REMI: AI-Driven DFIR Detection for Comprehensive Cybersecurity Investigations

REMI empowers DFIR investigators by combining rule-based detections with advanced AI pattern recognition and behavioral analysis, designed to detect hacking activities and expose hidden connections across individuals, groups, organizations, and geographic locations. Each detection includes a comprehensive timeline of events, allowing investigators to see how cyber incidents unfold, from initial compromise to data exfiltration.

By automating the analysis of access patterns, IP anomalies, suspicious file movements, and network behavior, REMI delivers insights in minutes that would traditionally take months to uncover. With REMI, DFIR investigators can eliminate manual, time-intensive analysis, enabling them to rapidly trace attacks, pinpoint key players, and map out a complete, actionable view of the cyber incident.

Explore REMI's 50 Advanced Hacking Detection Patterns

Discover the full list of powerful, AI-driven detection rules within REMI, designed to identify complex hacking,  patterns, and suspicious behaviors with precision.