The Tech Radar - Issue #08 (September 2025)

Baseten is one of a growing number of AI infrastructure providers, helping other startups run their models and experiments at speed and scale. Given the importance of those two factors to its customers, Baseten has just passed a significant milestone. By leveraging the latest Google Cloud A4 virtual machines (VMs) based on NVIDIA Blackwell, and Google Cloud’s Dynamic Workload Scheduler (‘DWS’) Baseten has achieved 225% better cost-performance for high-throughput inference and 25% better...

Find and fix security vulnerabilities. Deploy your app to the cloud. All without leaving your command-line. Today, we’re closing the gap between your terminal and the cloud with a first look at the future of Gemini CLI, delivered through two new extensions: security extension and Cloud Run extension . These extensions are designed to handle critical parts of your workflows with simple, intuitive commands: 1) /security:analyze performs a comprehensive scan right in your local repository, with...

At Google Cloud Next 2025, we announced new inference capabilities with GKE Inference Gateway , including support for vLLM on TPUs, Ironwood TPUs , and Anywhere Cache. Our inference solution is based on AI Hypercomputer , a system built on our experience running models like Gemini and Veo 3, which serve over 980 trillion tokens a month to more than 450 million users.

Artificial intelligence is rapidly transforming software development. But simply adopting AI tools isn’t a guarantee of success. Across the industry, tech leaders and developers are asking the same critical questions: How do we move from just using AI to truly succeeding with it? How do we ensure our investment in AI delivers better, faster, and more reliable software?

Earlier this year, we launched the second iteration of our GenAI Intensive course, which attracted over 280,000 learners. Now, we're taking things to the next level with…

As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function transformations unlocks its potential in a much broader scientific landscape. Following our recent post on solving high-order partial differential equations , or PDEs, we're excited to highlight another frontier where JAX is making a significant impact: AI-driven protein...

At Deutsche Bank Research , the core mission of our analysts is delivering original, independent economic and financial analysis. However, creating research reports and notes relies heavily on a foundation of painstaking manual work. Or at least that was the case until generative AI came along. Historically, analysts would sift through and gather data from financial statements, regulatory filings, and industry reports.

Google Arts & Culture's "Moving Paintings" project uses Veo, Google's advanced video generation model, to animate static art.

Today marks the launch of the Data Commons Model Context Protocol (MCP) Server, which allows developers to query our connected public data with simple, natural language.…

Google AI Pro and Ultra subscribers now get higher limits to Gemini CLI and Gemini Code Assist IDE extensions.

Try it out today in the Google app for Android and iOS.

Bryson DeChambeau is kicking off a partnership with Google Cloud to expand his AI aspirations.

Ten years ago, we introduced Google’s signature four-color G to match the new look and feel of our logo. The design update reflected all the ways people interacted with …

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on our platform. In this regular round-up , we dive into some of the exciting projects redefining businesses, shaping industries, and creating new categories. For our latest edition, we explore Uber ’s revamped network with modern edge; smarter, AI-infused site search at Target ; a wicked fast blockchain built by...

Today, we’re announcing the general availability of Claude Sonnet 4.5 , Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI. Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity while orchestrating tools and coordinating multiple agents to solve complex problems. It’s designed to excel at long-running tasks with enhanced domain knowledge in coding, finance, research, and cybersecurity.

Welcome to the second Cloud CISO Perspectives for September 2025. Today, Google Cloud COO Francis deSouza offers his insights on how boards of directors and CISOs can thrive with a good working relationship, adapted from a recent episode of the Cyber Savvy Boardroom podcast . As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog . If you’re reading this on the website and you’d like to receive the email version, you can subscribe here .

As cloud infrastructure evolves, so should how you safeguard that technology. As part of our efforts to help you maintain a strong security posture, we’ve introduced powerful capabilities that can address some of the thorniest challenges faced by IT teams who work with Google Compute Engine (GCE) virtual machines and Google Kubernetes Engine (GKE) containers.

Organizations today face immense pressure to secure their digital assets against increasingly sophisticated threats — without overwhelming their teams or budgets. Using managed security service providers (MSSPs) to implement and optimize new technology, and handle security operations, is a strategic delegation that can make internal security operations staff more efficient and effective.

As enterprises increasingly adopt model context protocol (MCP) to extend capabilities of AI models to better integrate with external tools, databases, and APIs, it becomes even more important to ensure secure MCP deployment. MCP unlocks new capabilities for AI systems; it can also introduce new risks, such as tool poisoning, prompt injection, and dynamic tool manipulation. These can lead to data exfiltration, identity subversion and misuse of AI systems.

The Domain Name System (DNS) is like the internet’s phone book, automatically and near-instantly translating requests for websites and mobile apps from their domain names to the Internet Protocol addresses of the actual computers hosting them. As part of the bedrock of the internet, DNS and domain name lookup are also prime vehicles for threat actors to launch cyberattacks, so DNS-based protections can act as an important early layer of defense against cyberattacks.

