Agent Guardrails & Safety
PROImplement safety constraints, access controls, rate limiting, and security measures for AI agents. Protect against prompt injection, unauthorized actions, and data leaks.
Implement safety guardrails for AI agents. Content filtering, rate limiting, and boundary enforcement to prevent misuse.
Example Usage
“Design guardrails for our customer data AI agent. It should never expose PII in logs, must validate all inputs against injection attacks, limit API calls to 100/minute per user, require authentication for all actions, and audit every data access. The agent handles financial data so we need SOC2 compliance. Block any attempts to access data outside the user’s permissions.”
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Suggested Customization
| Description | Default | Your Value |
|---|---|---|
| Security posture for the agent | enterprise | |
| Sensitivity of data handled | confidential | |
| Deployment environment | production | |
| Compliance requirements | soc2 |
What You’ll Get
- Input validation rules
- Authentication & authorization setup
- Policy enforcement configuration
- Content filtering implementation
- Rate limiting rules
- Monitoring and alerting setup
- Compliance documentation
Research Sources
This skill was built using research from these authoritative sources:
- What Are AI Guardrails? - McKinsey McKinsey's explanation of AI guardrails
- AI Guardrails: Enforcing Safety Without Slowing Innovation Security-focused guide to AI guardrails
- Implementing Effective Guardrails for AI Agents - GitLab GitLab's practical guide to agent guardrails
- Agentic AI Safety Best Practices 2025 Enterprise best practices for agentic AI safety
- Adding Guardrails for AI Agents - Reco Policy and configuration guide for agent guardrails
- AI Guardrails in Agentic Systems - AltexSoft Technical overview of guardrails in agentic systems