Despite the security risk of their private data being stolen into huge language models, all firms are keen to capture the productivity advantages of generative AI, beginning with ChatGPT (LLMs).
Alex Philips, CIO at National Oilwell Varco (NOV), told a news reporter earlier this year that he’s using an education-focused strategy to keep his board of directors up to date on the newest benefits, dangers, and current status of emerging AI technology. According to Alex Philips, having a continuing teaching process helps define expectations about what next-generation AI can and cannot do, as well as assist NOV in putting precautions in place to protect personal data.
Why are companies banning Chat GPT?
Since providers confront significant risks in intellectual property, pricing, and licencing, healthcare CISOs and CIOs are banning ChatGPT access in research, development, pricing, and licencing business units owing to security dangers and competitive disadvantages.
Increasing productivity with low-risk
Nightfall AI, a cloud data loss prevention platform, has released the first data security platform for next-generation AI, encompassing API browser and Software-as-a-Service (SaaS) application protection. The platform attempts to overcome the productivity paradox that CISOs and CIOs confront when using gen AI and ChatGPT across enterprises. The platform spans three major threat vectors, allowing enterprises to reap the benefits of AI while securing sensitive data and lowering risk. Nightfall for GenAI is made up of three products, one of which is Nightfall for ChatGPT, which allows real-time scanning and censorship of sensitive data entered by staff into chatbots before it is exposed.
Nightfall for LLMs is a developer API that recognises and redacts data input by developers to train LLMs in a software development kit (SDK). This API has been implemented into the workflows of several industry giants, allowing companies at scale to benefit from significant AI productivity advantages.
Ensuring the future productivity benefits from generative AI
Genesys, a renowned data analytics company, is using GenAI to boost productivity and data privacy. However, CISOs have expressed concerns about the possibility of sensitive data being included in chatbot prompts, the risk of inadvertently exposing confidential company data via SaaS apps, and the use of confidential data by engineers and data scientists in the development and training of LLMs. The flexibility to modify Nightfall AI’s data rules gives it an advantage over other solutions. The latest issue with ChatGPT is the production of active API keys for Windows, which has increased the company’s concerns.
Since there is no complete DLP solution for GenAI, companies are banning tools or using several security products to ensure its safe deployment. This battle resulted in the creation of Nightfall’s most recent invention, Nightfall for GenAI.
Nightfall’s data security activities are praised by Frederic Kerrest, co-founder and executive vice chairman of Okta, who compares them to the company’s early goal of unified user access and management security for cloud apps. The platform provides customized data rules and remediation insights, allowing users to self-correct and giving CISOs access and control over AI while protecting data security. The release of Nightfall’s next-generation AI-focused platform is a huge step towards achieving AI’s full potential.
