GenAI Shadow IT Audit.

Find out what AI tools your employees are actually using — and what data is exposed.

The problem

Organizations face uncontrolled AI adoption across departments. Employees have deployed tools independently, without waiting for IT approval or security evaluation. Sensitive customer data, proprietary code, and confidential information flow into unapproved AI systems daily.

Security teams significantly underestimate the scope of shadow AI adoption. The only way to size the exposure is to go look.

What’s included

—Discovery of AI tools across browser extensions, SaaS platforms, and API integrations

—Employee surveys and technical detection methodologies

—Data flow mapping documentation

—Risk classification by tool and use case

—Department stakeholder interviews

—Policy gap assessment against current controls

What you get

—Complete organizational AI tool inventory

—Data exposure risk report with severity ratings

—Customized acceptable use policy template

—Executive summary for leadership and the board

—60-minute debrief call reviewing findings

Who this is for

—Organizations with 200+ employees where adoption outpaced policy

—Security teams requiring visibility into unsanctioned usage

—Companies preparing for SOC 2, ISO 27001, or regulatory compliance

—Leadership needing answers about AI risk exposure

Timeline

1–2 weeks

Structure

Fixed fee

Methodology

1. Kickoff

Alignment on scope, target environments, and access. Stakeholder roster locked. Communication plan agreed.

2. Discovery

Technical detection across browser extensions, SaaS platforms, and API integrations, paired with employee surveys and stakeholder interviews.

3. Analysis

Risk classification by tool and use case. Data flow mapping. Policy gap assessment against current controls.

4. Delivery

Risk report, acceptable use policy template, executive summary, and a 60-minute debrief.

Book a 30-minute call to discuss your organization’s AI risk posture.