T6Defensive Counter-AI
Hardening LLM Applications
Trust boundaries, input and output handling, system-prompt hygiene, least privilege for tools, and isolating untrusted content, so that an injection you cannot prevent still cannot do much.
Intermediate4 min readassociate streamUpdated Sat Aug 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Part ofDefending AI Systems
Learning objectives
- Draw the trust boundaries of an LLM feature and place each control on the right side
- Apply input isolation and output encoding to blunt direct and indirect injection
- Reduce blast radius with least-privilege tool design and system-prompt hygiene
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