Gardiyan: Real-Time Digital Forensics Management System
Gardiyan’s 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, Gardiyan provides near real-time forensic visibility across endpoint activity, helping organizations preserve evidence before it is lost and understand incidents as they unfold.
Your Security Teams' Real-Time Digital Witness: Gardiyan
Gardiyan's Real-Time Digital Forensics Management System component continuously collects and structures endpoint evidence, helping security teams investigate incidents faster and respond with great confidence.
With over 70 client-side data points, Gardiyan provides near real-time forensic visibility into endpoint activities. This helps organizations preserve evidence before it is lost and understand incidents as they unfold. By connecting users, machines, processes, files, events, and alerts through graph-supported analysis, Gardiyan transforms raw endpoint activity into clear forensic insights.
Gardiyan's Real-Time Digital Forensics Management System component is designed to bring forensic investigation closer to the moment of activity. Instead of waiting to collect evidence post-incident, Gardiyan continuously gathers forensic and security-related data from client endpoints, structuring it for investigation, analysis, and response.
This component provides security teams with a near real-time view of endpoint behaviors. It helps analysts understand what happened, when it happened, where it happened, which systems were affected, and which users, processes, files, or network indicators were involved in the incident.
Continuous Forensic Visibility
Traditional digital forensics often starts after an incident is discovered. At that point, critical evidence may already be deleted, modified, overwritten, or lost. Gardiyan changes this approach by continuously collecting forensic data while systems are still operating.
With more than 70 client-side data points, Gardiyan helps organizations maintain continuous visibility into endpoint activity. This gives analysts access to richer evidence and reduces the need to reconstruct an incident from incomplete information.
Evidence Before, During, and After the Incident
Gardiyan helps organizations preserve forensic context across the full incident lifecycle. Before an incident, the platform collects baseline and activity data that may later become important evidence. During suspicious activity, it captures relevant endpoint signals that help identify what is happening. After detection, it provides structured data for investigation, correlation, reporting, and response.
This continuous evidence model helps security teams investigate faster and with greater confidence.
Structured Investigation Context
Gardiyan 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.
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.
To prevent operational disruptions, all DVR and camera events are monitored by an automated alarm system.
Analyst-Friendly Investigation
The Digital Forensics Management System is designed to make investigation practical and efficient. Analysts can review endpoint activity, examine evidence, follow timelines, explore relationships, and understand suspicious behavior without manually searching through disconnected logs.
By combining continuous data collection with structured investigation views, Gardiyan helps reduce investigation complexity and supports faster decision-making.
Graph-Supported Forensic Analysis
Gardiyan’s forensic data becomes more powerful when connected through the graph database. Users, machines, processes, files, events, alarms, and relationships can be analyzed together, allowing analysts to understand how different activities are connected.
This graph-supported approach helps reveal attack paths, related systems, suspicious process chains, and wider incident patterns that may not be visible in traditional log-based investigation.
Customer Value
The Digital Forensics Management System helps organizations improve forensic readiness, reduce evidence loss, and accelerate investigation. Security teams gain continuous endpoint visibility, stronger evidence quality, and a clearer understanding of incident context.
By collecting and structuring forensic data before it is urgently needed, Gardiyan helps organizations respond with more confidence and reduce the operational impact of security incidents.
Key Capabilities
Gardiyan’s Digital Forensics Management System supports continuous endpoint data collection, forensic evidence organization, investigation timelines, endpoint activity visibility, graph-supported analysis, AI-assisted investigation context, and integration with event and workflow management.
Together, these capabilities help security teams move from reactive forensic investigation to near real-time and continuous forensic readiness.
Core Usage Layers
On-Premises
Installation is performed on-premises, within the organization's own data center or fleet control unit.
- Low-latency monitoring via a local network (LAN) connection.
- Full control over device management and maintenance processes.
- Ensures sensitive vehicle location data remains within the organizational boundaries.
Cloud
Offers a scalable structure via cloud architecture, supporting multi-location fleets.
- A management dashboard accessible from anywhere.
- Centralized reporting, alarm notifications, and location history logs.
- Ease of backup, updates, and accessibility.
Cloud Transition
Enables gradual integration of existing local systems with cloud infrastructure.
- Hybrid monitoring (e.g., vehicle DVRs on-premises, management dashboard in the cloud).
- Minimization of risks and costs through a phased transition.
- Seamless migration and preservation of data integrity.