| CPC G06F 16/2365 (2019.01) | 20 Claims |
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1. A method of risk assessment for a target dataset including a plurality of records, the method implemented in a computing system and comprising:
receiving, by one or more processors and from a data source, information related to a plurality of datasets including the target dataset;
automatically determining, by the one or more processors, dependencies on the target dataset using logs indicative of read and write operations related to the target dataset;
generating, by the one or more processors and using the determined dependencies, a dependency graph indicative of the read and write operations, within the plurality of datasets, on the target dataset, wherein each operation of the read and write operations represents an edge within the dependency graph;
determining, by the one or more processors and using the generated dependency graph, a level of risk associated with the target dataset, wherein the level of risk is based on a risk of corruption (ROC) and an impact of corruption (IOC) for the target dataset; and
providing, by the one or more processors, an indication of the determined level of risk.
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