Leverages AI and natural language processing to identify and prioritize security incidents for analysts.
Detects anomalous behavior by analyzing user activity and creates risk scores to prioritize incidents.
Uses machine learning to assess vulnerabilities and prioritize remediation efforts based on potential impact.
Applies statistical models and algorithms to network traffic to detect hidden threats and patterns.
Analyzes historical data and identifies patterns and anomalies to predict and prevent future security incidents.
Uses machine learning to correlate and analyze threat intelligence data from multiple sources to detect and respond to emerging threats.
Provides detailed information about security incidents, including their source, scope, and impact, to aid in investigation and response efforts.