The AI landscape is evolving rapidly, and the increasing use of Generative Pre-trained Transformers (GPT) such as ChatGPT and Google's Gemini is nothing short of a revolution. These powerful tools have the potential to streamline workflows, boost creativity, and offer unprecedented efficiency in problem-solving and content creation. However, integrating these public AI tools into daily workflows comes with significant hurdles: concerns regarding security, compliance, and data protection. The question therefore arises: How can I use AI safely?
A dilemma for data protection and compliance
A fundamental concern when using ChatGPT and similar AI services is the risk that sensitive internal company data is uploaded to public servers operated by OpenAI, Google, and others. And it is not unfounded.
In the pursuit of convenience and efficiency, we may inadvertently expose ourselves and our company to vulnerabilities. Once the data leaves the secure area of our internal systems, its path is no longer in our hands.
This uncertainty leads to the questions:
What exactly happens to our data when it leaves the company boundaries and is processed by external services? Can I use these AI tools safely and in compliance?
When company data is processed by external services, security and compliance concerns must be considered. External services should implement robust security measures, such as encryption and access controls, to protect data. In addition, they must comply with applicable data protection laws and industry-specific compliance requirements. Before using external AI services, it is important to ensure that they meet the required security and compliance standards to process data securely and in accordance with the law.
Implementing these requirements alone ties up valuable resources and poses a significant obstacle to progress, meaning that while many companies would like to use AI tools such as OpenAI, they cannot.
The disappointment is palpable: A revolutionary tool is within reach, but it cannot be used safely and in compliance.
However, even if data protection and security concerns are initially considered "not important", there are further challenges for companies.
Further challenges in the use of AI tools (e.g. OpenAI)
- Data model incongruence: Models do not optimally fit the company data, which can lead to inconsistencies.
- Non-trainable model: Lack of adaptability of the models to the specific requirements of the company. How can I tailor and train my own AI to my use case?
- Limited future of the model: Lack of a clear roadmap for the development of new models, which makes long-term planning difficult.
- Slow OpenAI access: Slow access to OpenAI services; it often takes weeks for the service to be deployed in the company.
- Access barriers: Access barriers for employees. It is often unclear how to get started. How do I get access?
- Chat-only interface: Restriction to an exclusively chat-based interface, even though companies may require programmatic access.
The search for a secure and efficient solution for using AI
The dilemma is whether we should use GPTs or AI to improve our workflows, given the risks regarding data protection and security breaches, as well as other challenges.
The fears and uncertainties associated with GPTs and AI technologies significantly hinder their further development and use.
So how can we navigate this uncertain landscape? Is there a way we can use GPTs and AI securely without compromising their reliability?
OpenAI & Azure: The solution for secure and efficient AI use in the enterprise
There is a solution to this dilemma. The key lies in using your own cloud infrastructure (such as AWS, GoogleCloud or Azure) to create a tailored AI solution.
This approach directly addresses the main issues by ensuring that your data remains within the secure boundaries of the enterprise (or the cloud infrastructure), thereby mitigating the risks associated with external data processing.
This solution not only alleviates concerns regarding security, compliance and data protection, but also offers the flexibility to tailor the AI to the individual requirements of different teams, as well as a simple way to monitor the usage and costs of individual accounts.
By pre-providing relevant data about their use case, teams can fine-tune their GPT or AI to obtain tailored solutions for their use case, while working with a familiar user interface (e.g. Microsoft Co-Pilot).
But that is not all.
With Azure and OpenAI, it has never been so easy to configure your own AI. And to integrate it into your applications, websites or consumer products.
This means that the innovation bottleneck caused by security concerns can be resolved. And it enables your company to use AI securely, efficiently and creatively.
However, setting up an AI, an OpenAI GPT on Microsoft Azure is not exactly simple. And then there is also the setup of Azure.
Setting up OpenAI on Azure: The usual procedure would look as follows:
- Create an Azure account: Start by creating an Azure account if you do not already have one.
- Log in to the Azure Portal: Log in with your credentials at https://portal.azure.com.
- Subscription selection: Select the Azure subscription under which the resource should run.
- Resource group configuration: Create a new or select an existing resource group to organise your resources.
- Naming the OpenAI service instance: Provide a unique name for your OpenAI resource.
- Select region: Choose the geographic region that best suits your requirements to minimise latency and ensure compliance.
- Review and confirm: Review all inputs and confirm the creation of the OpenAI resource.
Sounds complicated at first. But it can also be done more simply.
Setting up AI (OpenAI) with a self-service and Microsoft Azure
Setting up OpenAI on Azure is as easy as ever thanks to Container8 Self-Service.
In principle, you can set up your own OpenAI AI on Azure with just a few clicks and details in a few minutes. We show you how quickly the setup can be done in our live webinar.
Set up OpenAI on Azure quickly and easily with Container8?
Creating OpenAI in Azure with just one click enables quick access and rapid deployment. You can start using OpenAI immediately and tailor it to your needs. No need to wait for lengthy approval and deployment times.
Webinar: Using AI securely with Container8
The potential of AI to revolutionise the way we work is immense. And yet, it should be ensured that this technology is used securely and in compliance with regulations.
Our webinar shows you how to use a self-service to set up AI or custom GPTs on Microsoft Azure in a few minutes and tailor them to your use case.
Using AI securely in the future
If you are interested in using GPT technology, you may be concerned about security, compliance and data protection. The good news is that you can use the Microsoft Azure cloud and OpenAI's GPT models to create a secure and individual AI experience.
Do not let your concerns prevent you from exploring the possibilities of AI. You can confidently navigate the complexity of security, compliance, and data privacy. The future of work is driven by AI, and you can be part of it.
