Google llc (20240311366). MANAGING DATA RISK USING AUTOMATED DEPENDENCY DISCOVERY simplified abstract
Contents
MANAGING DATA RISK USING AUTOMATED DEPENDENCY DISCOVERY
Organization Name
Inventor(s)
Gavin Manning of Mountain View CA (US)
Paul Vanlint of Mountain View CA (US)
MANAGING DATA RISK USING AUTOMATED DEPENDENCY DISCOVERY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240311366 titled 'MANAGING DATA RISK USING AUTOMATED DEPENDENCY DISCOVERY
The abstract of the patent application describes a system that assesses the risk for a target dataset by analyzing dependencies within a plurality of datasets, using logs of read and write operations related to the target dataset.
- The system receives information from a data source about multiple datasets, including the target dataset.
- It automatically determines dependencies on the target dataset using logs of read and write operations.
- A dependency graph is generated based on the determined dependencies within the datasets.
- The system then calculates the level of risk associated with the target dataset using the generated dependency graph.
- Finally, it provides an indication of the determined level of risk.
Potential Applications: - Data security and risk assessment in large datasets. - Compliance monitoring in regulated industries. - Data governance and management in organizations.
Problems Solved: - Identifying and managing risks associated with specific datasets. - Understanding dependencies within complex data systems. - Improving data security and compliance measures.
Benefits: - Enhanced data security and risk management. - Streamlined compliance processes. - Improved decision-making based on accurate risk assessments.
Commercial Applications: Title: Data Risk Assessment System for Enterprise Security This technology can be used by large enterprises in industries such as finance, healthcare, and technology to ensure data security, compliance, and risk management. It can also be marketed to data management companies and cybersecurity firms.
Questions about the Technology: 1. How does this system differentiate between different levels of risk within the datasets? - The system uses the generated dependency graph to analyze the strength and impact of each dependency on the target dataset, allowing for the differentiation of risk levels.
2. Can this technology be integrated with existing data management systems? - Yes, the system can be integrated with existing data management systems to enhance data security and risk assessment capabilities.
Original Abstract Submitted
to assess risk for a target dataset including a plurality of records, a system receives, from a data source, information related to a plurality of datasets including the target dataset; automatically determines dependencies on the target dataset using logs indicative of read and write operations related to the target dataset; generates, using the determined dependencies, a dependency graph indicative of dependencies, within the plurality of datasets, on the target dataset; determines, using the generated dependency graph, a level of risk associated with the target dataset; and provides an indication of the determined level of risk.
