Data security with Generative AI (GAI) Large Language Models (LLM)

In this video, we explore data security in the realm of generative AI and large language models (LLMs). Many organizations hesitate to adopt AI services due to data security uncertainties. However, we provide reassurance by highlighting how cloud-based solutions have become the default, safe, and trustworthy way to handle data in the IT landscape.
Addressing concerns head-on, this video delves into two critical aspects: data storage and security flaws. While some AI providers store user data for training new LLMs, we explain that safeguards, such as disabling data retention, exist to protect sensitive information. Additionally, we demystify the notion of AI being the source of security vulnerabilities, clarifying that potential issues lie more in cloud security practices and can be addressed with established measures.
This video provides valuable tips on selecting secure AI providers and building trust through certifications, maturity, and cloud security expertise. This video aims to empower viewers to harness the full potential of generative AI and LLMs while dispelling concerns about data leakage and ensuring a secure AI journey.
Further References:
Security Implications of ChatGPT: cloudsecuritya...
Resources for Artificial Intelligence: cloudsecuritya...
AI Working Group: cloudsecuritya...
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