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.
Related posts
WebSocket Reconnection That Actually Works: Auto-Reconnect Guide for Trading Bots
Complete WebSocket auto-reconnect guide for trading bots. Implement automatic reconnection with exponential backoff, heartbeat ping-pong, message gap detection, and state recovery. Production-tested TypeScript code included.
Crash Recovery: Reconciliation Loops That Prevent Double Orders
Build crash-proof trading bots with reconciliation loops that detect and correct out-of-sync state on restart—preventing double orders and orphan positions.
Bybit error 10006: params timestamp illegal — why it happens and how to fix it
When Bybit returns error 10006 "params timestamp illegal": why your trading bot's requests are rejected, the difference from Binance -1021, and the clock sync that prevents it.
Next step
Retry policies, backoff + jitter, runbooks, and correctness-first automation.