As a security leader, you know that AI is risky. The challenge isn’t just how fast AI adoption is happening, but that so much of it is happening without any visibility. That’s why AI governance is essential. Organizations need a way to see where AI is being used, understand the risks, enforce guardrails, and respond to threats in real time. So what are the pillars of AI governance and how does Wing Security answer the call?
AI Discovery
AI adoption doesn’t follow the traditional software approval process. Apps are easy to install in just a few clicks now. And many apps have embedded AI. Wing solves this by continuously scanning your environment to uncover every application in use, including third-party apps and those with embedded or generative AI.
Contextual risk assessment
Discovery is step one. Step two is understanding the risk behind what you’ve found.
Not all AI use is created equal. An AI grammar checker used inside a text editor doesn’t carry the same risk as an AI tool that connects directly to your CRM. Wing enriches each discovery with meaningful context, including:
- Who the vendor is and their reputation in the market
- Whether the app or vendor has a history of breaches or security issues
- The app’s compliance adherence (SOC 2, GDPR, ISO, etc.)
- If the app connects to any other systems in your environment
By focusing on context, Wing helps you make smarter, faster decisions about what to allow, restrict, or block.
Data protection
The data that you feed your AI can turn up later in the case of a breach. It can also cause a breach…
Put boundaries around what data can be shared with AI tools and how it is handled, both in policy and by utilizing your security technology to give you full visibility. Data protection is the backbone of safe AI adoption. Enabling clear boundaries now will prevent potential loss later.
Policy enforcement and guardrails
AI governance isn’t just monitoring, it also includes putting rules in place and making sure they’re followed consistently.
Wing enables organizations to define clear, customizable policies for AI use, like:
- Blocking AI vendors that don’t meet your security standards
- Preventing sensitive data from being shared with generative AI tools
- Restricting connecting to certain types of AI apps
- Requiring employees to justify adding a new tool with AI
Wing’s automation workflows apply guardrails in real time, across departments and user roles, without creating bottlenecks. Security teams stay in control, while employees can still move quickly with approved tools.
Continuous oversight
AI apps and agents don’t always behave predictably. A tool that was safe yesterday can become risky tomorrow if it requests new permissions, changes its behavior, or is compromised.
That’s why ongoing real-time monitoring is critical.
Wing continuously watches for anomalies, such as:
- An AI tool requesting broader access scopes than before
- A user suddenly pushing sensitive files into a generative AI chat
- An AI agent interacting with business systems in unexpected ways
Every alert is enriched with identity-centric context, so you know exactly what’s happening: which user, service account, or AI agent is involved, what data is at stake, and how the activity differs from normal patterns.
With that clarity, security teams can respond immediately – blocking the AI tool, revoking tokens, requiring re-authentication, or triggering a policy review. Instead of chasing shadows, you have the full picture and ability to act fast.
Secure AI adoption without the slowdown
AI isn’t going away. In fact, it’s getting more deeply embedded into the tools we use every day. The real question is whether your organization is ready to manage that adoption securely.
With Wing, you don’t have to choose between innovation and security. You get both. Employees can embrace AI to boost productivity, while security teams stay in control and ensure sensitive data stays protected.
AI adoption is accelerating, and with Wing, you can keep pace safely.