Tag: Data leakage

. Apple recently made the headlines due to their internal ban on using ChatGPT-like technology and plans of their own Large Language Model (LLM). LLMs, while increasingly popular, can be unpredictable and lead to user data leakage. Apple has taken precautionary steps to prohibit their employee to use such technology. Reports suggest a potential unveiling of the project at WWDC in June, however caution should be exercised while using any imitation Apps. Apple is taking the right steps towards the responsible use of machine learning technology.

Apple, one of the world's leading tech giants, recently released leaked documents confirming the prohibition of ChatGPT-like technology due to greater risk of data leaks. Apple is reportedly working on its own LLM and advice to employees to be cautious while looking for a way to access the technology. Apple's fear of data leaks from LLMs has sparked the debate of human error being the potential cause and progress towards the AI technology being an unknown to this date.

. ExtraHop Networks Inc. just unveiled Reveal(x), a revolutionary tool to monitor employee’s AI usage. Provides network packet visibility to assess data/IP risk, and help organizations protect confidential data and ensure IP protection. Try it to experience the extra level of security!

OpenAI CEO Sam Altman recently highlighted an issue with the ChatGPT open-source library bug that allowed some users to view titles of others conversations. Although this bug has now been fixed, it has raised concerns around Software Bill of Materials (SBOM) and how organizations should properly monitor their software assets to prevent such data leakage. OpenAI is a forefront organization working in the field of AI research, development and safety. Let's understand the role of SBOM to ensure the security of organizations and its products.

Arthur Shield is the world's first secure and patent-protected firewall for large language models like ChatGPT. With Arthur Shield, businesses are able to reduce the risks of data leakage and malicious user prompts while minimizing operational costs & meeting regulatory needs - all while leveraging their LLM applications. A must for all data driven organizations.