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Cybersecurity Management with Agentic AI in Procurement

In: Agentic AI for Procurement

Author

Listed:
  • Bernardo Nicoletti

    (Temple University, Fox School of Business)

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.

Suggested Citation

  • Bernardo Nicoletti, 2026. "Cybersecurity Management with Agentic AI in Procurement," Springer Books, in: Agentic AI for Procurement, chapter 0, pages 347-361, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-23024-9_18
    DOI: 10.1007/978-3-032-23024-9_18
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