The Australian financial services regulator, the Australian Prudential Regulation Authority (APRA), has provided its most substantial guidance on generative AI to date in Member Therese McCarthy Hockey’s remarks to the AFIA Risk Summit 2024. The guidance gives a green light for banks, insurance companies, and superannuation funds to …

Around the world, organizations are evaluating and embracing artificial intelligence (AI) and machine learning (ML) to drive innovation and efficiency. From accelerating research and enhancing customer experiences to optimizing business processes, improving patient outcomes, and enriching public services, the transformative potential of AI is being realized across sectors. Although …

Retrieval-Augmented Generative (RAG) applications enhance the responses retrieved from large language models (LLMs) by integrating external data such as downloaded files, web scrapings, and user-contributed data pools. This integration improves the models’ performance by adding relevant context to the prompt. While RAG applications are a powerful way to dynamically …

As generative AI models become increasingly integrated into business applications, it’s crucial to evaluate the potential security risks they introduce. At AWS re:Invent 2023, we presented on this topic, helping hundreds of customers maintain high-velocity decision-making for adopting new technologies securely. Customers who attended this session were …

Data security and data authorization, as distinct from user authorization, is a critical component of business workload architectures. Its importance has grown with the evolution of artificial intelligence (AI) technology, with generative AI introducing new opportunities to use internal data sources with large language models (LLMs) and multimodal foundation …

Customers are finding several advantages to using generative AI within their applications. However, using generative AI adds new considerations when reviewing the threat model of an application, whether you’re using it to improve the customer experience for operational efficiency, to generate more tailored or specific results, or for …

The AWS Customer Incident Response Team (CIRT) has developed a methodology that you can use to investigate security incidents involving generative AI-based applications. To respond to security events related to a generative AI workload, you should still follow the guidance and principles outlined in the AWS Security Incident Response …

Generative AI–based applications have grown in popularity in the last couple of years. Applications built with large language models (LLMs) have the potential to increase the value companies bring to their customers. In this blog post, we dive deep into network perimeter protection for generative AI applications. We …

Generative artificial intelligence (AI) has captured the imagination of organizations and individuals around the world, and many have already adopted it to help improve workforce productivity, transform customer experiences, and more. When you use a generative AI-based service, you should understand how the information that you enter into the …

This is part 3 of a series of posts on securing generative AI. We recommend starting with the overview post Securing generative AI: An introduction to the Generative AI Security Scoping Matrix, which introduces the scoping matrix detailed in this post. This post discusses the considerations when implementing security …

In part 1, we discussed how to use Amazon SageMaker Studio to analyze time-series data in Amazon Security Lake to identify critical areas and prioritize efforts to help increase your security posture. Security Lake provides additional visibility into your environment by consolidating and normalizing security data from both AWS …

Generative artificial intelligence (generative AI) has captured the imagination of organizations and is transforming the customer experience in industries of every size across the globe. This leap in AI capability, fueled by multi-billion-parameter large language models (LLMs) and transformer neural networks, has opened the door to new productivity improvements …