Welcome to the first Cloud CISO Perspectives for September 2025. Today, Daryl Pereira and Hui Meng Foo, from our Office of the CISO’s Asia-Pacific office, share insights on AI from security leaders who attended our recent Google Cloud CISO Community event in Singapore. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog . If you’re reading this on the website and you’d like to receive the email version, you can subscribe here .

Security leaders are clear about their priorities: After AI, cloud security is the top training topic for decision-makers. As threats against cloud workloads become more sophisticated, organizations are looking for highly-skilled professionals to help defend against these attacks. To help organizations meet their need for experts who can manage a modern security team’s advanced tools, Google Cloud’s new Professional Security Operations Engineer (PSOE) certification can help train specialists to.

The security operations centers of the future will use agentic AI to enable intelligent automation of routine tasks, augment human decision-making, and streamline workflows. At Google Cloud, we want to help prepare today’s security professionals to get the most out of tomorrow’s AI agents. As we build our agentic vision , we’re also excited to invite you to the first Agentic SOC Workshop: Practical AI for Today's Security Teams.

Securing AI systems is a fundamental requirement for business continuity and customer trust, and Google Cloud is at the forefront of driving secure AI innovations and working with partners to meet the evolving needs of customers. Our secure-by-design cloud platform and built-in security solutions are continuously updated with the latest defenses, helping security-conscious organizations confidently build and deploy AI workloads.

Written by: Sarah Yoder, John Wolfram, Ashley Pearson, Doug Bienstock, Josh Madeley, Josh Murchie, Brad Slaybaugh, Matt Lin, Geoff Carstairs, Austin Larsen Introduction Google Threat Intelligence Group (GTIG) is tracking BRICKSTORM malware activity, which is being used to maintain persistent access to victim organizations in the United States. Since March 2025, Mandiant Consulting has responded to intrusions across a range of industry verticals, most notably legal services, Software as a...

Written by: Rommel Joven, Josh Fleischer, Joseph Sciuto, Andi Slok, Choon Kiat Ng Update (September 3): This post was updated to include information about GoTokenTheft usage. In a recent investigation, Mandiant Threat Defense discovered an active ViewState deserialization attack affecting Sitecore deployments leveraging a sample machine key that had been exposed in Sitecore deployment guides from 2017 and earlier. An attacker leveraged the exposed ASP.

AI is transforming how people work and how businesses operate. But with these powerful tools comes a critical question: how do we empower our teams with AI, while ensuring corporate data remains protected? A key answer lies in the browser, an app most employees use every day, for most of their day. Today, we announced several new AI advancements coming to Chrome, which redefine how browsers can help people with daily tasks, and work is no exception.

Editor’s note: Today’s post is by Alyson Butler, Director of Team Member Experiences at TELUS , a communications technology company with more than 20 million customer connections. TELUS has integrated ChromeOS, Google Workspace, Chrome Enterprise Premium, and Cameyo to support its transformation into a globally recognized technology leader. Thirty-five years ago, TELUS started out by providing telecommunication services to Canadians.

Editor’s note: Today’s post is by Syed Mohammad Mujeeb, CIO and Arsalan Mazhar, Head of Infrastructure, for JS Bank a prominent and rapidly growing midsize commercial bank in Pakistan with a strong national presence of over 293 branches. JS Bank, always at the forefront of technology, deployed a Google stack to modernize operations while maintaining security & compliance.

Learn more about Google Meet’s real-time language translation feature.

Learn how to get AI insights in one easy step in Google Sheets.

Gmail’s protections are strong and effective. Claims that we issued a warning to Gmail users about a major Gmail security issue are false.

Most businesses with mission-critical workloads have a two-fold disaster recovery solution in place that 1) replicates data to a secondary location, and 2) enables failover to that location in the event of an outage. For BigQuery, that solution takes the shape of BigQuery Managed Disaster Recovery. But the risk of data loss while testing a disaster recovery event remains a primary concern.

Editor’s note: Target set out to modernize its digital search experience to better match guest expectations and support more intuitive discovery across millions of products. To meet that challenge, they rebuilt their platform with hybrid search powered by filtered vector queries and AlloyDB AI . The result: a faster, smarter, more resilient search experience that’s already improved product discovery relevance by 20% and delivered measurable gains in performance and guest satisfaction.

We introduced Cross-Cloud Network to help organizations transform hybrid and multicloud connectivity, and today, many customers are using it to build distributed applications across multiple clouds, on-premises networks, and the internet. A key aspect of this evolution is the ability to scale with IPv6 addressing. However, the transition from IPv4 to IPv6 is a gradual process creating a coexistence challenge: How do IPv6-only devices reach services and content that still resides on IPv4...

Editor’s note : Rent the Runway is redefining how consumers engage with fashion, offering on-demand access to designer clothing through a unique blend of e-commerce and reverse logistics. As customer expectations around speed, personalization, and reliability continue to rise, Rent the Runway turned to Google Cloud’s fully managed database services to modernize its data infrastructure.

