How secure are AI agents with database access?
SECURITY THREATS IN AGENTIC AI SYSTEM
October 22, 2024
https://arxiv.org/pdf/2410.14728-
This paper examines security risks associated with AI agents having direct access to databases, particularly focusing on Large Language Models (LLMs).
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LLMs introduce vulnerabilities like attack surface expansion (more entry points for hackers) and data manipulation (via prompt injection, leading to theft, corruption, or automated attacks).
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Using external LLM APIs risks exposing sensitive data due to the lack of control over the provider's data handling practices.
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Developers must implement robust security measures (access control, encryption, monitoring) and be aware of these vulnerabilities to build secure multi-agent systems.