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Hay-AI™
Adaptive Cyber Defense Powered by Machine Learning
Hay-AI™ is the intelligence engine behind everything we do. Built specifically for cybersecurity, it fuses behavioral analytics, anomaly detection, and threat intelligence to identify malicious intent across systems and environments. It not only powers Hayrok’s platform—but adapts with each event, asset, and engagement—constantly learning from your organization and the threat landscape.
Real-Time ML Models Tailored to Cyber Use Cases
Deploy machine learning models specifically designed for cybersecurity scenarios such as intrusion detection, fraud prevention, and anomaly detection—delivering actionable insights in real time.
Built-In Explainability for SOC and Compliance Teams
Provide transparent, interpretable insights with every detection to support faster investigations, regulatory audits, and improved analyst trust in automated decisions.
Behavioral Profiling of Users, Devices, and Apps
Continuously monitor and model normal behavior across identities, endpoints, and applications to uncover subtle deviations that may signal malicious intent.
Plug-and-Play with Your Existing Data Stack
Seamlessly integrate Hay-AI™ into your existing SIEM, data lake, or log management infrastructure without rearchitecting your environment.
Self-Improving Logic for Fraud, Penetration, and Threat Detection
Hay-AI™ continuously learns from new threat patterns and internal signals, enabling it to evolve and enhance its detection capabilities with minimal manual tuning.
Threat Intelligence Fusion Across Data Sources
Correlate internal telemetry with external threat intelligence feeds to enrich detections with global context, enabling earlier identification of emerging threats and targeted attacks.