Enterprise security teams face increasing risks with AI integration into productivity tools. When teams sign up for AI applications, they often inadvertently grant these systems unfettered access to sensitive data through OAuth prompts. This creates non-human identities (NHIs) that can access core business systems, amplifying existing risks and introducing complex, unique threats.
Traditional identity and access management (IAM) struggles with these AI systems, which operate as black boxes, making credential lifecycle management challenging. AI is inherently non-deterministic, meaning its behavior can be unpredictable, and it can be manipulated into beyond its intended functionality.
The pressing issue arises from retrieval-augmented generation (RAG) poisoning, where attackers can tamper with the AI’s data sources to extract sensitive credentials. Without proper oversight and governance, security teams risk being overwhelmed by rapidly proliferating AI agents with expansive access, making it critical to establish robust monitoring and auditing processes.
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