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This rules reference provides detailed information on each of the built-in rules in Flint AI Platform, including explanations of the security risks, compliance threats, and recommended actions. Browse or search our comprehensive library of rules to understand the underlying issues and potential impacts. Each rule reference includes:
  • A brief description of the issue and its potential impact
  • Information on relevant compliance and regulatory requirements
  • Explanations of the security risks and potential consequences of not addressing the issue
  • Specifications for the rule pass/fail policy and severity criteria
  • References to industry-recognized standards and best practices
Use this reference to better understand Flint AI Platform rules, and for guidance in creating custom rules for your specific security and compliance needs.

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Rules by category

Discovery rules

Static analysis findings about missing configurations, metadata, and evaluation scores detected during agent discovery.

MCP server rules

Vulnerabilities in MCP servers, tools, and their configurations.

Agent runtime rules

Runtime behavior vulnerabilities in agent execution, memory, communication, and control flow.