Gardiyan: Event Management System
The Gardiyan Event Management System component transforms continuous endpoint activities into actionable security intelligence. By processing incoming forensic and security data through predefined Indicators of Compromise (IoC), advanced rules, and organization-specific detection algorithms, it detects suspicious behavior in near real-time.
Manage Threats Instantly, Security in Real-Time
Gardiyan’s Event Management component turns continuous endpoint activity into actionable security intelligence. It processes incoming forensic and security data through predefined IoCs, advanced rules, and customer-specific detection logic to identify suspicious behavior in near real time.
With more than 1,800 predefined IoCs, Gardiyan helps security teams detect known indicators, enrich important events with context, create actionable alarms, and connect those alarms to graph-based correlation and workflow-driven response.
The result is faster detection, better prioritization, and less time spent reviewing disconnected raw data.
Gardiyan’s Event Management component is designed to transform continuous endpoint activity into meaningful security intelligence. It receives forensic and security-relevant data from client machines, processes it through advanced rule logic, and identifies suspicious or policy-relevant behavior in near real time.
Instead of leaving analysts with large volumes of raw endpoint data, Gardiyan evaluates events, enriches them with context, and turns important signals into actionable alarms. This helps security teams detect suspicious activity faster, prioritize what matters, and move quickly from event visibility to investigation and response.
From Raw Events to Actionable Alarms
Every endpoint can generate a large amount of activity, but not every activity requires attention. Gardiyan’s Event Management layer helps separate meaningful signals from normal system noise.
The platform analyzes incoming endpoint data using predefined IoCs, advanced rules, and customer-specific detection logic. When suspicious behavior is detected, Gardiyan creates alarms that include relevant context such as affected endpoint, related user, process information, file activity, network indicators, and associated forensic evidence.
This allows analysts to focus on qualified security events instead of manually reviewing disconnected raw data.
IoC-Based Detection
Gardiyan currently includes more than 1,800 predefined Indicators of Compromise to help detect known suspicious patterns, malicious indicators, and policy-relevant activity.
These IoCs strengthen the detection capability of the platform and help security teams identify threats faster. The IoC library can also be expanded over time with new indicators, customer-specific intelligence, and organization-specific detection requirements.
Advanced Rule Engine
Gardiyan’s Event Management component uses an advanced rule engine to evaluate incoming events against predefined and custom detection logic. Rules can be designed to detect suspicious behavior, abnormal activity, policy violations, forensic indicators, or combinations of multiple conditions.
This makes Gardiyan flexible for different security environments. Organizations can use built-in detection capabilities while also adapting the platform to their own infrastructure, policies, threat models, and investigation needs.
Event Enrichment
Gardiyan does not treat events as isolated records. When an event becomes important, the platform enriches it with additional context to support faster investigation.
Enrichment may include endpoint details, user information, process relationships, file indicators, network context, historical activity, related alarms, and graph-based relationships. This gives analysts a clearer view of what happened and why the event matters.
Alarm Creation and Prioritization
When event conditions match defined rules or IoCs, Gardiyan creates alarms that can be reviewed, correlated, escalated, or used to trigger workflows.
These alarms help security teams prioritize response by highlighting meaningful activity. Instead of manually searching through endpoint data, analysts can start from structured alarms that already include the most relevant investigation context.
Connection to Correlation and Workflow
Event Management is the bridge between continuous forensic collection and active response. Once an alarm is created, Gardiyan can send it to the graph database for relationship analysis and correlation. The same alarm can also trigger workflows for notification, investigation, containment, AI-assisted analysis, or controlled response actions.
This creates a connected process from data collection to detection, from detection to correlation, and from correlation to response.
Customer Value
Gardiyan’s Event Management helps organizations detect suspicious activity faster, reduce manual review effort, and improve the quality of incident investigation. By combining IoCs, advanced rules, enrichment, and alarm generation, the platform helps security teams focus on meaningful incidents instead of raw data overload.
The result is faster detection, better prioritization, richer investigation context, and a stronger foundation for near real-time incident response.
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.