Cyberlytic’s web application security software applies machine learning to classify attack data, identify threat patterns and detect anomalies
Cyberlytic’s advanced web application security software uses AI to deliver advanced threat detection and prioritisation of web-injection attacks.
Originally developed for the UK Ministry of Defence and GCHQ, Cyberlytic’s software uses machine learning to classify attack data, identify threat patterns and detect anomalies. By analysing web server traffic in real-time, the Cyber Threat Profiler (“Profiler”) detects and immediately determines the sophistication, capability and effectiveness of each attack. This information is translated into a risk score to prioritise incident response.
Cyberlytic’s patented classification approach is more effective at detecting sophisticated attacks than traditional, signature-based security solutions and adapts to new or evolving threats without requiring any manual intervention.