Cloud Security Alliance Paper Addresses Challenges of Implementing Zero Trust in Environments Where Artificial Intelligence (AI)-induced Shadow Access Is Prevalent
Authored by CSA’s Identity and Access Management Working Group , the paper examines the intersection of Shadow Access with two of today’s most top-of-mind technologies – Zero Trust and Artificial Intelligence – and underscores the necessity of adapting traditional Zero Trust approaches to the nuances of Generative AI (GenAI) technology to mitigate AI-induced Shadow Access vulnerabilities and strengthen cybersecurity in an evolving landscape.
- Authored by CSA’s Identity and Access Management Working Group , the paper examines the intersection of Shadow Access with two of today’s most top-of-mind technologies – Zero Trust and Artificial Intelligence – and underscores the necessity of adapting traditional Zero Trust approaches to the nuances of Generative AI (GenAI) technology to mitigate AI-induced Shadow Access vulnerabilities and strengthen cybersecurity in an evolving landscape.
- Whereas a growing number of organizations are embracing the principles of Zero Trust, with its philosophy of "Never Trust, Always Verify," they are simultaneously encountering significant challenges in fully implementing it in cloud-native architectures where Shadow Access is prevalent.
- Therefore, it’s critically important that, as enterprises continue on their cloud security journey, they understand how Shadow Access and Zero Trust are intertwined and how the advent of GenAI and its accompanying tools has exacerbated the problem of Shadow Access," said Ryan Gifford, Research Analyst, Cloud Security Alliance.
- “As more companies embrace GenAI, the Working Group felt it was important to shed light on the challenges Shadow Access poses to Zero Trust and provide a path to Zero Trust’s successful implementation.”
The paper offers key takeaways such as:
An overview of Shadow Access, Zero Trust, GenAI, and Large Language Models