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Safety, Reliability, and Failure Modes

Manual: General · Subject: Agentic AI

Learn the main risks in agentic systems and how to reduce them.

What can go wrong?

Common failure modes

Agentic systems can fail by taking the wrong action, using a tool incorrectly, misunderstanding the goal, overconfidently making up answers, or entering loops. Because they can act, the impact of mistakes can be larger than in a passive chatbot.

Risk terms

Hallucination
Generating incorrect information confidently
Tool misuse
Calling the wrong tool or using it incorrectly
Runaway loop
Repeated actions without progress
Overreach
Taking actions beyond the intended scope
⚠️

Action amplifies error

If an incorrect answer is only displayed, the damage may be small. If the same error triggers an external action, the damage can be much larger.

Mitigation strategies

To reduce risk, designers use guardrails, permission limits, human approval steps, validation checks, logging, and clear stop rules. Reliability improves when every important action can be reviewed.

Which is a safety strategy for agentic AI?

What is one reason logging is useful in agent systems?

Beginner takeaway

The safest agent is not the most powerful one; it is the one whose actions are appropriate, bounded, and reviewable.

SAFETY & FAILURE MODES

What goes wrong—and how to design against it

🌀 Infinite Loops

Agent keeps calling tools without progress. Cause: bad termination, vague goals.

🎭 Hallucinated Tool Calls

Agent invents tool names/parameters that don't exist, causing crashes.

🗝️ Prompt Injection

External data contains adversarial instructions that hijack your agent.

💸 Cost Runaway

Uncapped loops make thousands of LLM calls. Always set max_steps limits.

📉 Goal Drift

Agent gets distracted by subtasks and forgets the original objective.

🔒 Unsafe Actions

Agent deletes files or sends emails without human confirmation.

Common Failure Causes in Production Agents

Mitigation Strategies

Failure ModeMitigation
Infinite loopsHard max_steps limit + loop detection
Hallucinated toolsForce structured output; validate tool schema
Prompt injectionSanitize external data; isolate system context
Cost runawayToken budgets + cost alerts before each run
Unsafe actionsRequire human confirmation for destructive ops