Why is security important for generative AI?
Local LLMs can be optimized according to industry and business needs with flexible customization!
I would like to introduce the reasons why security is important for generative AI. Due to the increased risk of data leaks that can lead to loss of customer trust and legal liability, as well as the rise in cyberattacks such as hacking and ransomware targeting AI systems, it is crucial to operate generative AI in a highly secure environment. Local LLMs minimize the risk of leaks by not requiring external transmission and offer benefits such as reducing the burden of document creation and automating data analysis. [Conditions for a Highly Secure Environment] ■ Data Sovereignty: Data storage and processing are completed within the company's environment. ■ Access Control: Thorough authentication processes and authority management. ■ Encryption: End-to-end encryption of communication and stored data. ■ Monitoring and Auditing: Log management and early detection of unauthorized access. *For more details, please download the PDF or feel free to contact us.
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Types of High-Security Environments ■ On-Premises: Fully managed with high physical security ■ Private Cloud: A solution that combines flexibility and cost efficiency ■ Hybrid Environment: A model that leverages the advantages of multiple environments *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
