Large Language Models (LLMs) are revolutionizing the way we interact with technology. As a result, SaaS vendors are vying for a competitive edge by integrating AI features, offering enterprises tools such as AI-based sales insights or coding co-pilots.
Traditionally, zero-trust security models have relied on a clear distinction between users and applications. Yet, LLM-integrated applications disrupt this distinction, functioning simultaneously as both.
This reality introduces a new set of security vulnerabilities, such as data leakage, prompt injection, risky access to online resources, and even access to corporate resources on behalf of employees.
To address these challenges in LLM deployment, a unique set of zero-trust measures is needed.
Read more to see a few examples of what can go wrong when adopting GenAI services and why organizations should start considering a zero trust AI access (ZTAI) approach.
