Blacksite assessments are designed to be remote, structured, and evidence-driven.

Our model combines leadership intake, employee-use patterns, policy review, workflow analysis, vendor documentation, technical visibility indicators, and control evidence to produce an executive-ready risk view.

We do not rely on surveys alone. Surveys are one input. Blacksite assessments correlate multiple evidence layers to identify where AI risk is known, likely, technically observable, or currently invisible.

We define the business context, risk priorities, systems in scope, stakeholders, and intended assessment outcome.

We request relevant policies, AI tool inventories, vendor records, workflow documentation, survey inputs, telemetry exports where available, and governance artifacts.

We classify AI use cases, data types, vendors, outputs, and workflows based on likelihood, impact, exposure, control maturity, and business consequence.

We evaluate whether existing policies, technical safeguards, vendor controls, legal terms, training, logging, and review processes are sufficient for the organization’s AI risk profile.

We translate findings into practical leadership language: what is exposed, why it matters, what needs to change, and what should be prioritized first.

We provide a 30/60/90-day roadmap designed to help organizations move from uncontrolled AI adoption toward governed, defensible use.