At Google Cloud Next ’25, we announced the preview of AlloyDB on C4A virtual machines , powered by Google Axion processors, our custom Arm-based CPUs. Today, we’re glad to announce that C4A virtual machines are generally available! For transactional workloads, leveraging C4A, AlloyDB provides nearly 50% better price-performance compared to N series machines for transactional workloads, and up to 2x better throughput performance compared to Amazon’s Graviton4-based offerings, bringing...

The world of enterprise technology is at an inflection point. Businesses are no longer just looking to modernize their infrastructure; they're seeking to infuse intelligence and automation into every aspect of their operations. At Google Cloud, we believe the future lies in a unified, intelligent, and flexible enterprise landscape. That's why we're so excited about our latest innovations and partnerships with SAP, all designed to help customers unlock the true potential of their data and...

High-quality text embeddings are the engine for modern AI applications like semantic search, classification, and retrieval-augmented generation (RAG). But when it comes to picking a model to generate these embeddings, we know one size doesn’t fit all. Some use cases demand state-of-the-art quality, while others prioritize cost, speed, or compatibility with the open-source ecosystem.

Google Kubernetes Engine (GKE) is a powerful platform for orchestrating scalable AI and high-performance computing (HPC) workloads. But as clusters grow and jobs become more data-intensive, storage I/O can become a bottleneck. Your powerful GPUs and TPUs can end up idle, while waiting for data, driving up costs and slowing down innovation. Google Cloud Managed Lustre is designed to solve this problem.

The role of the data scientist is rapidly transforming. For the past decade, their mission has centered on analyzing the past to run predictive models that informed business decisions. Today, that is no longer enough. The market now demands that data scientists build the future by designing and deploying intelligent, autonomous agents that can reason, act, and learn on behalf of the enterprise. This transition moves the data scientist from an analyst to an agentic architect.

In June, Google introduced Gemini CLI , an open-source AI agent that brings the power of Gemini directly into your terminal. And today, we’re excited to announce open-source Gemini CLI extensions for Google Data Cloud services. Building applications and analyzing trends with services like Cloud SQL, AlloyDB and BigQuery has never been easier — all from your local development environment!

Autopilot is an operational mode for Google Kubernetes Engine (GKE) that provides a fully managed environment and takes care of operational details, like provisioning compute capacity for your workloads. Autopilot allows you to spend more time on developing your own applications and less time on managing node-level details. This year, we upgraded Autopilot’s autoscaling stack to a fully dynamic container-optimized compute platform that rapidly scales horizontally and vertically to support your..

Innovating with AI requires accelerators such as GPUs that can be hard to come by in times of extreme demand. To address this challenge, we offer Dynamic Workload Scheduler (DWS), a service that optimizes access to compute resources when and where you need them. In July, we announced Calendar mode in DWS to provide short-term ML capacity without long-term commitments, and today, we are taking the next step: the general availability (GA) of Flex-start VMs .

September 29 - October 3 Cloud SQL announced support for Managed Connection Pool (in GA) in MySQL Managed Connection Pooling lets you scale your workloads by optimizing resource utilization for Cloud SQL instances using pooling. You can now also use IAM authentication to secure connections when using Managed Connection Pooling. To understand how it works, its key benefits, and how to configure Managed Connection Pooling for your workloads, dive into the guide .

As companies transition past legacy infrastructure and set themselves up for growth in AI, multi-cloud, and platform engineering requirements, many are looking to Google Cloud for its reliability, performance, and cost benefits. To achieve successful migrations, especially at the enterprise level, organizations need a seasoned partner with a deep understanding of platform modernization, automation, and business outcomes.

Organizations are consistently looking to gain an edge with the latest advancements in cloud computing. New Google Compute Engine and Google Kubernetes Engine (GKE) Gen4 machine series including N4, C4, C4A, C4D, to name a few, offer significant improvements in performance, cost-efficiency, and capabilities. However, migrating to new hardware isn't always straightforward.

For ten years, Google Kubernetes Engine (GKE) has been at the forefront of innovation, powering everything from microservices to cloud-native AI and edge computing. To honor this special birthday, we’re challenging you to catapult your microservices into the future with cutting-edge agentic AI. Are you ready to celebrate? Build AI Agents on GKE in the GKE Turns 10 Hackathon Why join?

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Data centers are the engines of the cloud, processing and storing the information that powers our daily lives. As digital services grow, so do our data centers and we are working to responsibly manage them. Google thinks of infrastructure at the full stack level, not just as hardware but as hardware abstracted through software, allowing us to innovate.

Getting ahead — and staying ahead — of the demand for AI skills isn’t just key for those looking for a new role. Research shows proving your skills through credentials drives promotion, salary increase, leadership opportunities and more. And 8 in 10 Google Cloud learners feel our training helps them stay ahead in the age of AI. 1 This is why we are so focused on providing new AI training content ensuring you have the tools to keep up in this ever-evolving space.

Growing up in a Navy family instilled a strong sense of purpose in me. My father’s remarkable 42 years of naval service not only shaped my values, but inspired me to join the Navy myself. Today, as the leader of Google Public Sector, I'm honored to continue that tradition of service in support of our federal government. Over the past year, Google Public Sector has made significant strides in delivering AI and secure cloud infrastructure to government agencies.

