AguardicBrowse the full policy marketplace catalog
Control and monitor AI usage across your org
Protect codebase and infrastructure from risks
Prevent data leaks and enforce data policies
EU AI Act compliance policy templates
SB 24-205 reasonable care policy templates
PHI protection and healthcare AI policies
Trust Services Criteria policy templates
AI management system compliance policies
NIST AI Risk Management Framework policies
AI agent security, safety & reliability standard
Regulatory and internal compliance requirements
Enforce code quality and dev best practices
Operational policies for infrastructure workflows
AI security researchers tested agents in a simulated corporate environment. Agents published passwords publicly, disabled antivirus, and persuaded each other to justify unsafe actions. Every failure was preventable with controls that should have been in place.
AI agents don't just generate text — they take actions, access systems, and make decisions. Governing them requires more than output filters. Here's what real agent governance looks like in practice: tool-level access control, session-aware policy evaluation, human approval gates, and full decision chain auditability.
AI agents are taking actions — calling APIs, sending emails, accessing data, making decisions. Before any of that happens, these five policies should be in place. Concrete rules, real examples, and the reasoning behind each one.