Discover unauthorized AI tool usage across Okta, Google Workspace, GitHub, Jamf, CrowdStrike, GCP, SentinelOne, Azure, JumpCloud and Entra ID with risk-ranked findings.
Created by Sola Security
Last updated 29 March 2026
Tags OktaGoogle WorkspaceGitHubJamfCrowdStrikeGCPSentinelOneMicrosoft Entra IDShadow AI AI GovernanceAI Security Access Control Risk ManagementSecurity PostureIdentity ManagementCloud Security ComplianceEndpoint SecurityOAuthShadow ITAzureJumpCloud+19X
Discover and assess AI tool risk across your organization. This app surfaces Shadow AI exposure across identity platforms, endpoints, code repositories, and cloud infrastructure, giving security teams a unified view of which AI tools are in use, by whom, and at what risk level.
Who is it for?
CISOs, security operations teams, security engineers, GRC teams, and IT administrators seeking visibility into AI tool usage and managing data exposure risk across the organization.
What problems does it solve?
Employees adopt AI tools faster than security teams can track them. This app identifies Shadow AI (AI tools accessed through SSO, OAuth, code dependencies, installed on endpoints, or embedded in cloud infrastructure) and scores each finding by risk so teams can prioritize what to address first.
Key security question
Which AI tools are in use across the organization without official approval?
Which users, endpoints, and repositories carry the highest AI exposure risk?
Are AI-related credentials or API keys exposed in code repositories or cloud functions?
Are endpoint security platforms detecting AI tool installations or threat activity?
Is AI app access governed by SSO, conditional access policies, and regular access reviews?
