Top Privacy And Compliance Risks Every Organization Should Consider When Using Public ChatGPT

Top Privacy And Compliance Risks Every Organization Should Consider When Using Public ChatGPT

ChatGPT is a versatile tool with multiple applications, including text generation, language translation, and creative content writing. However, it is essential to acknowledge that ChatGPT also possesses the potential for misuse, such as the unauthorized disclosure of sensitive information or the creation of fabricated news.

Consequently, many companies have decided to prohibit the internal use of ChatGPT. Prominent organizations like Apple, Samsung, JPMorgan Chase, and Goldman Sachs have joined this trend. Forbes reported that numerous other establishments, including Bank of America, Deutsche Bank, Citigroup, Amazon, and Wells Fargo, have followed suit. The primary worry is that ChatGPT may inadvertently leak confidential data, such as customer records, proprietary knowledge, or employee correspondence.

Furthermore, cybercriminals have already begun exploiting ChatGPT to develop malicious tools, as revealed by Check Point Research's analysis of underground hacking communities. It is evident that generative AI has the potential to worsen the threat landscape significantly.

Therefore, organizations should thoroughly examine the security risks posed by ChatGPT in the workplace. Understanding these risks is essential for each organization to safeguard sensitive information and maintain a secure environment.

The Main Threats to Privacy

The use of ChatGPT directly within an enterprise environment presents inherent risks containing security vulnerabilities, possible data breaches, compromised confidentiality, liability concerns, intricate intellectual property matters, and uncertain privacy implications. It is advisable to consider GPTGuard as a viable alternative solution to address these risks.

Before exploring alternative solutions, companies must exercise caution and awareness about the potential risks and challenges involved. 

The ever-evolving landscape of new services further emphasizes the significance of data privacy and ownership within the enterprise. Let us consider the factors.

1. Adherence to open-source licenses

When using ChatGPT to generate code, compliance with open-source licenses is crucial when ChatGPT uses open-source libraries and incorporates their code into products. 

Open-source licenses consist of two main licenses: permissive and copyleft. Permissive licenses usually contain fewer restrictions on the licensed code than copyleft licenses. These permissive software licenses include MIT License, Apache License 2.0, and BSD License. The popular copyleft licenses include GPL License and Mozilla Public License 2.0.

Failure to comply with Open-Source Software (OSS) licenses, such as GPL (General Public License), can result in legal complications for the organization.

2. Privacy

It is essential to prioritize confidentiality and privacy to avoid potential violations of contractual agreements, privacy regulations, and legal requirements. Sharing confidential customer or partner information can have severe consequences, including damage to the organization's reputation and exposure to liability if ChatGPT's security is compromised and sensitive content gets leaked.

3. Data leaks

Maintaining security and preventing data leakage is of utmost importance. When sensitive third-party or internal company information is shared via prompts to ChatGPT, it becomes part of the chatbot's data model and may get shared with others who inquire about relevant topics. This threat can lead to data leakage and a breach of an organization's security policies.

4. Intellectual/Creative Copyrights 

The internet uses vast data in ChatGPT's training process that may comprise copyrighted material. This element may pose copyright risks or IP infringement in its outputs. Furthermore, ChatGPT does not provide source references or explanations regarding its output generation. 

As a result, legal and compliance teams must remain vigilant of any modifications to copyright laws that may apply to ChatGPT's output and mandate users to thoroughly examine their generated output to prevent infringement on copyright or IP rights.

Do not ignore intellectual Property concerns. Ownership of the code or text generated by ChatGPT can be intricate. While the terms of service state that the output belongs to the input provider, complications may arise if the output includes legally protected data from other inputs. Additionally, copyright concerns may occur if ChatGPT is used to generate written material based on copyrighted property.

Must Read: PII Compliance Checklist: Safeguard Your PII Data

Source of Data Leak Case Study Scenarios

GPTs, short for Generative Pre-trained Transformer, are built upon a model that lets them acquire information from vast amounts of data. These sophisticated models meticulously examine multiple sources, including documents, books, articles, and websites, empowering them to generate remarkably human-like answers to diverse questions. However, even though they have manifold benefits, there are potential risks associated with data leakage and its exploitation by rival businesses.

Data leakage can manifest in various scenarios within business processes, such as recruitment, sales, customer service, and collaboration with GPT for developers.

Sales Workflow

Most corporate sales professionals use GPT to obtain guidance on pricing strategies, negotiations with clients, or contract intricacies. Nevertheless, when these confidential details get unwittingly shared within a chat room, it can lead to data leakage. Similar to the recruitment process, if such sensitive information becomes part of the training dataset, the GPT model can incorporate and subsequently use these particulars in its responses to other users. 

Hence, an employee from a rival company may seek insights into pricing strategies or negotiation tactics and receive a response from the GPT model based on the leaked data. This leaked data could potentially grant them an advantageous position in the market by providing access to the company's information through AI-augmented data.

Programmers Using ChatGPT  

When utilizing chat GPT for programming assistance, programmers unknowingly expose sensitive information by pasting the entire source code. This factor can result in data leakage as the GPT model analyzes and learns from the entered information, including the code's structure, algorithms, and other confidential details.

If this information becomes part of the training dataset, the model may incorporate it into responses for other users. Consequently, when a developer from a competing company seeks coding guidance through ChatGPT, the model might propose a solution based on the leaked code, granting a rival company access to advanced technologies or algorithms.

Customer Support

In the context of customer support, ChatGPT employed for this purpose may encounter customers' personal information, such as email addresses, phone numbers, or financial details. A leak can transpire when an employee inputs this data into a chat room for support. If the leaked personal data becomes part of the training dataset, the GPT model can learn and utilize it in future responses, breaching customer privacy. This factor poses a significant legal challenge and may result in financial penalties.

Recruitment Processes

Since ChatGPT's use enhances the recruitment process, the GPT model may receive sensitive employee data, including salary information and company strategy. Leakage can occur if a recruiter enters this information into the chat seeking advice. The model can learn and potentially disseminate this data and distribute this information to other employees in the future. 

As the GPT model learns from textual data, leaked information in the training dataset can be absorbed, leading to suggestions based on the exposed data when answering questions related to recruiting at a specific company. This threat can unintentionally reveal sensitive aspects of the recruitment process.

Suggested Read: Intelligent Tokenization: Protecto's Technical Edge in Data Privacy for AI

The Bottom Line: Responsible Use of Public ChatGPT at the Workplace

While ChatGPT is a powerful and adaptable tool with numerous practical applications, we are still navigating uncharted territory. The future of AI and its impact on society remains uncertain. Until we gain a complete understanding of this technology, it is crucial to take steps to protect and maintain privacy.

Fortunately, with Protecto's unmatched technology, businesses and institutions worldwide can confidently embrace an AI-rich future, knowing that data privacy is safe.

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Rahul Sharma

Content Writer

Rahul Sharma graduated from Delhi University with a bachelor’s degree in computer science and is a highly experienced & professional technical writer who has been a part of the technology industry, specifically creating content for tech companies for the last 12 years.

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