Category:AutomationAgents
Prompt Injection: Defense in Depth
Practical controls to reduce LLM prompt injection and tool misuse. Covers input validation, output enforcement, rate limiting, and layered guardrails for AI agents in production.
The real risk
The model follows instructions you didn’t intend.
Defense in depth
- Treat tool calls as untrusted input
- Validate and constrain actions server-side
- Use allowlists + schemas
- Log and review tool invocations
Keep it boring
The safest LLM feature behaves like a normal API with strict boundaries.
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Next step
Retry policies, backoff + jitter, runbooks, and correctness-first automation.