Summer has drawn to a close here in Utrecht, where I live in the Netherlands. In two weeks, I’ll be attending AWS Community Day 2025 , hosted at the Kinepolis Jaarbeurs Utrecht on September 24. The single-day event will bring together over 500 cloud practitioners from across the Netherlands, featuring 25 breakout sessions across five technical tracks.

Last week, Strands Agents , AWS open source for agentic AI SDK just hit 1 million downloads and earned 3,000+ GitHub Stars less than 4 months since launching as a preview in May 2025 . With Strands Agents, you can build production-ready, multi-agent AI systems in a few lines of code. We’ve continuously improved features including support for multi-agent patterns, A2A protocol, and Amazon Bedrock AgentCore.

Organizations building custom machine learning (ML) models often have specialized requirements that standard platforms can’t accommodate. For example, healthcare companies need specific environments to protect patient data while meeting HIPAA compliance, financial institutions require specific hardware configurations to optimize proprietary trading algorithms, and research teams need flexibility to experiment with cutting-edge techniques using custom frameworks.

Amazon Bedrock now offers Stability AI Image Services: 9 tools that improve how businesses create and modify images. The technology extends Stable Diffusion and Stable Image models to give you precise control over image creation and editing. Clear prompts are critical—they provide art direction to the AI system. Strong prompts control specific elements like tone, texture, lighting, and composition to create the desired visual outcomes.

This post was written with Alex Gnibus of Stability AI. Stability AI Image Services are now available in Amazon Bedrock , offering ready-to-use media editing capabilities delivered through the Amazon Bedrock API. These image editing tools expand on the capabilities of Stability AI’s Stable Diffusion 3.5 models (SD3.5) and Stable Image Core and Ultra models, which are already available in Amazon Bedrock and have set new standards in image generation.

In March, Amazon Web Services (AWS) became the first cloud service provider to deliver DeepSeek-R1 in a serverless way by launching it as a fully managed, generally available model in Amazon Bedrock . Since then, customers have used DeepSeek-R1’s capabilities through Amazon Bedrock to build generative AI applications, benefiting from the Bedrock’s robust guardrails and comprehensive tooling for safe AI deployment. Today, I am excited to announce DeepSeek-V3.

Today we are adding Qwen models from Alibaba in Amazon Bedrock . With this launch, Amazon Bedrock continues to expand model choice by adding access to Qwen3 open weight foundation models (FMs ) in a full managed, serverless way. This release includes four models: Qwen3-Coder-480B-A35B-Instruct , Qwen3-Coder-30B-A3B-Instruct , Qwen3-235B-A22B-Instruct-2507 , and Qwen3-32B (Dense) .

This post was written with Sarah Ostermeier from Comet. As enterprise organizations scale their machine learning (ML) initiatives from proof of concept to production, the complexity of managing experiments, tracking model lineage, and managing reproducibility grows exponentially. This is primarily because data scientists and ML engineers constantly explore different combinations of hyperparameters, model architectures, and dataset versions, generating massive amounts of metadata that must be...

This post is co-written by Mark Warner, Principal Solutions Architect for Thales, Cyber Security Products. As generative AI applications make their way into production environments, they integrate with a wider range of business systems that process sensitive customer data. This integration introduces new challenges around protecting personally identifiable information (PII) while maintaining the ability to recover original data when legitimately needed by downstream applications.

AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents —a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team dynamics. The challenge, however, is not just building such agents but also running them reliably and securely in production.

In the benefits administration industry, claims processing is a vital operational pillar that makes sure employees and beneficiaries receive timely benefits, such as health, dental, or disability payments, while controlling costs and adhering to regulations like HIPAA and ERISA. Businesses aim to optimize the workflow—covering claim submission, validation, adjudication, payment, and appeals—to enhance employee satisfaction, strengthen provider relationships, and mitigate financial risks.

This post was written with Lucas Dahan, Dil Dolkun, and Mathew Ng from PropHero. PropHero is a leading property wealth management service that democratizes access to intelligent property investment advice through big data, AI, and machine learning (ML). For the Spanish and Australian consumer base, PropHero needed an AI-powered advisory system that could engage customers in accurate property investment discussions.

Today, we are excited to announce support for DoWhile loops in Amazon Bedrock Flows . With this powerful new capability, you can create iterative, condition-based workflows directly within your Amazon Bedrock flows, using Prompt nodes, AWS Lambda functions, Amazon Bedrock Agents , Amazon Bedrock Flows inline code, Amazon Bedrock Knowledge Bases , Amazon Simple Storage Service (Amazon S3), and other Amazon Bedrock nodes within the loop structure.

Site reliability engineers (SREs) face an increasingly complex challenge in modern distributed systems. During production incidents, they must rapidly correlate data from multiple sources—logs, metrics, Kubernetes events, and operational runbooks—to identify root causes and implement solutions. Traditional monitoring tools provide raw data but lack the intelligence to synthesize information across these diverse systems, often leaving SREs to manually piece together the story behind system...

