Agentic Commerce: A Comprehensive Analysis of Cybersecurity Risks, Privacy Challenges, and Trust Mechanisms in Autonomous AI-Driven Marketplaces
Abstract
The evolution of agentic commerce shows a paradigm shift in digital marketplaces, where autonomous AI agents perform transactions, provide personalized experiences, and make purchases with minimal human intervention. This research paper presents an extensive analysis of the cybersecurity and privacy risks along with comprehending the trust mechanisms implicit in agentic AI powered commerce systems. In this paper, we perform a detailed analysis of current market trends, security vulnerabilities, and case studies of the agentic commerce implementations. We also discuss the threat vectors associated with prompt injection, data poisoning, multi-agent cascading failures, and identity management vulnerabilities.
Fields of Study & Subjects
Impact of AI and Big Data on Business and Society
Ethics and Social Impacts of AI
Blockchain Technology Applications and Security
Publication details
- Journal / source
- 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)
- Publisher
- IEEE
- Pages
- 1–6
- Publication date
- 18 February 2026