AWS Security Blog
Category: HAQM Bedrock
Securing generative AI: Applying relevant security controls
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 controls to protect a generative AI […]
Generate AI powered insights for HAQM Security Lake using HAQM SageMaker Studio and HAQM Bedrock
In part 1, we discussed how to use HAQM SageMaker Studio to analyze time-series data in HAQM 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 and non-AWS sources. Security teams can […]
Securing generative AI: An introduction to the Generative AI Security Scoping Matrix
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, creative capabilities, and more. As organizations […]