The original title is about guardrails for AI agents. Let me rewrite it to be more specific and punchy while keeping key facts.

Short summary

AI agents deployed to users need defense-in-depth guardrails: input validation, safety classifiers, PII filters, and tool-level risk checks. Escalate high-stakes actions to humans until the agent proves trustworthy. Build iteratively, starting with privacy and safety, then add more guardrails as real-world failures surface.

• •Layer multiple guardrails (input validation, safety classifiers, PII filters, tool-level checks) to catch different risks
• •Escalate high-risk actions and repeated failures to human operators until the agent earns trust
• •Design guardrails iteratively starting with privacy and safety, then tune based on real-world edge cases

Generated with AI, which can make mistakes.