As we discuss the potential benefits of AI, is there a potential draw back for those of us working in secure environments like the financial, health, and government sectors? Tools like ChatGPT could be useful in creating scope documents or documents that would usually take up a lot of time, but could we be exposing ourselves to security vulnerabilities either through AI tools remembering confidential information or even a data breach from AI systems?
I would love to hear your opinions on the security of these AI systems and if those of us in secure sectors should do thorough vulnerability testing prior to implementing AI into our daily work. Saving Changes...
Given that AI systems will help support decision making and will automate previously manual work, there is certainly a risk of having confidential information compromised if unauthorized access occurs to those systems.
However, I'd see this as similar to other decision support tools or key systems (e.g. ERP, financial) where it will be important to use a multi-pronged strategy to prevent unauthorized access.
There is definitely a benefit in conducting some vulnerability testing on these tools or getting some independent validation from the vendor that they have done so and confirmed that there are no innate vulnerabilities.
I would say that AI provides a similar level of risk for data breaches than any other software piece. It strictly depends on the deployment model: whether the data will be transferred outside company premises or not - similarly to, for example - Office365 - which is widely used all around the globe.
The new security risks around AI are connected mainly with how the algorithms are trained and developed during your usage. If the AI model that you are using is not exclusively yours then there might be a danger of different data leaks - as your data might be used for improving the general quality of the responses of the model. One of the biggest challenges for security in the commercialisation of 3rd party general AI models is the protection from such leaks, therefore I doubt that companies will decide to use 3rd party tools in their core activities, but, as a temptation of using the non-secure AI tools will be high, we have to focus on providing very good knowledge about security issues as well as a great and secure AI tool to accomplish their work. Saving Changes...
AI systems pose several security risks. They can be vulnerable to data privacy breaches, as they require large amounts of sensitive information. Hackers can conduct adversarial attacks by feeding AI misleading data, causing incorrect decisions. AI systems can also inherit biases from their training data, leading to unfair outcomes. Additionally, vulnerabilities in AI algorithms can be exploited, and AI can be used by cybercriminals to automate malicious activities. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
AI is a boarder term. We are using AI from more than 40 years ago. For example, AI is inside refrigerators or air conditioners. Related to security, you have to take into account the same things than other artifact you will put inside your company with focus on the architecture: business, application, technology, information layers mainly. Saving Changes...
