AI agents invoke cortex_run_analyzer to trigger actions in Cortex. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes an external analyzer on user-supplied data. An AI agent could misuse it by analyzing untrusted observables or triggering expensive/noisy analyses repeatedly. The blast radius includes resource consumption, potential exposure of analysis results, and triggering cascading security events.
From the tool's definition The tool submits an observable to a specific analyzer for analysis. 'Submit' and 'analyzer' indicate execution of external analytical operations whose outcomes depend on the observable type and analyzer parameters.
Attacks that exploit this kind of access
Submit an observable to a specific analyzer for analysis. It is categorised as a Execute tool in the Cortex MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cortex MCP server in PolicyLayer and add a rule for cortex_run_analyzer: 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 Cortex. Nothing to install.
cortex_run_analyzer 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 cortex_run_analyzer 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 cortex_run_analyzer. 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.
cortex_run_analyzer is provided by the Cortex MCP server (solomonneas/cortex-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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