AI-driven website threat detection
It’s difficult to fight against constantly evolving cyber threats if you just rely on traditional security solutions and tools. But with our advanced threat detection technology powered by AI, you can respond to known and unknown threats quickly, proactively and flexibly.
Promote efficiency of security operations by automating threat detection and analysis processes. SOC analysts can group, refine and visualize the events they need to handle every day.
Constantly train your model to better detect true positives and lower false positives/false negatives.
Utilize supervised/unsupervised learning guided by Samsung SDS’s security expertise and clustering analysis technique.
View real-time status of threat landscape on the web. Gain a more intuitive understanding of hacking activities, get actionable insights and prioritize your response.
Learns to automatically label web logs using rule-based analysis technique.
Analyzes web-server access logs from various angles and learns from the results.
Constantly improves AI performance through human feedback
Provides useful insights to analysts and operators in visualized forms such as per-domain tree graphs of attacked URIs, dashboards, etc.
Identifies attacks that can actually penetrate the protected web server by automatically verifying the effectiveness of attacks with Event Verification System. (optional)
Enables users to create, evaluate and simulate their own AI models, and select the best one. (optional)