Cybersecurity Management with Agentic AI in Procurement

Bernardo Nicoletti
Additional contact information
Bernardo Nicoletti: Temple University, Fox School of Business

Chapter Chapter 18 in Agentic AI for Procurement, 2026, pp 347-361 from Springer

Abstract: Abstract By enabling systems to function autonomously, agentic artificial intelligence (AAI) has the potential to change the procurement process drastically. This sets it apart from generative AI (GenAI) and traditional automation. Although this change brings many benefits, such as unprecedented cost savings, greater efficiency, and promoting procurement to a strategic role, new risks also arise. These are complex and include information risks from poor quality data, social and ethical risks such as bias and unclear accountability, operational difficulties in system integration and unexpected behaviors, and serious cybersecurity threats such as AI malware and prompt injection. Organizations need to implement a thorough risk management strategy. Strong technical safeguards, organizational monitoring, and human-centric initiatives such as workforce development and human-in-the-loop monitoring should be integrated into this framework. Organizations can responsibly harness the transformative potential of AAI while reducing risk by establishing sound governance and adhering to international standards. This will ensure that procurement in the future is not only practical but also ethical, legal, and reliable.

Keywords: Procurement; Threats; Cybersecurity; Agentic AI; Risk; Ethical AI (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-23024-9_18

Ordering information: This item can be ordered from
http://www.springer.com/9783032230249

DOI: 10.1007/978-3-032-23024-9_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().