
API service providing historical execution data of files to support deeper security analysis.
Vendor
G DATA CyberDefense
Company Website
The File History API provides historical information about how often and when specific files have been executed. It enables security systems and analysts to retrieve execution statistics for queried files in order to support deeper investigations. The service delivers timestamps of the first and last observed execution as well as information about execution frequency. These data points can serve as indicators for assessing whether a file behaves unusually or should be blocked before further analysis. By integrating the API into existing workflows, organizations can automatically enrich their security decisions with historical execution context and use this information as a starting point for more detailed investigations.
Key Features
Historical Execution Data Provides records of file execution activity.
- Information on how often a file was executed
- Historical visibility into file usage
First and Last Execution Timestamps Delivers time-based context for files.
- Timestamp of first observed execution
- Timestamp of most recent execution
API-Based Access Allows automated retrieval of execution history.
- Easy integration into security systems
- Supports automated enrichment processes
Foundation for Deeper Analysis Supplies contextual indicators for risk evaluation.
- Identifies unusual execution patterns
- Enables pre-analysis blocking decisions
Benefits
Improved Risk Assessment Adds historical context to file evaluation.
- Detects rarely executed or newly observed files
- Highlights abnormal execution frequency
Early Blocking Decisions Supports preventive security actions.
- Blocks suspicious files before deeper inspection
- Reduces exposure to potentially harmful files
Automation of Security Workflows Integrates into existing infrastructures.
- Enables automated enrichment in SOC processes
- Reduces manual data collection efforts
Enhanced Investigation Efficiency Provides clear starting points for analysis.
- Focuses attention on anomalous files
- Speeds up triage processes