Shadow AI Audit Services
Packages & Pricing.

Shadow AI audit to find unapproved AI tools in use

A shadow AI audit finds out which AI tools your employees actually use, including consumer chatbots nobody approved. Omeiro reviews SaaS usage and network logs to find where company data may be leaking, then helps move people to sanctioned tools.

You get a risk list and, on higher tiers, an AI usage policy and a plan for redirecting traffic.

Shadow AI audit: what the findings usually lead to

Shadow AI is usually well-meant. Staff paste text into chatbots because the approved route is slow or missing, so a shadow AI audit should be read as a map of unmet needs as much as a list of risks. Before ordering, decide which data sources the audit may use, such as proxy logs, SaaS admin consoles and expense records, and tell employees how the information will be handled. Transparency stops the project damaging trust.

The output only helps if it leads to action. A shadow AI audit should rank tools by the sensitivity of the data involved, not just popularity, and pair each finding with an approved alternative. Blocking sites without offering a replacement tends to push people onto personal devices. Plan the policy, the staff briefing and an owner who reviews usage regularly, because new tools appear constantly and a one-time snapshot ages quickly.