According to a recent LinkedIn post from Reflectiz, Gartner research is portrayed as warning that traditional questionnaire-based third-party risk management (TPRM) models are increasingly ineffective in the emerging AI environment. The post cites Gartner’s view that by 2028, 70% of organizations and their vendors may rely on generative AI on both sides of the assessment process, with vendors using AI to generate responses and security teams using AI to analyze them.
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The company’s LinkedIn post highlights concerns over whether such AI-mediated exchanges provide a robust basis for risk decisions, and it points readers to an article summarizing Gartner’s recommendations and potential model changes. For investors, this emphasis on structural weaknesses in existing TPRM frameworks suggests growing demand for more advanced, automated, and continuous risk monitoring solutions, a segment in which Reflectiz operates within the broader cybersecurity market.
If organizations shift away from static questionnaires toward continuous threat exposure management and AI-aware risk tools, vendors positioned with differentiated technology could see increased adoption and pricing power. The post therefore implies that evolving AI-driven risk dynamics may expand Reflectiz’s addressable market and reinforce its relevance to CISOs seeking to modernize third-party and web security oversight, though competitive intensity and regulatory developments remain key variables for long-term financial impact.