Technical GuideCloud6AI
Cloud6AI Guide to Securing AI Agents
Cloud6AI guidance for reviewing AI agents, tool permissions, retrieval boundaries, evaluation gaps, and runtime monitoring.
Overview
An agent may combine retrieved information, delegated access, and tool execution in a single workflow. Start by mapping what it can read and do. Review tool permissions, test how untrusted content can influence actions, and define monitoring for unsafe execution or sensitive-data exposure.
A starting review for AI agents
- 01Map the agent’s data sources, tools, credentials, and actions before deployment.
- 02Limit tool permissions to the tasks the agent needs; require approval for high-impact actions.
- 03Test prompt-injection and data-exposure scenarios across retrieved content and tool responses.
- 04Log consequential actions and define who reviews failures, unexpected behavior, and access changes.
Related resources
Cloud Security
Cloud Readiness Checklist
Cloud6AI checklist for reviewing cloud identity, exposure, workload configuration, logging, governance, and remediation ownership.
Vulnerability ManagementRemediation Playbook
Cloud6AI playbook for turning vulnerability findings into exposure-aware, owner-routed remediation work.
Agentic AI SecurityOWASP GenAI
OWASP project focused on security risks and guidance for generative AI and LLM applications.