CHECKLIST · 5 MIN READ

AI Agent Security Checklist 2026

May 2026 · By SoruvaGuard Team

AI agents can read emails, browse the web, run code, and take actions in the real world. That power comes with serious security responsibilities that most teams are ignoring.

Use this checklist before shipping any AI agent to production. Check items off as you go.

CHECKLIST PROGRESS 0 / 12 complete

Input Security

Prompt injection detection CRITICAL
Scan all user inputs and external content for injection patterns before passing to your model. Both direct and indirect injection vectors.
Input sanitization CRITICAL
Strip or escape characters that could interfere with your system prompt. Treat all external input as untrusted.
Rate limiting on inputs IMPORTANT
Prevent attackers from brute-forcing injection variants by rate limiting API calls per user and IP.

Output Verification

Hallucination scoring CRITICAL
Every factual AI output should be scored for hallucination risk before being shown to users or used downstream.
Source URL verification IMPORTANT
If your AI cites sources, verify those URLs exist and the content matches the claim. Fabricated citations are rampant.
Risky content filtering IMPORTANT
Classify outputs for harmful content before surfacing to users. Don't rely solely on the model's built-in safety.

Agent Behavior

Principle of least privilege CRITICAL
Your agent should only have access to the tools and data it needs for its specific task. Never give blanket permissions.
Human-in-the-loop for destructive actions CRITICAL
Any irreversible action (deleting data, sending emails, making payments) requires explicit human confirmation.
Agent action logging IMPORTANT
Log every tool call, every decision, and every output. You need an audit trail when something goes wrong.
Runaway detection IMPORTANT
Set hard limits on agent iterations, tool calls per session, and cost per task. Kill runaway agents automatically.

Monitoring & Compliance

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