AgenTRIM: Tool Risk Mitigation for Agentic AI
AgenTRIM proposes a risk-mitigation framework for AI agent tool permissions, tackling indirect prompt injection and tool misuse through structured least-privilege governance.
Summary written by editorial AI · Source link below
arXiv:2601.12449v2 Announce Type: replace Abstract: AI agents are autonomous systems that combine LLMs with external tools to solve complex tasks. While such tools extend capability, improper tool permissions introduce security risks such as indirect prompt injection and tool misuse. We characterize these failures as unbalanced tool-driven agency. Agents may retain unnecessary permissions (excessive agency) or fail to invoke required tools (insufficient agency), amplifying the attack surface an
Editorial Analysis
As enterprises grant AI agents access to business tools, uncontrolled permissions create prompt-injection and misuse risks that existing IAM models do not address.
Implement structured tool-permission policies with least-privilege defaults for all agentic AI deployments.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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