Prompt Injection: Defense in Depth

Practical controls to reduce LLM prompt injection and tool misuse.

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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A production-first playbook to stop 429 storms: diagnose the limiter type, add guardrails, and log the signals you need to stop guessing.

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A production playbook for preventing infinite loops: bounded retries, stop conditions, error classification, and escalation that actually helps humans.

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An incident-ready retry policy for production automation: stop rules, exponential backoff + jitter, caps, budgets, and the logs operators need.