This blog was co-authored with Kuldeep Singh, Head of AI Platform at Innovaccer. The integration of agentic AI is ushering in a transformative era in health care, marking a significant departure from traditional AI systems. Agentic AI demonstrates autonomous decision-making capabilities and adaptive learning in complex medical environments, enabling it to monitor patient progress, coordinate care teams, and adjust treatment strategies in real time.

When modernizing applications, customers in regulated industries like government, financial, and research face a critical challenge: how to transform their systems while meeting strict digital sovereignty and security compliance requirements. A common misconception tied to this is that data must be moved to an AWS Region to fully use Amazon Web Services (AWS) security services.

Organizations are innovating and growing their cloud presence to deliver better customer experiences and drive business value. To support and protect this growth, organizations can use Amazon GuardDuty , a threat detection service that continuously monitors for malicious activity and unauthorized behavior across your AWS environment. GuardDuty uses artificial intelligence (AI), machine learning (ML), and anomaly detection using both AWS and industry-leading threat intelligence to help protect...

We’re pleased to announce the completion of our annual AWS Outsourced Service Provider’s Audit Report (OSPAR) audit cycle on August 7, 2025, based on the newly enhanced version 2.0 guidelines (OSPAR v2.0). AWS is the first global cloud service provider in Singapore to obtain the report using the new OSPAR v2.0 guidelines. The Association of Banks in Singapore (ABS) established the Guidelines on Control Objectives and Procedures for Outsourced Service Providers (ABS Guidelines) to provide...

Amazon Web Services (AWS) successfully completed an onboarding audit with no findings for ISO 9001:2015 , 27001:2022 , 27017:2015 , 27018:2019 , 27701:2019 , 20000-1:2018 , and 22301:2019 , and Cloud Security Alliance (CSA) STAR Cloud Controls Matrix (CCM) v4.0 . EY CertifyPoint auditors conducted the audit and reissued the certificates on August 13, 2025.

I joined Amazon Web Services (AWS) as a principal security engineer 3 years ago and my first project was leading security for PL/Rust on Amazon Relational Database Service (Amazon RDS) . This is an extension that lets you write custom functions for PostgreSQL in Rust, which are then compiled to native machine code. These functions can be quite performant and offer a lot of advantages to customers.

AWS Network Firewall is a managed firewall service that filters and controls network traffic in Amazon Virtual Private Cloud (Amazon VPC) . Unlike traditional network controls such as security groups or network access control lists (NACLs), Network Firewall can inspect and make decisions based on information from higher layers of the OSI model, including the Transport through Application layers.

Organizations are increasingly using large language models (LLMs) to provide new types of customer interactions through generative AI-powered chatbots, virtual assistants, and intelligent search capabilities. To enhance these interactions, organizations are using Retrieval-Augmented Generation (RAG) to incorporate proprietary data, industry-specific knowledge, and internal documentation to provide more accurate, contextual responses.

Amazon Web Service (AWS) recently announced that AWS Organizations now offers full AWS Identity and Access Management (IAM) policy language support for service control policies (SCPs). With this feature, you can use conditions, individual resource Amazon Resource Names (ARNs), and the NotAction element with Allow statements. Additionally, you can now use wildcards at the beginning or middle of the Action element strings and implement the NotResource element in both Allow and Deny statements in..

October 1, 2025: This post was updated to reflect the new name of Security Hub, which is AWS Security Hub CSPM (Cloud Security Posture Management). Security teams must efficiently validate and document exceptions to AWS Security Hub (Cloud Security Posture Management, previously known as Security Hub) findings , while maintaining proper governance. Enterprise security teams need to make sure that exceptions to security best practices are properly validated and documented, while development...

Security and governance teams across all environments face a common challenge: translating abstract security and governance requirements into a concrete, integrated control framework. AWS services provide capabilities that organizations can use to implement controls across multiple layers of their architecture—from infrastructure provisioning to runtime monitoring.

Security threats demand swift action, which is why AWS Security Incident Response delivers AWS-native protection that can immediately strengthen your security posture. This comprehensive solution combines automated triage and evaluation logic with your security perimeter metadata to identify critical issues, seamlessly bringing in human expertise when needed.

According to BCG research , 84% of executives view responsible AI as a top management responsibility, yet only 25% of them have programs that fully address it. Responsible AI can be achieved through effective governance, and with the rapid adoption of generative AI, this governance has become a business imperative, not just an IT concern. By implementing systematic governance approaches at the enterprise level, organizations can balance innovation with control, effectively managing the risks...

In Part 1 of this series , we explored the fundamental risks and governance considerations. In this part, we examine practical strategies for adapting your enterprise risk management framework (ERMF) to harness generative AI’s power while maintaining robust controls. This part covers: Adapting your ERMF for the cloud Adapting your ERMF for generative AI Sustainable Risk Management By the end of this post, you’ll have a roadmap for scaling generative AI adoption securely and responsibly.

The enhanced AWS Security Hub (currently in public preview) prioritizes your critical security issues and helps you respond at scale to protect your environment. It detects critical issues by correlating and enriching signals into actionable insights, enabling streamlined response. You can use these capabilities to gain visibility across your cloud environment through centralized management in a unified cloud security solution.

