Shadow AI Audit.
Find every AI tool your employees use without approval, and the data going into it.
The problem
AI adoption runs ahead of approval across most organizations. Employees deploy tools on their own, without waiting for IT review or a security evaluation. Customer data, proprietary code, and confidential documents flow into unapproved AI systems every day.
Security teams consistently underestimate the scope of Shadow AI. The only way to size the exposure is to go look.
What’s included
What you get
Who this is for
Methodology
Alignment on scope, target environments, and access. Stakeholder roster locked. Communication plan agreed.
Technical detection across browser extensions, SaaS platforms, and API integrations, paired with employee surveys and stakeholder interviews.
Risk classification by tool and use case. Data flow mapping. Policy gap assessment against current controls.
Risk report, acceptable use policy template, executive summary, and a 60-minute debrief.
Where this leads
The Shadow AI Audit is the discovery phase of the AI Security & Hardening engagement. Discovery sizes the exposure. Hardening closes it, by deploying enforced policy across the AI traffic that carries real risk. Many organizations start here and continue into the full engagement.
Book a 30-minute call to discuss your organization’s Shadow AI exposure.