Darktrace Holdings Limited (20240333743). GENERATION OF EMBEDDINGS AND USE THEREOF FOR DETECTION AND CYBER SECURITY ANALYSIS simplified abstract
Contents
- 1 GENERATION OF EMBEDDINGS AND USE THEREOF FOR DETECTION AND CYBER SECURITY ANALYSIS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATION OF EMBEDDINGS AND USE THEREOF FOR DETECTION AND CYBER SECURITY ANALYSIS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
GENERATION OF EMBEDDINGS AND USE THEREOF FOR DETECTION AND CYBER SECURITY ANALYSIS
Organization Name
Inventor(s)
Timothy Bazalgette of Knebworth (GB)
Phillip Sellars of Cambridge (GB)
Dickon Murray Humphrey of Cambridge (GB)
GENERATION OF EMBEDDINGS AND USE THEREOF FOR DETECTION AND CYBER SECURITY ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240333743 titled 'GENERATION OF EMBEDDINGS AND USE THEREOF FOR DETECTION AND CYBER SECURITY ANALYSIS
Simplified Explanation
An apparatus described in the patent application uses artificial intelligence to generate an embedding representing an entity's cyber security status based on its identifier.
- The apparatus includes a memory and a processor.
- The processor generates the embedding using an AI model trained with a dataset of identifiers.
- The embedding represents the cyber security status of the entity with an unknown status.
Key Features and Innovation
- Utilizes artificial intelligence to assess cyber security status.
- Generates embeddings based on entity identifiers.
- Trained AI model with a dataset of identifiers.
Potential Applications
This technology could be used in various industries such as cybersecurity, data protection, and threat detection.
Problems Solved
- Provides a method to determine cyber security status of entities with unknown status.
- Enhances threat detection capabilities.
- Improves data protection measures.
Benefits
- Increases efficiency in assessing cyber security status.
- Enhances overall cybersecurity measures.
- Provides a proactive approach to threat detection.
Commercial Applications
Potential commercial applications include cybersecurity software development, data protection services, and threat detection solutions for businesses.
Prior Art
Readers can explore prior art related to this technology in the fields of artificial intelligence, cybersecurity, and data analysis.
Frequently Updated Research
Stay updated on the latest research in artificial intelligence, cybersecurity, and data protection to further enhance the capabilities of this technology.
Questions about the Technology
How does the apparatus determine the cyber security status of entities with unknown status?
The apparatus uses an AI model trained with a dataset of identifiers to generate embeddings representing the cyber security status of entities.
What are the potential implications of this technology in the cybersecurity industry?
This technology could revolutionize threat detection, data protection, and overall cybersecurity measures in various industries.
Original Abstract Submitted
in an embodiment, an apparatus is described. the apparatus comprises a memory and a processor coupled to the memory. the processor is configured to generate an embedding representative of an entity with an unknown cyber security status based on an identifier of the entity. the embedding is generated using an artificial intelligence (ai) model trained with a dataset comprising a set of identifiers that identify a corresponding set of other entities.