As generative AI becomes foundational across industries—powering everything from conversational agents to real-time media synthesis—it simultaneously creates new opportunities for bad actors to exploit. The complex architectures behind generative AI applications expose a large surface area including public-facing APIs, inference services, custom web applications, and integrations with cloud infrastructure. These systems are not immune to classic or emerging external threats.

Today we are delighted to introduce the End User Computing (EUC) Lens , an Amazon Web Services (AWS) Well-Architected whitepaper. Using the AWS Well-Architected Framework , the end user computing lens outlines steps for performing an AWS Well-Architected review. This empowers customers to assess and identify technical risks. The AWS Well-Architected Framework provides a consistent approach for customers to evaluate architectures and implement scalable designs.

We are excited to share that Microsoft launched a public preview of Microsoft Teams optimization for Amazon WorkSpaces . This new capability significantly enhances the Teams experience for Amazon WorkSpaces users by optimizing audio and video streaming performance. A Strategic Collaboration AWS and Microsoft have worked closely together to bring this highly requested feature to WorkSpaces customers.

Overview Many large enterprises struggle with IT support inefficiencies where service desks are overwhelmed by high volumes of basic requests that employees could resolve through self-service options. This creates longer wait times for employees and prevents IT staff from focusing on complex technical issues. A leading international financial services organization, with $1.46 trillion in assets under management and over 20,000 employees, faced this exact challenge.

Contact center leaders continually seek enhanced visibility into their Amazon Connect costs to make informed operational decisions. Today, we’re introducing the Amazon Connect Cost Insight Dashboard, a powerful solution that transforms your raw billing data into actionable insights. This purpose-built tool provides comprehensive cost analysis capabilities specifically designed for contact center optimization, enabling you to identify efficiency opportunities while maintaining service excellence.

Imagine a scenario where a customer calls an organization about a billing issue. A contact center agent resolves it, but three days later, the same customer emails about a related problem. A different agent picks up the email, has no context about the previous call, and asks the customer to explain everything again. Meanwhile, a promised follow-up task sits forgotten in someone’s inbox, and the compliance team has no audit trail of what happened.

Gartner, a company that delivers actionable, objective insight to executives and their teams, has published the 2025 Gartner Magic Quadrant for Contact Center as a Service (CCaaS) . Amazon Web Services (AWS) was recognized as a Leader for Amazon Connect , our AI-powered, cloud-native customer experience solution. Amazon Connect is built on the same technology that powers Amazon.com’s own customer service operations, offering AI-driven capabilities across all customer touchpoints.

Technology conferences and events serve as vital opportunities for innovation, knowledge sharing, and networking in the rapidly evolving technology industry. These gatherings range from large international conventions attracting tens of thousands of attendees, or more specialized conferences focused on specific sectors such as AI, cybersecurity, or a particular industry.

Reliable SMS delivery is a critical requirement for many businesses. However, SMS communications can be impacted by factors outside your direct control, such as carrier availability and delivery challenges. In this post, we explore strategies for building resilient SMS architectures using AWS End User Messaging . We discuss how to architect your SMS communications at the originator, account, and Regional levels to support high availability and seamless failover, even in the face of disruptions.

We are excited to introduce the AWS Well-Architected Supply Chain Lens , a new addition to the AWS Well-Architected Framework. The Supply Chain Lens includes a whitepaper and a Lens JSON document now available in the Lens Catalog of the AWS Well-Architected Tool. The AWS Well-Architected Framework provides a consistent approach for customers and partners to evaluate architectures and implement scalable designs.

Introduction In today’s digital world, Internet of Things (IoT) security and compliance continues to evolve. The European Union’s Cyber Resilience Act (CRA) is reshaping how IoT manufacturers, developers, and service providers approach their work. Let’s explore what this means for AWS IoT customers and manufacturers using connected devices. Understanding the CRA’s impact The CRA, enacted on December 10, 2024 (The Act’s requirements will not apply before Sep 2026 for vulnerability reporting...

Amazon VPC Route Server enables dynamic routing within Amazon Virtual Private Cloud (Amazon VPC) using Border Gateway Protocol (BGP). You can use Amazon VPC Route Server for effective and intelligent traffic control between cloud applications and on-premises systems. Amazon VPC Route Server uses BGP to provide advanced control over traffic paths, especially for failures, and it reduces manual overhead and human errors.

Ransomware events have become a board room priority for modern organizations. The data shows a clear trend: ransomware events have more than doubled since the pandemic began, with the financial services sector experiencing particularly high targeting rates. At AWS, our cross-field collaboration with global financial services customers, regulators, governing bodies and industry partners has resulted in an accredited architecture for a Cloud Hosted Data Vault (CHDV ), or vault for short.

The blue/green deployment strategy enables you to release applications by shifting traffic between two identical environments running different versions of the application. This allows you to mitigate common risks associated with deploying software, because you can roll back to a previous deployment instantly. Amazon Elastic Container Service ( Amazon ECS ) recently announced native support for blue/green deployments, removing the need to manage and integrate with other deployment tools.

