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ai deep-dive

The Single Crack in Agent Security: From Prompt Injection to Trust Boundaries to Multi-Agent Worms

Three seemingly distinct agent security problems — tool output injection, trust boundaries, malicious agents — share the same root cause: LLMs flatten instructions and data into a single token stream, making them architecturally unable to distinguish between the two. Understand this through-line and you can trace every attack from EchoLeak (CVE-2025-32711, zero-click) to the Morris II AI worm, and see why 'making the model behave' doesn't work — only architectural constraints (six design patterns, CaMeL) do.

#security#ai-agent#prompt-injection#multi-agent#llm
ai guide

RAG Guardrails: Adding a Defense Layer to Inputs and Outputs

The attacks RAG systems face go beyond the technical level — Prompt Injection and Jailbreak are real threats. Both inputs and outputs need independent protection layers.

#rag#guardrails#security#prompt-injection#safety#llm