Praeventra'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 resulting in faster detection, better prioritization, and less time spent reviewing disconnected raw data.
Event Management Demo Video
Coming Soon1800+
Indicators of Compromise to detect known threats and suspicious patterns
Customizable
Flexible rule logic supporting predefined and customer-specific detection
Enriched
Context-enriched alarms ready for investigation and workflow-driven response
Every endpoint can generate a large amount of activity, but not every activity requires attention. Praeventra's Event Management layer helps separate meaningful signals from normal system noise, letting analysts focus on qualified security events instead of manually reviewing disconnected raw data.
Praeventra 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.
Praeventra'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, making Praeventra flexible for different security environments and threat models.
Praeventra does not treat events as isolated records. When an event becomes important, the platform enriches it with relevant context, including endpoint details, user information, process relationships, file indicators, network activity, and associated forensic evidence. This allows analysts to immediately understand the scope and context of detected activity.
When suspicious behavior is detected, Praeventra creates alarms that include relevant context such as the affected endpoint, related user, process information, file activity, network indicators, and associated forensic evidence. Alarms flow directly into graph-based correlation and workflow-driven response, connecting detection to investigation and action.
Praeventra is designed to work across different security environments. Organizations can use built-in detection capabilities while also adapting the platform to their own infrastructure, policies, threat models, and investigation requirements.
Start with 1,800+ predefined IoCs and built-in detection rules covering known attack patterns, malicious indicators, and policy-relevant activity, providing immediate detection value out of the box.
Extend detection with customer-specific rules, organization-specific IoCs, and detection logic tailored to your infrastructure, business policies, and unique threat model, making the platform truly adaptive.
Alarms created by the Event Management component flow directly into the graph database, where they are connected to related endpoints, users, processes, files, and other events, enabling the correlation engine to identify broader incident patterns.
The Event Management component is not an endpoint. It is the intelligence layer that connects continuous forensic data collection to the rest of the Praeventra platform. Alarms created by the event engine enrich investigation views, feed into graph-based correlation, and trigger workflow-driven response actions, creating a connected and efficient security operation.
This means analysts spend less time sorting through raw data and more time acting on meaningful, contextualized alerts. The result is faster detection, better prioritization, and a clearer path from suspicious activity to informed response.
Learn how Praeventra's Event Management component can help your security team separate signal from noise and respond to what matters most.
