A method of organizing and storing non-human identities (NHIs) in a way that facilitates efficient access and modification.
Description
In the context of Non-Human Identities (NHIs), a data structure refers to a systematic way of organizing, managing, and storing information related to entities that are not human, such as machines, devices, or software agents. These structures are essential for enabling efficient data retrieval, manipulation, and representation of NHIs in various applications, including artificial intelligence, IoT systems, and databases. Common data structures include arrays, linked lists, trees, and graphs, each serving specific purposes based on the nature of the data and the operations required. For instance, a tree structure may be used to represent hierarchical relationships between devices, while a graph could model interactions between multiple NHIs. The choice of data structure can significantly affect the performance of algorithms that operate on NHIs, influencing factors like speed, memory usage, and ease of implementation.
Examples
- A tree structure representing a network of IoT devices.
- A graph structure modeling relationships between various software agents.
Additional Information
- Data structures can enhance the scalability of systems managing NHIs.
- Choosing the right data structure is crucial for optimizing performance in NHI applications.
References
- NHI Characteristics. Non-Human Identities (NHIs)… | Sep, 2024
- What Are Non-Human Identities and Why Do We Need Them?
- A Human's Guide to Non-Human Identities (NHIs) - Aembit
- Non-Human Identity Security: Taming the Wild West of IT
- The Crucial Role Of Non-Human Identity And Secrets Management
- What are Non-Human Identities? - Natoma
- Three ways to thwart non-human identity attacks | SC Media
- The Complete Guide to the Growing Impact of Non-Human Identities ...
- Decommissioning orphaned and stale Non Human Identities
- Digital Environments Engaging in Non-Human Identities Require ...