control-map

Audit an agent workflow for safety gaps by applying a 7-row control map that evaluates Runtime, Governed Data, Identity, Action Authorization, Payment Authority, Observability, and Kill Switch. This identifies the first failing row and generates concrete remediation steps before shipping.

A control map for agent safety is a structured 7-row framework evaluating Runtime, Governed Data, Identity, Action Authorization, Payment Authority, Observability, and Kill Switch. It pinpoints the primary risk by identifying the first row that fails evidence requirements, guiding hardening efforts before production deployment.

Check what controls an autonomous agent has by running a 7-row control map analysis across runtime, governed data, identity, action authorization, payment authority, observability, and kill switch layers. This requires a detailed workflow description and produces per-row statuses with documented remediation guidance.

Yes, control map analysis applies to both designing new agent workflows and auditing current deployments. The 7-row evaluation framework assesses safety gaps across runtime, data governance, identity, authorization, payment, observability, and kill switch controls regardless of deployment stage.

To run a 7-row safety evaluation, provide a detailed workflow description, evidence per row, and documented remediation guidance. The analysis outputs per-row statuses across all seven control layers and a first-failure report identifying the primary risk to address.

Avoid relying solely on a control map when you lack a detailed workflow description or evidence per row. The framework requires documented inputs to produce accurate per-row statuses and remediation guidance; insufficient workflow detail yields incomplete safety gap identification and unreliable first-failure reporting.