Services

AI Governance & Security

Adopt AI without losing control.

NexAI helps organizations understand where AI is being used, evaluate the risks, establish practical governance, and validate that AI controls continue to operate as intended.

Best for organizations that:

  • Know employees are using AI but lack an enterprise inventory
  • Are deploying Microsoft Copilot or another enterprise AI platform
  • Are evaluating AI vendors or integrating AI into products and workflows
  • Need to protect confidential, client, financial, health, or intellectual-property data
  • Face board, customer, regulatory, or investor questions about responsible AI
  • Have AI policies but cannot demonstrate that the policies are being followed
FAQ

Questions about AI governance

What is AI governance?

AI governance is the set of policies, processes, roles, and controls an organization uses to manage how AI is adopted and used. It covers which tools are approved, what data they can access, who is accountable, and how risks are monitored over time. NexAI helps organizations understand where AI is being used, evaluate the risks, establish practical governance, and validate that AI controls continue to operate as intended.

Why is AI governance important for businesses?

Employees often adopt AI tools faster than policies can keep up, which can put confidential, client, financial, health, or intellectual-property data at risk. Boards, customers, regulators, and investors are also asking how organizations use AI responsibly. Governance gives leadership a clear answer and lets the business adopt AI with confidence.

What is shadow AI?

Shadow AI is the use of AI tools by employees without the knowledge or approval of IT or security teams. It usually starts with good intentions, such as using a chatbot to save time, but it can expose sensitive data and create blind spots for leadership. The first step in addressing it is an inventory of where AI is actually in use across the organization.

What are the security risks of Microsoft Copilot?

Microsoft 365 Copilot can draw on any content a user already has permission to access. If files, sites, or mailboxes are overshared, Copilot can surface sensitive information to people who should not see it. Before and during a rollout, organizations typically review access permissions, how sensitive data is labeled, and usage policies, then monitor how the tool is used.

How do you evaluate the risk of an AI vendor?

Start with the data: what the vendor will receive, where it is stored, whether it is used to train models, and who can access it. Then review the vendor's security controls and contractual protections, the same way you would for any third party handling sensitive information. Reassess when the tool changes or when your use of it expands into new products or workflows.

How do you prove an AI policy is being followed?

A written policy is a starting point, but leadership also needs evidence that it is working. That means knowing which AI tools are in use, monitoring how they are used, and periodically testing that controls operate as intended. NexAI helps organizations validate their AI controls, so AI use is visible, governed, validated, and monitored.

Not sure which one fits?

Let's define the right starting point for your cyber, governance, or AI risk priorities.