Malicious bots attack at speed, so it is vital that defenses react quickly to stop them. With reams of requests being processed each minute, distinguishing between malicious and legitimate traffic quickly and accurately requires advanced technology developed with specific expertise.
To combat the ever-changing and increasingly aggressive bot threat landscape, Netacea wanted to add adaptive real-time anomaly detection to its bot management offering. To augment the project with the highest level of expertise, Netacea embarked on a Knowledge Transfer Partnership (KTP) with the University of Nottingham.
The KTP resulted in the creation of Intent Clustering (patent pending), an innovative solution to rapid anomaly detection and an important addition to Netacea’s bot management technology suite.
This report explores in detail how combining machine learning and data science expertise between Netacea and the University of Nottingham resulted in Netacea’s Bot Management Solution evolving to categorize web user intent in real time, allowing customers to block malicious traffic instantly.
In this report you will learn:
• What Intent Clustering is and how it enables real-time threat detection and mitigation
• How the Knowledge Transfer Partnership, funded by UK Research and Innovation through Innovate UK, enabled Netacea to create new technology
• The tangible business benefits of the project to Netacea, including decreasing the average customer onboarding time whilst reducing overall costs