Written By:
Weiyee In, CIO Protego Trust Bank
Jim Skidmore, CISSP, PgMP, VP intiGrow
Adam McElroy, Eclypses Principal Architect
(Special Thanks to Brandon Miller, John C. Checco, and JC Vega)
Introduction
The rapidity and discontinuity of innovation and technological advancement and adoption of Generative AI (GenAI) Large Language Models (LLMs) have introduced an exponentially hyper-complex landscape of security challenges. Several of the challenges beyond more traditional data privacy and security issues came to the fore with the recent launch of DeepSeek and the challenges for transparency and reliability of GenAI LLMs and Agents. This white paper examines some of the technical aspects of these issues, focusing on identity confusion, data privacy, shadow GenAI risk for enterprise, national security concerns, cybersecurity vulnerabilities, and regulatory compliance. We will also explore the integration of digital identity and blockchain technologies for GenAI LLM agents to address some of these security challenges and industry pain points and meet growingly stringent regulatory requirements.
