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Generative AI (GenAI) has emerged as a transformative technology for businesses, streamlining operations, enhancing customer engagements, and building competitive advantages and innovations. In the world of IT, it is crucial to strengthen security by enhancing threat detection, access management, adversarial defense, and network security measures.

To achieve its many benefits, securing the data and environments that GenAI solutions are built on is critical. Every GenAI solution created by an organization relies on storage and compute infrastructure, has a data foundation comprising specific internal data, and uses embeddings from a large language model (LLM) or foundation model (FM), along with other AI-related tools.

Whether creating customer-facing GenAI solutions or using GenAI within your organization, clear security compliance is crucial to ensure that any data shared externally remains protected and private. This reduces the risk of model bias as well as the risk of model poisoning through malicious inputs. A combination of solutions from AWS Partners and tools from AWS—such as AWS Nitro, AWS Key Management Service, logging behavior, AWS PrivateLink, tenancy models, and more—can help solve these security challenges.

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