Digitalisation continues to drive innovation and growth. But wherever there is progress, risks are never far away and require constant vigilance. The threat of cyber attacks in particular is forcing companies to scrutinise their security solutions on a regular basis. At the same time, companies that rely on AI-supported threat detection and modern cybersecurity can secure a decisive edge. The new ISO/IEC 42001:2023 standard provides a comprehensive framework for ensuring protections and the ethical use of artificial intelligence. In the second part of our blog series, we’ll show you which technologies you can use to leverage this transformative potential securely and ethically.
We often use AI-as-a-Service (AIaaS) without realising it in many applications. These include:
Later on in this article, we’ll organise them into the various categories – all calling for appropriately different and safety-relevant considerations: Security aspects, data protection, technical and operational challenges as well as ethical and legal issues.
Protecting information is at the centre of all security considerations. If AI is used unknowingly, personal or sensitive data entered into AI services can be intercepted or misused (data leaks). Support your employees with suitable training and guidelines to recognise and appropriately manage the risks. This can counteract the lack of transparency (black box problem) – especially in conjunction with intellectual property, customer data and copyrights.
Protect your company and your employees by raising awareness of confidentiality. This will prevent sensitive information from being entered into AI services and potentially misused. Make sure that your trusted translation and writing service is aware of all uploads and requests from different departments and can interpret them in a broad context.
Another aspect involves the use of personal licences by employees in a corporate context – and the lack of understanding regarding the need to critically question the quality of the results of AI tools. These challenges require measures and best practices to ensure the secure, efficient and responsible use of AIaaS.
The use of embedded and licensable AI-as-a-Service (AIaaS) – such as Microsoft CoPilot – is on the rise.
The main advantage of modern AIaaS lies in its seamless integration and the way it helps create content. For instance, you can easily summarise minutes, make suggestions for high-quality communication, search through collections of information with prompts and much more.
Similar to the use of integrated AIaaS, Microsoft CoPilot is integrated into the service – certain framework conditions and restrictions can be configured and there’s a contractual relationship.
Let’s look at the above risk categories and the applicable solutions in detail:
Safety aspects
Data protection
Technical challenges
Operational challenges
Ethical and legal challenges
Further challenges
An in-depth look at these challenges and the necessary security measures shows that the successful use of AI-as-a-Service requires careful management as well as suitable strategies, guidelines and technical measures.
Let our team of experts show you the gaps and risks in your security system – so you can take that all important step into the AI age with confidence and peace of mind. As a core component of our AI Gap Analysis or as part of our Microsoft 365 Security Assessment, we’ll carry out a Microsoft 365 CoPilot Readiness Assessment for you. This will provide you with valuable information on quick wins and recommended actions for using Microsoft CoPilot functionality safely.
Expand your expertise in the safe and secure use of AI technologies as part of your digital risk management. We’ll accompany you on this journey with our “AI and cybersecurity” blog series.
Caption: AI generated image