didn’t possess the relevant expertise and struggled with implementing this functionality.
Solution
Trivium has created, trained, and deployed a machine-learning model based on the company’s data. When tested on previously unseen data, the model provided an unprecedented identification success rate of 99.4%.
In addition, Trivium has developed an automated process for continuous training and deployment of the model. This process allows the company to maintain an updated dataset and automatically deploy a re-trained model to the production environment.
Benefits
The company was able to provide a comprehensive security threat identification solution, gaining a competitive edge and securing business growth.
