How ISO/IEC 27001 Ensures Data Security Working With AI

Whether for better or worse, artificial intelligence is here to stay. Its fast technological advancement and accompanying introduction to the mainstream through mediums like ChatGPT and Snapchat AI have been equally as polarising. In its infancy, the lack of widespread understanding of the topic has begged many questions – how should this powerful technology be regulated? To what extent should we limit it? And is artificial intelligence our friend, or is it a threat?

ISO/IEC 27001 is becoming increasingly relevant to all types of artificial intelligence, particularly in data management, privacy, access control, and general ethical usage. Its relevance ultimately varies with how businesses employ AI services. Regardless, security and usage concerns will remain at the forefront of discussion. This blog will explore how ISO/IEC 27001 certification makes the implementation process more straightforward, safer, and secure.

Types of AI: What You Need to Know

The world of AI is vast and expansive, more so than many people realise. It works at the forefront of business operations, primarily in chatbot and visual generation formats, while automating vital processes behind the scenes. Over the last year, language processing machines like ChatGPT have taken the world by storm due to their ease of use for casual and business settings.

ISO/IEC 27001 would bring several aspects of its use into question:

• What is the possibility of an OpenAI data breach? What measures do OpenAI take to protect my data?
• How safe is it to give these programs personal and/or compromising information?
• Are these programs biased, and do they generate answers with the best intent?

These would have to be uniquely evaluated based on your industry, your company’s individual needs, and the processes you decide to automate. While these services are largely safe, with offenders being few and far between, this does not entirely rule out the possibility of information mismanagement from third-party data holder like OpenAI.

Internal and External Use

AI comes in many forms and is widely applicable to various tasks and contexts. It’s used to interact directly with a customer base through mediums like customer services and Q&As, speeding up queries, complaints, and questions. It’s also used for fraud prevention and other important tasks where accuracy and precision are essential. To be used to represent a company or perform a task that a human would otherwise perform, companies must regulate it properly.

Ethical Implementation and Management

Many artificial intelligences, especially those with produce text and code snippets, will refuse to perform tasks they see as unethical or dangerous. Chatbots, in particular, are built with pre-existing biases and measures to stop them from performing specific tasks. However, with the right know-how, hackers and other malicious entities can pick these measures apart, allowing them to use these powerful, publicly accessible technologies for the wrong reasons.

Take ChatGPT, for example. Ask it on a webpage to generate something that might even insinuate something negative. In most cases, it will politely decline the request. Suppose you extract the GPT technology (OpenAI API), use it outside the OpenAI website, and prompt it to perform any task; it will most likely perform that task regardless of the outcome’s morality. While professionals often use this technology to give more tailored answers on specific topics, hackers can also use it for the wrong reasons.

ISO/IEC 27001 in Regulating and Protecting from AI

Regarding data security and privacy, ISO/IEC 27001 is the internationally recognised standard. It encompasses safety, transparency, and proper management to establish a safe and secure foundation for sensitive information handling. With the artificial intelligence industry ever evolving, it’s now more important than ever for organisations to protect their data and use this technology wisely. ISO/IEC 27001 does the following:

• Helps regulate the data handling process, both generally and within the context of artificial intelligence.
• Identifying and addressing security risks relating to AI and other areas of concern.
• Transparency and accountability regulations will require data and information to be checked and identified before it is used.

If you’re interested in implementing ISO/IEC 27001, contact us – we’ll handle it from here.

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