Threat detection framework leverages supervised learning and anomaly detection to analyze system logs and network traffic patterns. We design solutions that integrate with your existing security infrastructure to enable rapid threat identification and response while minimizing false positives.
AI pipeline analyzes network telemetry, authentication logs, and process behaviors to establish baseline patterns. Using anomaly detection algorithms and sequence modeling, we identify deviations that indicate potential security incidents, enabling proactive threat response before breaches escalate.
AI models analyze your system architecture, API endpoints, and dependency trees to identify potential security vulnerabilities. By leveraging natural language processing and graph neural networks, we detect anomalous patterns in source code and configurations to strengthen your security posture.
Transform your security logs into real-time threat intelligence using transformer-based NLP models and graph analysis. Our solution processes security events at sub milli-second latency, enabling rapid incident response through automated pattern detection and cross-system correlation.
