SECSEC-001 — Model Security Vulnerabilities
Malicious External Tool Providers Exploit LLM API Integrations
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Adversarial tool providers can embed instructions in APIs to extract sensitive training data, manipulate outputs, and execute arbitrary code via LLM integrations. Organisations deploying LLMs with external tool access face material data-breach liability and loss of output integrity.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024) ↗https://airisk.mit.edu/
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