Run a System of Record adjudication on an entity surfaced by an AI engine (e.g. is 'Banner Life' a valid PMI competitor to Enact?). Uses dual-model consensus (Haiku 4.5 + Gemini Flash, escalating to Sonnet 4.6 + Gemini Pro on disagreement) against a versioned taxonomy. Returns the Why Drawer head...
Part of the Ninar AI server.
Free to start. No card required.
AI agents invoke audit_brand_visibility to trigger processes or run actions in Ninar AI. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
audit_brand_visibility can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"audit_brand_visibility": {
"limits": [
{
"counter": "audit_brand_visibility_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Ninar AI policy for all 5 tools.
These attack patterns abuse exactly the kind of access audit_brand_visibility gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Run a System of Record adjudication on an entity surfaced by an AI engine (e.g. is 'Banner Life' a valid PMI competitor to Enact?). Uses dual-model consensus (Haiku 4.5 + Gemini Flash, escalating to Sonnet 4.6 + Gemini Pro on disagreement) against a versioned taxonomy. Returns the Why Drawer headline, audit trail, and per-model judgments. Pro plan or higher required.. It is categorised as a Execute tool in the Ninar AI MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ninar AI MCP server in PolicyLayer and add a rule for audit_brand_visibility: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Ninar AI. Nothing to install.
audit_brand_visibility is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the audit_brand_visibility rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for audit_brand_visibility. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
audit_brand_visibility is provided by the Ninar AI MCP server (https://ninar.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 Ninar AI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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