Before the Incident
Praeventra collects baseline and activity data that may later become important evidence. Organizations no longer need to start from scratch when an incident is discovered, the evidence is already structured and preserved.
Real-Time Digital Forensics Management System
Continuous Endpoint Evidence, Before It Disappears
Praeventra's Real-Time Digital Forensics Management System continuously collects and structures endpoint evidence to help security teams investigate faster and respond with confidence. With more than 70 client-side data points, Praeventra provides near real-time forensic visibility across endpoint activity, helping organizations preserve evidence before it is lost and understand incidents as they unfold.
Real-Time Digital Forensics Demo Video
Coming Soon70+
Client-Side Data Points
Forensic data points collected continuously from every endpoint
Near Real-Time
Forensic Visibility
Endpoint activity structured for investigation while it is still happening
Graph-Supported
Forensic Analysis
Users, machines, processes, files, events, and alarms connected for deeper insight
The Problem with Traditional Forensics
Stop Investigating After the Evidence Is Gone
Traditional digital forensics often starts after an incident is discovered. At that point, critical evidence may already be deleted, modified, overwritten, or lost. Praeventra changes this approach by continuously collecting forensic data while systems are still operating.
During Suspicious Activity
The platform captures relevant endpoint signals in near real time as suspicious activity occurs. Analysts gain visibility into what is happening, which systems are affected, and which users, processes, or files are involved.
After Detection
Structured forensic data is available for investigation, correlation, reporting, and response. Security teams can investigate faster and with greater confidence, without reconstructing an incident from incomplete information.
Structured Investigation
From Raw Data to Actionable Forensic Context
Praeventra does not simply collect raw endpoint data. It transforms collected information into structured forensic context that can be used by analysts, rules, correlation logic, workflows, and AI-powered analysis.
Connected Forensic Entities
Endpoint activity can be connected to users, processes, files, machines, network indicators, alarms, and investigation timelines. This helps analysts move from isolated technical signals to a clearer understanding of the incident story, who did what, on which system, and when.
Analyst-Friendly Investigation
The Digital Forensics Management System is designed to make investigation practical and efficient. Analysts can review endpoint activity, examine evidence, follow process chains, and access structured forensic data, reducing the time needed to understand what happened.
Graph-Supported Forensic Analysis
Forensic data becomes more powerful when connected through the graph database. Users, machines, processes, files, events, and alarms form a connected forensic picture that helps analysts identify attack paths, related systems, suspicious process chains, and potential lateral movement.
Evidence Preservation
Praeventra helps organizations maintain continuous visibility into endpoint activity, giving analysts access to richer evidence and reducing the need to reconstruct an incident from incomplete information. Critical evidence is preserved before it is lost.
Forensic Data Coverage
70+ Data Points Across Every Endpoint Dimension
Praeventra's endpoint agent captures a comprehensive set of forensic data points, providing broad visibility into the signals that matter most for security investigation and incident response.
Process Activity
Monitor running processes, process creation events, parent-child relationships, and process-level behavior indicators that may signal suspicious or malicious activity.
System Behavior
Track system-level events, configuration changes, service activity, scheduled tasks, and other system-relevant signals that provide context for investigation and correlation.
File-Related Events
Capture file creation, modification, deletion, and access events that may be relevant to ransomware detection, data exfiltration, or unauthorized file access investigations.
Network Indicators
Collect network connection data, DNS activity, and communication indicators that help analysts identify suspicious outbound connections, command-and-control traffic, and lateral movement.
User Activity
Track user logon and logoff events, privilege use, account activity, and access patterns that support insider risk detection, account compromise investigation, and behavioral analysis.
Security-Relevant Signals
Collect additional security-relevant indicators that strengthen detection, investigation, and correlation, providing broader forensic coverage across the endpoint environment.
Next Steps
See How Forensic Readiness Changes Everything
Explore the Event Management and Workflow Management components to understand how collected forensic data becomes actionable intelligence and controlled response.