These days, ChatGPT has become quite well-known and can reportedly be found in virtually every online community. Both Google and Microsoft have developed their own versions of large language models (LLMs), and a wide variety of additional chatbots and supporting technology are currently undergoing active development.
It is not surprising that businesses that focus on information technology security would prefer to reap the benefits of generative artificial intelligence (AI) technologies given the amount of attention that it has received from the media, as well as organizations and individuals in general.
And despite the fact that this growing technology has the capacity to make the process of software development more convenient, there is a high probability that it will also become a possible source of dangers and hassles for businesses that place a premium on data security.
Confidential Message Protocol (ChatGPT) Does Not Substitute Security Professionals
This software analyzes the vast amounts of text and other material that it discovers on the internet by applying a variety of mathematical models to the data before producing its results.
Although it is not a security expert, it is quite good at finding what other people who are security experts have posted. ChatGPT, on the other hand, does not have the ability to think for itself, and it is frequently influenced by user decisions, which can change everything linked to remediation in security.
This is a significant limitation of the software. And despite the allure of its code creation features, ChatGPT does not produce code with the same degree of intricacy as that produced by an experienced security professional.
ChatGPT May Add Extra Labor for Software Developers
It is not possible for it to function as a no-code solution or bridge the talent gap since non-experts who are put in control of the technology are unable to validate the generated recommendations to ensure that they are logical.
In the end, ChatGPT will result in a greater amount of technical debt since security professionals will be required to review any code produced by AI in order to validate it and verify that it satisfies all the necessary security requirements.
Unfortunately, ChatGPT Isn’t Very Reliable
ChatGPT isn’t all that bright, despite the fact that it has a passing score on the bar exam for law schools as well as other collegiate assessments. Its database only goes as far back as the year 2021, despite the fact that new data is continually being added to it.
This is a significant challenge, for instance when it comes to supplying up-to-the-minute vulnerability information. However, the answers that it provides are not always accurate because they are dependent on the manner in which users phrase their inquiries and characterize the context of their inquiries.
Users are required to spend time refining their questions and experimenting with the chatbots. This will necessitate the development of new abilities in the manner in which we frame our inquiries and grow our own knowledge.
All chatbots’ inputs are constantly utilized to retrain and enhance the models themselves; this is inherent to the technology.
Hackers may use ChatGPT to gain centralized access to the information collected by a chatbot, taking advantage of the organization’s weaknesses in the process. There has already been a breach where users’ chat records were made public.
How can IT risk managers best safeguard their companies in light of these concerns? For those interested in learning more about chatbots, Gartner has provided a few suggestions, including trying out the Azure version since it does not collect personal data.
They also suggest enforcing proper standards, like those implemented by Walmart earlier this year, to stop people from uploading sensitive information to the bots.
Managers in the IT industry should also try to improve their awareness and training initiatives. One consultant recommends having the chatbots produce their own training examples.
Another method is to have reports and analyses of cybersecurity dangers generated so that security experts can rephrase them for the layperson.
We need to be selective about the technologies we adopt as ChatGPT remains in the news. Privacy and compliance teams will rely more heavily on security teams in the future years to guarantee their privacy measures are in line with new requirements as a result of shifting investment priorities.
It’s unclear how ChatGPT figures into these schemes. Whatever the case may be, security analysts must consider the benefits and drawbacks of the AI interface before deciding whether or not to take the plunge and implement it.