What Does 'Secure AI' Mean?

When AI services are becoming an increasingly important part of business operations, it's important to prioritize security. Everyone wants to be able to trust that their data is handled responsibly when using an AI service, without risk of unauthorized access. But secure AI systems have unique requirements beyond the basic requirements that apply to all IT systems. In this article, we go through some of the most important aspects to consider when choosing an AI provider for your business.

Ensure the service doesn't train on your data

For AI companies, access to high-quality training data is crucial for building competitive models. Unfortunately, this means that customer data can be used for training, which can lead to unintentional leakage of sensitive information. A concrete risk scenario arises when you share business-critical data with an AI service that then uses this data to train its models. In such a situation, there is a risk that when another customer asks a question to the service, the answer may contain parts of your sensitive information. To protect your company's sensitive data and customers' personal information, it is therefore crucial to choose an AI provider that guarantees that no user data is used for training their models.

Prioritize hosting within the EU

The choice of cloud provider can have major consequences for data security, especially when it comes to AI services. Although many large players like AWS and Azure have servers in Europe, their American parent companies may be subject to laws that give authorities the right to request data. For companies with high security requirements, it is therefore important to choose a fully European provider that is bound by GDPR and other strict data protection regulations. By keeping your data within the EU's borders, you minimize the risk of unwanted access from foreign authorities.

Avoid third-party AI model providers

Many AI companies rely on models from third-party providers like OpenAI for the AI parts of their services, which can pose risks for you as an end customer. When you share data with an AI service that does this, you have limited insight into how the information is handled and protected. Instead, choose a provider that develops and operates its own models internally, so you can be sure that your data never leaves their cluster.

How Klang.ai works to deliver secure AI

At Klang.ai, security has the highest priority in everything we do. Our platform is built on proprietary AI models that are operated entirely in our own data center, which means that customer data is never exposed to third parties. We use the French cloud provider Scaleway for hosting, but also offer single-tenant solutions in Swedish data centers for customers with particularly high security requirements.

One of our most important principles is to never train on user data, regardless of whether it comes from our product or API. Although it requires more work from our side, we believe this is crucial for our customers to be able to trust us. Transparent and responsible data handling is at the core of our business.

Want to know more about security and AI? Get in touch with us and we'll be happy to tell you more!