You can access these options in the BX5 Asset Analysis menu.
What You Can Do Here
Configure the Asset Inventory through the "Company Settings" section.
Access BX5 Asset Analysis to view the number of configured sensors.
Monitor the number of configured data connectors that feed asset data into the system.
View the number of Raw Assets ingested from data sources before deduplication.
Analyze the number of Analyzed Assets after deduplication to understand asset scope.
Access the Categorized Assets view to see assets with sufficient data fidelity for proper categorization.
Identify assets with poor visibility that lack enough data fidelity for accurate categorization; these are excluded from dashboards and risk calculations.
Explore the Transient Assets table, which lists assets last observed more than 7 days ago (or 2 days for cloud assets) and are excluded from dashboards and risk assessments.
Review the Recently Retired Assets that were removed from inventory within the last 7 days due to a lack of observations.
Follow this procedure to see the BX5 Asset Analysis:
You can also see the walkthrough in this link
The BX5 Asset Analysis shows you the following information:
The number of configured Sensors.
the number of configured data Connectors.
Raw Assets is the number of assets ingested from data sources before deduplication.
Analyzed Assets is the number of assets after deduplication.
Categorized Assets shows you the assets that have sufficient data fidelity for accurate categorization.
Assets with Poor Visibility shows you the assets have insufficient data fidelity for accurate asset categorization, and are therefore excluded from dashboards and risk calculations.
Transient Assets shows you assets that where last observed more than 7 days ago (or 2 days ago for cloud assets), with both first and last observed times within the same day; they are excluded from dashboards and risk calculations.
Recently Retired Assets were retired within the last 7 days due to lack of observations; they are excluded from dashboards and risk calculations. For assets observed only via Balbix sensors such as the Balbix Host Analyzer, the retirement period is 30 days—meaning the asset will be retired if the sensor has not reported any activity for 30 consecutive days.
BX5 System Architecture
BX5’s architecture is built around data aggregation, deduplication, and AI-driven analysis. The system ingests data from multiple sources, processes it to remove redundancies, and enriches it with contextual information. The AI fabric then classifies, categorizes, and scores exposures and assets for a comprehensive risk analysis.
Data Processing Flow
Data Ingestion
Integration with third-party tools and Balbix-native sensors
API-driven ingestion of asset data
Continuous syncing and updates from connected systems
Data Deduplication and Normalization
Eliminating Redundant Asset Entries: BX5 intelligently identifies and removes duplicate records to ensure asset data remains clean, reducing noise in vulnerability and risk assessments.
Structuring Data According to the Balbix Unified Asset Model: Standardizing and normalizing asset attributes ensures compatibility with analytical models and consistent risk scoring.
Contextual Enrichment of Asset Details: The AI fabric enhances asset records with contextual information, such as business impact, exposure level, and operational relevance. This allows for more accurate risk prioritization.
Customer-Driven Workflow: Instead of making judgement on with low-fidelity data, BX5 clearly distinguishes between high-fidelity categorized assets and unverified assets, ensuring customers can make informed decisions regarding additional data verification steps.
Asset Categorization and Verification
Categorizing Assets into On-Premise and Cloud Types: The AI fabric applies predefined classification logic to separate assets based on their location and infrastructure type. Please refer to the categorization document for further.
Identifying Unverified Assets for Further Input: BX5 highlights assets that lack sufficient data for proper categorization, shifting responsibility to the customer for verification or data augmentation.
Segregation for Parallel Workstreams: BX5 does significant processing to ensure assets are grouped into two key categories:
High-Fidelity Categorized Assets: These are leveraged for exposure and risk management, driving security response workflows.
Unverified Assets: Customers are provided with clear action items to reduce unknowns by either adding more data sources or manually verifying assets.
Key Outcome: BX5’s asset processing ensures clarity in asset fidelity, making it easier for customers to prioritize security initiatives. By separating assets into distinct categories, organizations can efficiently allocate resources and focus efforts where they matter most.
BX5’s internal architecture and processes ensure a robust approach to asset and risk management. By continuously refining its data models, enhancing automation, and leveraging AI-driven insights, BX5 enables the organization to proactively manage security risks and maintain an optimized cybersecurity posture.