Insight / AI Security
Securing LLM Applications Against Prompt Injection
Where untrusted text enters, and what to review before go-live.
Published: Jul 2026
Author: AkonnAI
Reading Time: 5 min read
When natural language is both data and instruction, classic input checks fall short. Prompt injection (direct or via retrieved content) can change model behavior, leak context or trigger unsafe tools. Start with threat modelling, retrieval hygiene, least privilege and human review for sensitive actions.
Key takeaways
- •Map where untrusted text can enter prompts or retrieved context.
- •Separate privileges for tools, data access and model actions.
- •Test abuse cases before production rollout, then monitor continuously.
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