Security concerns in regard to adopting AI have resulted in several tech giants restricting the usage of ChatGPT. One of the security concerns is the fear that their users’ information will be used by AI to enhance their model, which seems quite possible.
Further concerns include trustworthiness, training data up to 2021, limited customization, and occasionally inaccurate responses.
In order to allay these concerns, OpenAI has introduced ChatGPT Enterprise, designed specifically for enterprises. In addition to advanced features like customization options, this edition promises improved security and quicker replies.
According to Rowan Curran, a senior analyst for Forrester, these security updates and plugins will eventually motivate enterprises to adopt AI technology. Early adopters of ChatGPT Enterprise include Canva and PwC. Danny Wu, the head of AI products at Canva, emphasizes the advantages of productivity. Users will be able to train the AI using their own data thanks to OpenAI, which will increase its utility.
However, it seems like ChatGPT Enterprise should also not be trusted. According to legal consultant Emma Haywood, ChatGPT Enterprise could still possess risks when generating content. Compliance with SOC 2 and OpenAI’s data usage promise enhances its status, but GDPR and contractual duties still apply.
It must also be noted that ChatGPT Enterprise is not one of its kind, since it now has several competitors from other AI platforms such as Microsoft’s Azure AI and Bard, Google’s generative AI. In order to find the most suitable AI platform, businesses look into several attributes like cost, performance, and security.
Regulatory concerns have also been raised with the developments in AI regulations made in the EU, the US and the UK. Customization could make the distinction between user and provider more hazy and complicate regulatory issues.
ChatGPT Enterprise attempts to address security and usability issues for enterprises, yet obstacles still exist, highlighting the changing face of AI in the corporate world.
Several other reasons indicate why ChatGPT might not be ready for enterprises, such as:
- Developing malware: Malware can be created by the same generative AI that creates ethical code. Additionally, users have discovered that they can easily get around ChatGPT's restrictions, despite the fact that it rejects requests that are overtly illegal or sinister.
- Phishing scams: Cybercriminals may quickly create highly convincing content using generative AI, personalize it to target particular victims (spear phishing), and adapt it to match a variety of mediums, including email, direct messaging, phone calls, chatbots, social media commentary, and phony websites.
- API attacks: It is being speculated that cybercriminals might utilize generative AI to discover the specific vulnerabilities in APIs. Theoretically, attackers may be able to direct ChatGPT to examine API documentation, compile data, and create API queries in order to find and exploit vulnerabilities more quickly and proficiently.