A security-focused breakdown of prompt injection as an attack vector against tool-using LLMs, including how reconnaissance works and what defensive patterns can reduce risk when agents are connected to real systems.
Why it matters: Prompt injection turns untrusted text into a control channel for your agent. If the agent has tools, credentials, or write-access, the blast radius can be real—so teams need concrete design patterns, not just ‘be careful with prompts’.
Singularity Soup Take: Prompt injection is basically social engineering for tool-using LLMs, and the fix looks like classic security engineering: least privilege, compartmentalisation, and logs—because no amount of ‘system prompt hardening’ will cover every edge case.
Watch on YouTube — howtonetwork