How to Build Safe AI Agents
Practical guardrails — permissions, limits, and review steps — for keeping an AI agent's actions safe.
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Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The main risks: wrong actions, data leaks, prompt injection and runaway costs
- 2Least-privilege tool permissions
- 3Limits on steps, spending and scope
- 4Validating tool inputs and outputs
- 5Requiring confirmation for irreversible actions
- 6Monitoring, alerts and a way to stop the agent
Who it's for
- • Developers deploying agents
- • Security-minded technical leads
You'd leave with
- An agent safety checklist
- Guardrail patterns to implement
- A plan for monitoring agents in use
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