IDEAS home Printed from https://ideas.repec.org/h/spr/fuobcp/978-3-031-54252-7_5.html

GenAI Data Security

In: Generative AI Security

Author

Listed:
  • Ken Huang

    (DistributedApps.ai)

  • Jerry Huang

    (Metabase)

  • Daniele Catteddu

    (Cloud Security Alliance)

Abstract

This chapter provides an in-depth exploration of data security within the realm of GenAI. Highlighting the pivotal role of data, often likened to the “oil” of the digital age, the chapter navigates data’s lifecycle from collection to disposal. The narrative underscores the importance of secure collection, preprocessing, storage, and transmission. The chapter delves into data provenance, stressing the need to understand, verify, and validate data’s journey. Training data management is highlighted, with a focus on how training data can impact model performance, data diversity, and responsible disposal. Throughout, the chapter accentuates the significance of trust, transparency, and responsibility, offering insights into best practices in GenAI data security.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-54252-7_5
DOI: 10.1007/978-3-031-54252-7_5
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;
;
;
;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:fuobcp:978-3-031-54252-7_5. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.