Google patents AI tool that suggests faults to test system resilience
Google describes a system that maps how different parts of a computing network rely on each other using a diagram called a dependency graph. A machine-learned model analyzes this map along with a user's request for a specific level of reliability, then suggests specific faults to introduce into the system.
In the filing’s own words
Systems and methods for fault engineering using sequence processing models can include accessing metadata indicative of one or more computing resources that are associated with a computing system, wherein the metadata includes static metadata and dynamic metadata. The method can include generating, based on the metadata, a dependency graph, wherein the dependency graph includes one or more nodes corresponding to the one or more computing resources that are associated with the computing system. The method can include processing, by a machine-learned model, the dependency graph and a user prompt, wherein the user prompt is associated with a resiliency level of the computing system. The method can include generating, by the machine-learned model, a fault suggestion, wherein the fault suggestion is configured to modify a computing environment of at least one computing resource of the one or more computing resources associated with the computing system.
What exactly they claim (claim 1)
1. A computer-implemented method comprising: accessing metadata indicative of one or more computing resources that are associated with a computing system, wherein the metadata comprises static metadata and dynamic metadata; generating, based on the metadata, a dependency graph, wherein the dependency graph comprises one or more nodes corresponding to the one or more computing resources that are associated with the computing system; processing, by a machine-learned model, the dependency graph and a user prompt, wherein the user prompt is associated with a resiliency level of the computing system; and generating, by the machine-learned model, a fault suggestion, wherein the fault suggestion is configured to modify a computing environment of at least one computing resource of the one or more computing resources associated with the computing system.
Facts
- Company
- Google (Google LLC)
- Official title
- Fault Engineering Using a Sequence Processing Model
- Publication number
- US20260310533A1
- Application number
- 19642346
- Filed
- Apr 8, 2026
- Published
- Oct 8, 2026
- Inventors
- 4
- Claims
- 20
Classified under
G06F 11/008 Physics & computingMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.