Falco
A tool that monitors system calls and container events to identify deviations in system behavior and generate alerts to log changes
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| + | Real-time Event Monitoring | Captures system calls and process events as they occur; enables detection of system changes as they happen. |
|---|---|---|
| + | Linux Kernel Monitoring | Observes Linux kernel events through system call tracing to identify activities that differ from defined behavior patterns |
| + | Rule-based Detection Engine | Evaluates events against rules written in YAML; allows users to define detection logic based on their environment. |
| + | Container Security Integration | Observes activities within containerized environments; monitors container metadata alongside system events to detect deviations from expected container activity |
| + | Plugin Architecture | Supports integration with plugins that connect external data sources, thereby expanding the scope of monitored events |
| + | Cloud-native Support | Integrates with Kubernetes and similar platforms; supports monitoring in distributed system setups. |
| + | Log Generation | Stores event data over time so that past system activity can be reviewed at a later time. |
| + | Integration with SIEM Tools | Supports output formats compatible with SIEM systems; helps centralize security events for analysis. |
| + | Kubernetes Audit Monitoring | Reads Kubernetes audit logs to capture cluster activity; assists in monitoring actions within Kubernetes clusters. |
| + | Community-driven Rule Sets | Includes a set of rules maintained by the user community; offers a starting point for event detection scenarios. |
| + | Event Enrichment | Adds metadata from orchestrators and container runtimes to raw event data, improving the context available for security analysis |
| + | Event Correlation | Combines system call data with process context; helps users understand the context around detected events. |
| + | Process Activity Tracking | Records events such as process creation, termination, and modifications to enable review of process activity patterns |
| + | File Operation Monitoring | Tracks file access and modification events to reveal operations that may not align with expected file activity patterns |
| + | Network Activity Monitoring | Observes system calls related to network operations, such as socket and connection calls; helps track network actions. |
| + | Deployment Change Tracking | Monitors changes in container and cluster configuration to register alterations in the deployment environment |
| + | Default Configuration File | Provides a preset configuration file that defines detection settings; reduces the steps needed to begin monitoring. |
| + | Output Customization | Provides multiple output formats including JSON and plain text; facilitates integration with different logging systems. |
| + | Dynamic Rule Management | Updates rules while the monitoring service is running; allows adjustments without restarting the system. |
| + | Rule Simulation Mode | Enables testing of user-defined rules against sample data before deployment, reducing the risk of unintended alerting in production |
| + | System Call Filtering | Applies user-defined criteria to filter system calls, presenting only those events that match specified definitions |
| - | Rule Tuning | Default rules can trigger alerts for non-malicious events that require manual tuning. |
| - | Configuration Complexity | Creating and adjusting rules involves the use of YAML and Falco’s specific rule structure. |
| - | Log Volume Generation | Generates a substantial volume of logs that users must manage. This requires additional log management processes for effective analysis. |
| - | Event Drops | Under heavy system loads, performance issues have been observed to cause a drop in the event capture rate. This reduction in observability can limit the overall security monitoring efficiency. |
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