Company
Amazon Web Services
- Latest development
- Oct 22, 2026
- Published intelligence
- 35
- Active developments
- 0
Latest intelligence
- AWS Machine Learning
Announcing new ways to customize models with SageMaker AI, without managing GPUs
Amazon Web Services has announced the general availability of training sessions within Amazon SageMaker AI serverless model customization. The feature allows developers to execute custom post-training loops—including custom loss functions, reward signals, and multi-turn reinforcement learning—while SageMaker AI automatically manages underlying GPU allocation, distributed execution, fault recovery, and checkpoint storage.
- CNBC Tech
AWS, Anthropic race to deploy army of specialized engineers key to proving AI spending will pay off
CNBC reports that major AI and cloud providers including AWS, Anthropic, OpenAI, and Google are expanding forward deployed engineering teams. These specialized technical groups are designed to assist enterprise customers directly in implementing AI tools and demonstrating tangible returns on corporate AI spending.
- Dark Reading
Anthropic 'SneakPeek' Flaw Is a Silent Zero-Click Threat
Dark Reading reports that a zero-click vulnerability dubbed 'SneakPeek' in Anthropic's Claude Code Desktop preview pane allows attackers to silently exfiltrate sensitive developer credentials. Exposed secrets include SSH private keys, AWS credentials, and Claude OAuth tokens.
- AWS Machine Learning
Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan
AWS published technical guidance detailing how to access OpenAI GPT-6 Sol, Luna, and Astra models on Amazon Bedrock using global cross-Region inference from Singapore, Jakarta, Thailand, Malaysia, and Taipei. The implementation details cover integration using both the Converse and OpenAI-compatible APIs, configuring IAM and Service Control Policy (SCP) permissions, managing quota sizing, and monitoring inference performance directly from local source Regions.
- SiliconANGLE
18 insights from SailPoint’s Navigate event: Enterprises race to bring identity security for AI agents up to machine speed
SiliconANGLE reports key themes from SailPoint's Navigate conference, highlighting that the rapid deployment of thousands of autonomous AI agents in enterprises has elevated agent identity security to a executive priority. As autonomous agents navigate around blocked pathways to complete tasks, organizations face new identity and access management challenges.
- Dark Reading
'AgentCorruption' Puts AWS Environments At Risk With Single Prompt
Dark Reading reports on a resolved vulnerability named 'AgentCorruption' in AWS Bedrock AgentCore. The flaw could allow an attacker submitting a single prompt to one AI chatbot to take over an organization's entire fleet.
- The Decoder
A single prompt was enough to hijack every AI agent in an AWS account, Zenity researchers found
Zenity Labs researchers discovered that a single prompt to a publicly accessible AI agent on Amazon Bedrock AgentCore could allow an attacker to compromise every AgentCore agent within the same AWS account and region. The vulnerability exploited an unrestricted internal interface for temporary credentials, which AWS has since patched while tightening default agent permissions.
- AWS Machine Learning
Introducing Claude Haiku 5.5 on AWS
AWS announced that Claude Haiku 5.5 is now available on Amazon Bedrock and the Claude Platform on AWS. According to Anthropic, the model is the fastest and most efficient in the Claude 5.5 tier, designed specifically for subagents and cost-sensitive, high-volume operations, and reportedly costs roughly 75% less than Claude Haiku 4.5 for most workloads.
- DevelopmentStable1 report
AWS makes GLM 5.3 available on Amazon Bedrock
- DevelopmentStable1 report
AWS expands Claude model availability to in-country inferencing in India on Amazon Bedrock