We assess a deployed AI workflow end to end against a structured baseline of configuration and control checks, from the data it can read to the actions it can take. Every finding carries a severity and a fix, so you get a prioritized path, not a list of theory.
Data and inputs
What the workflow is allowed to read, retrieval and data controls, and the prompt injection paths that arrive with untrusted content.
Model and serving
The serving stack, model artifacts, network exposure, secrets, and logging that sit under the model.
Tools and actions
Agent credentials and permissions scoped to the task, approval gates for consequential actions, rate and cost controls, output handling, and guardrails.
Governance
Inventory, change control, and a tested ability to contain or stop a misbehaving workflow.