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AssigneeAcronis International GmbH
InventorsCandid Wuest, Serg Bell, Stanislav Protasov
Estimating the term…
Systems and methods for mitigating potential security incidents. A system includes a data ingestion module, a graphical user interface (GUI), a generative AI model, an enrichment module, and a mitigation module. The generative AI model is pretrained on a large language model (LLM) using a dataset of known security incidents and the computer system's infrastructure, and analyses potential security incidents and generates incident overviews, leveraging its understanding of attack frameworks and previous incident data. The enrichment module incorporates user interactions, enhancing the incident overviews with accurate information. The mitigation module proposes mitigation actions based on the generative AI model's insights gained from prior incidents. The system enables natural language interaction through the GUI and provides graphical representations of the incidents. With its ability to summarize incidents, propose actions, and support user understanding, the system offers an efficient approach to mitigating security incidents.
A computer-implemented method of mitigating a potential security incident in a computer system, the method comprising:
A computer system for mitigating potential security incidents, the system comprising:
A computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform a method of mitigating potential security incidents in a computer system, the method comprising:
Dependencies are inferred from the claim text.