AWS First Steps
LanguageEnglish
Region expansion

Daybreak Red from OpenAI now available to eligible customers on Amazon Bedrock in AWS GovCloud (US-East)

Amazon Bedrock now offers OpenAI's Daybreak Red in AWS GovCloud (US-East), enabling authorized security professionals to use advanced AI for vulnerability research, exploit reproduction, and mitigation development with enhanced controls and privacy

OpenAI's Daybreak Red is now available on Amazon Bedrock in AWS GovCloud (US-East) for authenticated customers. Built for permitted vulnerability research, attack simulation, and mitigation development, Daybreak Red: GPT-5.6 Cyber enhances complex security investigation capabilities, reduces task denials, and provides stronger identity verification, monitoring, and access control. It runs on Bedrock's next-generation inference engine with chip-level zero-operator access enforcement. Inference data isn't used for model training, and Daybreak Red data need not be shared with OpenAI. The model is available in US East (Ohio) and AWS GovCloud (US-East), requiring Daybreak access registration from OpenAI. To begin, contact your OpenAI or AWS account team about Daybreak eligibility, then work with your AWS account team to enable access after approval.

Why it matters

Daybreak Red is now available in AWS GovCloud (US-East) on Amazon Bedrock, providing security teams with advanced AI tools for authorized vulnerability research, exploit reproduction, and defense development

Regions: AWS GovCloud (US-East), Ohio

Read the original AWS announcement

Related articles and terms

The Layered Architecture of AWS AI/ML Services - Flexibility Through the Three Tiers of SageMaker, Bedrock, and API ServicesThis article organizes AWS AI/ML services into three layers - SageMaker (full control), Bedrock (managed generative AI), and Rekognition/Comprehend/etc. (API-based) - and explains AWS's flexibility through comparisons with GCP Vertex AI and Azure OpenAI Service, including custom silicon integration.Amazon BedrockA fully managed service that provides access to multiple large language models via API, with built-in customization using your own data and configurable guardrailsGenerative AI Platform - Building an Enterprise AI Foundation with Amazon BedrockLearn how to build generative AI applications using Amazon Bedrock. This guide covers foundation model selection, RAG pattern implementation, safety guardrails, and SageMaker integration for designing enterprise-grade AI infrastructure.AWS Trusted AdvisorA service that checks your AWS environment for cost optimization, performance, security, and resilience improvementsBuilding an ML Platform with Amazon SageMaker - From Model Development to DeploymentFrom development in Studio to managed spot training, MLOps with Pipelines, and data drift detection with Model Monitor, this article covers how to integrate the entire ML lifecycle.