Cybersecurity

LLM Security: The Attack Surface

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The increasing use of LLMs as autonomous agents introduces significant new cybersecurity risks beyond traditional vulnerabilities. Tool poisoning, rug pull attacks, and agent-to-agent injection can compromise agent behavior, while memory manipulation can create lasting impacts. Organizations must also address vulnerabilities in Retrieval-Augmented Generation (RAG) systems, including embedding poisoning and access control bypasses, alongside familiar threats like SQL injection and SSRF, and critically secure the AI supply chain, including model weights and third-party plugins.

Read the full article at System Weakness - Medium

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