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New framework theorizes transitive trust in third-party cybersecurity risk

This paper introduces the concept of transitive trust in the context of third-party cybersecurity risk governance. It examines how a security incident involving a vendor, like the November 2025 OpenAI-Mixpanel event, can create accountability problems for the primary service provider. The research proposes the "Fortress and Gatekeeper" framework to explain cybersecurity governance based on trust and data flows, rather than just organizational ownership, and offers implications for vendor management and data handling. AI

IMPACT This research provides a framework for understanding and managing cybersecurity risks associated with AI vendors and their supply chains.

RANK_REASON The cluster contains an academic paper published on arXiv.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework theorizes transitive trust in third-party cybersecurity risk

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yijun Chen, Misita Anwar ·

    Fortress and Gatekeeper: Theorizing Transitive Trust in Third-Party Cybersecurity Risk Governance

    arXiv:2606.26866v1 Announce Type: cross Abstract: Third-party vendors, such as analytics platforms, cloud services, identity providers, and software suppliers, are increasingly embedded in digital service delivery. While these arrangements enable scale and specialization, they al…

  2. arXiv cs.AI TIER_1 English(EN) · Misita Anwar ·

    Fortress and Gatekeeper: Theorizing Transitive Trust in Third-Party Cybersecurity Risk Governance

    Third-party vendors, such as analytics platforms, cloud services, identity providers, and software suppliers, are increasingly embedded in digital service delivery. While these arrangements enable scale and specialization, they also move customer data and security-relevant practi…