Small and medium enterprises have security vulnerabilities in GenAI applications; companies lack awareness of the risks associated with GenAI applications; ChatGPT drives a surge in GenAI investments; enterprises struggle to keep up with the fast-paced development of GenAI technology; security incidents related to GenAI applications are frequent.

["The Global AI Cybersecurity Protocol was signed at Turing Bletchley Park to manage the cybersecurity risks posed by emerging AI tools.", "28 countries, including the United States, United Kingdom, China, and the European Union, collectively signed the 'Bletchley Declaration' to address the potential risks at the forefront of AI technology.", "The protocol emphasizes cybersecurity and privacy protection issues, providing a solid foundation for responsible AI innovation globally.", "This initiative has been praised by cybersecurity experts, showcasing a collaborative effort towards AI safety and innovation.", "This signing reflects the collective will of global leaders."]

🔍 Model Parasitism Attacks: Researchers reveal that large language models have critical vulnerabilities that could lead to private information leakage and targeted attacks. 🔐 Cybersecurity Risks: Although large language models have tremendous potential, businesses should seriously consider the cybersecurity risks that may arise when adopting and deploying them. 🤖 Potential Threats: The research warns that security vulnerabilities may successfully transfer between closed-source and open-source machine learning models, necessitating caution.

The US Space Force has suspended the use of web-based generative AI tools like ChatGPT for its personnel. This decision is based on concerns over data aggregation risks, and they will wait for formal approval before resuming use. The Space Force has established a working group with other Pentagon departments to consider the responsible use of these technologies. An Air Force spokesperson confirmed that this suspension is a temporary measure for data security. The Space Force plans to release further guidance on the use of generative AI next month.

Microsoft's improper use of Azure's Shared Access Signature (SAS) tokens on a public GitHub repository led to the exposure of 38TB of private data. The misuse of SAS tokens, coupled with a lack of monitoring and management, increased the risk of data breaches and made tracking difficult. The AI model training process, which heavily relies on large-scale data, requires stronger security measures and collaboration to prevent similar incidents in the future. Microsoft's data has been exposed for years, posing a significant threat to data security, including passwords, keys, and internal communications.