Discover, govern, and protect unsanctioned AI use across your enterprise.
Employees don't wait for enterprise rollouts when they need to solve problems.
AI adoption is already happening across your organization, with or without official approval.
New AI applications are being adopted faster than organizations can evaluate and approve them.
Sensitive data can be shared with AI tools before security teams know the interaction occurred.
Blocking a handful of AI websites won’t reveal the full scope of use.
You need visibility into AI usage before you can make informed governance decisions.
Understand AI usage and the data involved, so you know where to prioritize governance.
Automatically identify unsanctioned AI usage across your organization.
See when sensitive or business-critical information is shared with AI applications.
Focus on AI use involving sensitive data instead of treating every AI interaction equally.
Make informed decisions about AI usage based on data context, business value, and organizational policy.
Enable safe AI adoption with the visibility and context needed to make smarter decisions.
Get a clear picture of AI usage across your organization instead of relying on assumptions.
Identify instances of business-critical data being shared with unsanctioned AI tools.
Develop policies based on real-world AI usage instead of guesswork.
Enable employees to enjoy the benefits of AI while reducing unnecessary risk.
Gain the visibility needed to confidently scale AI initiatives.
Shadow AI refers to the use of AI tools and applications that have not been reviewed, approved, or governed by an organization's IT or security teams. Employees often adopt these tools to improve productivity, which creates new challenges around visibility, governance, and data protection.
The challenge isn't that employees are using AI. It's that organizations often don't know which tools are being used or what data is being shared with them. Without visibility, it's difficult to make informed decisions about governance, security, and acceptable use.
Not entirely. New AI applications emerge constantly, and employees may access them through personal devices, browser extensions, embedded AI features, or other approved business applications. Effective governance starts with understanding how AI is truly being used across the organization.
For most organizations, that's neither practical nor desirable. AI has become an important productivity tool across many business functions. The better approach is to understand how AI is being used, identify where sensitive data is involved, and apply governance based on real-world risk.
Not every AI interaction carries the same level of risk. Concentric AI evaluates AI usage within the context of the data involved, helping organizations prioritize activities involving sensitive, regulated, or business-critical information instead of generating unnecessary alerts.
Shadow AI security helps organizations discover and govern AI tools that employees adopt outside formal IT processes. Enterprise AI security focuses on protecting approved AI platforms by providing ongoing visibility, governance, and context-aware controls as AI becomes part of day-to-day operations.