Analysis
How LLMs Get Hacked: Top 10 Enterprise AI Attacks and Defenses #aisecurity #cybersecurity
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Why it matters
The video gives defenders and DevSecOps teams a consolidated reference on the primary attack surfaces of enterprise LLM deployments and architectural mitigations to apply before rollout.
A TedShark Labs YouTube video walks through the top 10 enterprise LLM attack classes — including direct and indirect prompt injection, sensitive information disclosure, supply chain risks (HuggingFace, SBOMs), RAG data/model poisoning, improper output handling (XSS/SSRF), excessive agency, system prompt leakage, embedding weaknesses, hallucination, and unbounded consumption — and recommends defenses like AI gateways, DLP filters, and zero trust controls.