TISC Data Processing Functional Flow

  • Release version: Xanadu
  • Updated August 1, 2024
  • 2 minutes to read
    • Summarize
    Summarized using AI
    This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.

    Summary of TISC Data Processing Functional Flow

    The Threat Intelligence Security Center (TISC) automates data collection and processing, easing the workload for Threat Intel Analysts by eliminating manual steps. Data can be ingested from preconfigured sources on a schedule, imported by analysts, or added manually.

    Show full answer Show less

    Key Features

    • Source Tables: These contain data related to various entities fetched from multiple sources.
    • Aggregated Records: These tables aggregate data for specific entities from all source records.
    • Inbound Filtering Rules: Filters validate incoming records against predefined rules to determine if they should be processed or filtered out.
    • De-Duplication Logic: Validates whether a source record is a duplicate of existing records before aggregation.

    Key Outcomes

    Upon successful data import, records are created in source tables and filtered according to configured rules. Non-filtered records undergo de-duplication to ensure data integrity. Records that are duplicates are marked accordingly, while unique records are prepared for aggregation. The aggregation process updates fields in the aggregated records based on predefined criteria, enhancing the overall data quality in the Threat Intel library.

    Threat Intelligence Security Center (TISC) provides a solution that automates the data collection and processing which helps reduce the burden on Threat Intel Analysts by avoiding manual steps involved.

    Threat Intelligence Security Center (TISC) collects intelligence using one of the following methods:

    1. Ingestion from data sources that are preconfigured and run on a schedule.
    2. Threat Intel Analysts importing data using the Import Intelligence feature.
    3. Manually creating individual records within the application.
      Note:
      The data collected in the application will be processed to normalize, de-duplicate, and aggregate the information before loading into Threat Intel library.

    Basic terminology used in Data Processing

    1. Source Tables: The Source tables contains the data related to the entities that are fetched from multiple sources, and then the records will be created by each source.
    2. Aggregated Records: The Aggregated records tables contains the data related to a specific entity by aggregating the data from all the source records of a specific entity.

    TISC Data Flow

    1. On a successful execution of import intelligence/Data Source, the records would be created in the corresponding source tables.
    2. Once data comes into source table, the data goes through Filtering logic to validate if the record should be filtered based on configured Inbound Filtering Rules. (Let’s consider SourceRecord1 as a source record for our explanation).
    3. If the record gets filtered by any of the configured Inbound Filtering Rules, the corresponding source record (SourceRecord1) is marked as Filtered and rule which filtered the record can be found in Applied Filter Rule.
    4. Let’s assume the source record (SourceRecord1) aggregates to AggregateRecord1.
    5. If the record is not filtered, the record is marked for de-duplication by setting processing status to Ready for De-Duplication.
    6. De-Duplication logic validates the below:
      1. Whether incoming source record (SourceRecord1) is duplicate of any existing source records for AggregateRecord1.
      2. Any of the existing source records for AggregateRecord1 is a duplicate of incoming source record (SourceRecord1).
    7. Every entity has specific fields and relationships based on which the source record is validated for Duplication.
    8. If incoming source record (SourceRecord1) is a duplicate of any existing source record of AggregateRecord1, the incoming source record (SourceRecord1) is marked as Duplicate.
    9. If any of the existing source record (Existing Source Record1) of AggregateRecord1 is identified as duplicate of incoming source record (SourceRecord1), then existing source record (Existing Source Record1) is marked as Duplicate and incoming source record (SourceRecord1) is marked for aggregation by setting the processing status to Ready for Aggregation.
    10. As part of aggregation, fields of aggregated record AggregateRecord1 will be updated based on values from multiple source records will be aggregated as per the predefined criteria defined in the system.
    Data Processing in TISC