One Article Review
| Source |  AlienVault Lab Blog |
|---|---|
| Identifiant | 8338360 |
| Date de publication | 2023-05-22 10:00:00 (vue: 2023-05-22 10:06:44) |
| Titre | Partager les données de votre entreprise avec Chatgpt: à quel point est-elle risquée? Sharing your business\\'s data with ChatGPT: How risky is it? |
| Texte | The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. As a natural language processing model, ChatGPT - and other similar machine learning-based language models - is trained on huge amounts of textual data. Processing all this data, ChatGPT can produce written responses that sound like they come from a real human being. ChatGPT learns from the data it ingests. If this information includes your sensitive business data, then sharing it with ChatGPT could potentially be risky and lead to cybersecurity concerns. For example, what if you feed ChatGPT pre-earnings company financial information, company proprietary software codeor materials used for internal presentations without realizing that practically anybody could obtain that sensitive information just by asking ChatGPT about it? If you use your smartphone to engage with ChatGPT, then a smartphone security breach could be all it takes to access your ChatGPT query history. In light of these implications, let\'s discuss if - and how - ChatGPT stores its users\' input data, as well as potential risks you may face when sharing sensitive business data with ChatGPT. Does ChatGPT store users’ input data? The answer is complicated. While ChatGPT does not automatically add data from queries to models specifically to make this data available for others to query, any prompt does become visible to OpenAI, the organization behind the large language model. Although no membership inference attacks have yet been carried out against the large language learning models that drive ChatGPT, databases containing saved prompts as well as embedded learnings could be potentially compromised by a cybersecurity breach. OpenAI, the parent company that developed ChatGPT, is working with other companies to limit the general access that language learning models have to personal data and sensitive information. But the technology is still in its nascent developing stages - ChatGPT was only just released to the public in November of last year. By just two months into its public release, ChatGPT had been accessed by over 100 million users, making it the fastest-growing consumer app ever at record-breaking speeds. With such rapid growth and expansion, regulations have been slow to keep up. The user base is so broad that there are abundant security gaps and vulnerabilities throughout the model. Risks of sharing business data with ChatGPT In June 2021, researchers from Apple, Stanford University, Google, Harvard University, and others published a paper that revealed that GPT-2, a language learning model similar to ChatGPT, could accurately recall sensitive information from training documents. The report found that GPT-2 could call up information with specific personal identifiers, recreate exact sequences of text, and provide other sensitive information when prompted. These “training data extraction attacks” could present a growing threat to the security of researchers working on machine learning models, as hackers may be able to access machine learning researcher data and steal their protected intellectual property. One data security company called Cyberhaven has released reports of ChatGPT cybersecurity vulnerabilities it has recently prevented. According to the reports, Cyberhaven has identified and prevented insecure requ |
| Notes | ★★ |
| Envoyé | Oui |
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| Tags | Tool Threat Medical |
| Stories | ChatGPT ChatGPT |
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