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Generative AI: Eight fundamental security risks and considerations

CIO

This is particularly true for Generative AI, which presents several inherent security challenges. Here are some of the key risks related to AI that organizations need to bear in mind. No Delete Button The absence of a delete button in Generative AI technologies poses a serious security threat.

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9 IT resolutions for 2025

CIO

Double down on harnessing the power of AI Not surprisingly, getting more out of AI is top of mind for many CIOs. I am excited about the potential of generative AI, particularly in the security space, she says. One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. The Basic tier would use a smaller, more lightweight LLM well-suited for straightforward tasks, such as performing simple document searches or generating summaries of uncomplicated legal documents.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Generative AI models (for example, Amazon Titan) hosted on Amazon Bedrock were used for query disambiguation and semantic matching for answer lookups and responses.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower CTO

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. This presents businesses with an opportunity to enhance their search functionalities for both internal and external users.