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Models

AWS transforms security hub into multicloud and AI security control plane

Amazon Web Services has updated its Security Hub to function as a unified management layer for multicloud environments and AI workloads. The service now includes automated security checks for Amazon Bedrock to ensure models are configured according to best practices.

Why it matters

Enterprise teams building production AI require consistent governance across fragmented infrastructures. This update allows developers to monitor generative AI vulnerabilities and cross-cloud risks within a single interface.

Key points

  • Centralises security findings from AWS, Microsoft Azure, and Google Cloud Platform
  • Provides automated posture management for generative AI resources and model configurations
  • Simplifies compliance monitoring for teams deploying applications across multiple cloud environments

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OpenAI disbands preparedness team responsible for assessing catastrophic ai risks

OpenAI has reportedly dissolved its preparedness team, the group tasked with evaluating and mitigating potential catastrophic risks from advanced AI models. This internal restructuring follows several high profile departures from the company safety and alignment divisions.

Models

Deepseek raises V4 API pricing by up to eleven times ahead of reported IPO

DeepSeek has implemented a substantial price increase for its V4 API, with some costs rising by up to eleven times as of 16 August 2026. This shift signals the end of the low cost strategy the company utilised to disrupt the market in 2025. The adjustment coincides with industry reports suggesting the firm is preparing for an initial public offering.

Models

Writer releases enterprise-optimised GLM-5.2 variant with token-saving technology

Writer has launched a new variant of the open-source GLM-5.2 model, specifically post-trained to meet enterprise reliability standards. This release introduces a specialised harness designed to significantly reduce token consumption, directly addressing the high operational costs associated with large-scale model deployment.

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