Amazon Web Services (AWS) is announcing the availability of universal macOS installers for the AWS Command Line Interface ( AWS CLI ) v2. What’s new Starting with AWS CLI v2 version 2.30.0, the AWS CLI installers will provide universal binary support for macOS that works natively on both Apple silicon and Intel processors with a single download. This eliminates the need for Rosetta translation, a compatibility layer that enables Intel-based applications to run on Apple silicon Macs.

Oracle Database@AWS (ODB@AWS) is an offering you can use to access Oracle Exadata infrastructure managed by Oracle Cloud Infrastructure (OCI) within Amazon Web Services (AWS) data centers. You can use ODB@AWS to migrate your Oracle Exadata workloads to AWS while maintaining the same performance and features as your on-premises Oracle Exadata deployments.

As organizations migrate more mission-critical workloads to the cloud, optimizing for price-performance becomes a key consideration. Amazon Elastic Compute Cloud (Amazon EC2) instances powered by AMD EPYC processors deliver high core density, large memory bandwidth, and hardware-enabled security features, making them a strong option for a wide range of compute, memory, and I/O-intensive workloads.

Layer 2 (L2) network extensions play a critical role in hybrid cloud and data center migrations by providing seamless connectivity between on-premises and cloud environments. They allow virtual machines (VMs) to keep their IP and MAC addresses, ensuring application continuity during migrations or hybrid deployments. Three prominent solutions for L2 extensions are VMware HCX, Nutanix Move, and Cisco Catalyst 8000V.

Introduction In today’s cloud migration landscape, organizations would like to share their VMware environment data with AWS and partners while maintaining data confidentiality. A tool commonly used to export VMware configuration data is called RVTools. An RVTools export can contain sensitive information such as server names, IP addresses, and infrastructure details that organizations may want to protect.

The AWS SDK for Java 1.x (v1) entered maintenance mode on July 31, 2024, and will reach end-of-support on December 31, 2025. We recommend that you migrate to the AWS SDK for Java 2.x (v2) to access new features, enhanced performance, and continued support from AWS. To help you migrate efficiently, we’ve created a migration tool that automates much of the transition process. This tool uses OpenRewrite , an open source automated code refactoring tool, to upgrade supported 1.x code to 2.x code.

This post is co-written with Shreelola Hegde,Sriharsha Devineni and Lee Watterworth from Cloudera. Cloudera is a global leader in enterprise data management, analytics, and AI. The Cloudera platform enables organizations to manage, process, and analyze massive datasets, helping businesses across industries like finance, healthcare, manufacturing, and telecommunications accelerate AI/ML adoption and unlock real-time insights.

In PostgreSQL, data storage is optimized through a variety of mechanisms, one of which is The Oversized-Attribute Storage Technique ( TOAST ). This mechanism helps efficiently store large data types by moving them out-of-line into a separate table. While TOAST is an integral part of the database’s architecture, it can sometimes lead to unexpected performance issues, particularly when the underlying object identifiers (OIDs) approach their maximum limit .

Automated testing in a pre-production environment is crucial for verifying the reliability and stability of software releases in any organization. However, for many applications, writing and executing these tests necessitates the use of data from production system. This production data is valuable for testing and development because it represents real-world scenarios, usage patterns, and edge cases that might not be captured in synthetic test data.

Amazon Elastic Container Service (Amazon ECS) now supports IPv6-only workloads, thus users can run containerized applications in IPv6-only environments without IPv4 dependencies while maintaining compatibility with existing applications and Amazon Web Services (AWS) services. Although Amazon ECS has previously supported IPv4 and dual-stack subnets , this new capability expands networking options to address emerging user needs.

This is a guest post co-written by Divya Moorjaney, Principal Machine Learning Engineer at Smartsheet. Smartsheet is a leading SaaS-based collaborative work management platform trusted by enterprises worldwide to manage projects, automate workflows, and drive collaboration at scale. Smartsheet, a long time AWS customer, has continuously evolved to meet the growing needs of its global user base.

Quantum computers promise to revolutionize computation for problems across many industrial sectors, though understanding exactly how useful this technology will be remains an open question. In this blog post, the team from Strangeworks, an AWS Partner, evaluates different implementations of the Quantum Approximate Optimization Algorithm (QAOA) against an aircraft cargo loading problem posed by Airbus as part of last year’s Quantum Mobility Challenge .

Ever wonder how a kid’s passion for sports statistics could transform into a groundbreaking analytics career in the National Football League (NFL)? Meet Mike Band, senior manager of research and analytics with NFL Next Gen Stats . Band’s story proves that following your passion and curiosity can lead to extraordinary careers. Whether you’re an aspiring data or machine learning (ML) engineer or experienced data analyst, this post offers inspiration and guidance on starting or progressing your...

Quantum Key Distribution (QKD) is a method of exchanging encryption keys that complements traditional and post-quantum cryptography by offering a different kind of security guarantee: the ability to reveal whether a key exchange has been observed or disrupted. This blog explores BB84 —the first and most well-known QKD protocol—to illustrate how quantum principles can be used to secure key exchange against undetected interference.

Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle “what if the API call fails?” or “what if the user asks something unexpected?” Despite this effort, agents still broke when they encountered scenarios that weren’t anticipated.

This post was co-authored with Owen Janson, Audra Devoto, and Christopher Brown of Metagenomi. From CRISPR gene editing to industrial biocatalysis, enzymes power some of the most transformative technologies in healthcare, energy, and manufacturing. But discovering novel enzymes that can transform an industry — such as Cas9 for genome engineering — requires sifting through the billions of diverse enzymes encoded by organisms spanning the tree of life.

For learners looking to share their Amazon Web Service (AWS) journey with confidence and professionalism, AWS Skill Builder now offers Skills Profile—a powerful new way to highlight your verified AWS certifications, learning achievements, and badges in one shareable profile. Skills Profile has customizable sharing options that you can use to tell your unique cloud skills story while building visibility and credibility in your industry.

Welcome to September’s post announcing new training course launches and certification launches—helping equip you and your teams with the skills to work with AWS services and solutions. Missed our August course update? Check it out here . This month, we launched five new digital training products on AWS Skill Builder including a mobile app for AWS Card Clash (available for Apple and Android products), a new way to share your AWS achievements via Skills Profile, and three new digital training...

Today, we’re excited to announce the availability of AWS Card Clash on mobile devices. This 3D virtual card game designed to help you explore AWS Cloud architecture and solution design is now available on both the Apple App Store and Google Play Store. AWS Card Clash transforms complex cloud concepts into an enjoyable learning experience accessible to players of all skill levels.

Introducing “The 3D Podcast: Spatial Computing on AWS” – Where Immersive Technology Meets Cloud Innovation We’re thrilled to announce the launch of “The 3D Podcast: Spatial Computing on AWS,” a new show dedicated to exploring the cutting-edge intersection of spatial computing and cloud technology. In an era where digital experiences are becoming increasingly immersive and three-dimensional, this podcast arrives at a crucial moment to help technologists, business leaders, and innovators navigate.

Organizations across various industries are struggling with the exponential growth of unstructured data—images, text documents, PDFs, audio and video files, and specialized formats such as genomic sequences. Unlike structured data with clear organization, unstructured data typically lacks standardized organization, making it challenging to discover, access, and derive insights from these valuable assets.

Given a three-dimensional model of a drug’s potential target (the binding site), what is the orientation of the drug candidate molecule that best “fits” (docks onto) this binding site? Structure-based drug design involves the use of computational tools to answer this very question! Chugai Pharmaceutical Co., Ltd., a leading Japanese pharmaceutical company, specializes in the research, development, manufacturing, and marketing of prescription medications targeting oncology, immunology/allergy,...

In the era of digital health transformation, patient 360 has emerged as a cornerstone approach for modernizing healthcare services. Consolidating comprehensive patient information into a single, accessible format, across various healthcare providers and settings, enables healthcare professionals to make more informed decisions. It also streamlines care coordination and delivers more personalized patient journeys.

Introduction: the fragmentation of smart homes today Today’s smart home landscape presents a complex challenge that directly impacts consumer adoption and satisfaction. With the average household now deploying more than a dozen connected devices, the market remains highly fragmented across multiple protocols, platforms, and manufacturers. Recent market analysis shows that this technological fragmentation stands as the largest barrier to mass-market adoption, forcing consumers to manage multiple.

Healthcare organizations face a transformative moment where data modernization redefines patient care delivery. The healthcare industry’s adoption of AI marks a fundamental change in diagnosis, treatment planning, and patient outcomes. This evolution creates a future of precision medicine and personalized care accessible to everyone. According to Deloitte’s “2025 Global Health Care Executive Outlook” , 92 percent of healthcare executives are experimenting with or investing in generative AI,...

How do you know that an entity matching ruleset or model is actually accurate enough? Whether evaluating multiple identity providers or building your own matching rules, companies need to establish clear, accuracy level criteria they want to achieve, as well as the framework to measure and compare different approaches objectively. Companies who do not measure their identity processes objectively can stretch out implementation periods by weeks or even months—repeat steps or instituting costly...

Our latest video generation model is more physically accurate, realistic, and controllable than prior systems. It also features synchronized dialogue and sound effects. Create with it in the new Sora app.

To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections.

Sora 2 is our new state of the art video and audio generation model. Building on the foundation of Sora, this new model introduces capabilities that have been difficult for prior video models to achieve– such as more accurate physics, sharper realism, synchronized audio, enhanced steerability, and an expanded stylistic range.

Learn how OpenAI used AI to deliver personalized answers at scale, converting inbound leads into customers.

Learn how OpenAI uses AI to enhance support, cutting response times, improving quality, and scaling to meet hypergrowth.

OpenAI built a system to extract contract data quickly, cutting turnaround times and making it easier for teams to access the details they need.

At OpenAI, we rely on our own technology to help streamline work, scale expertise, and drive outcomes. In our new series, OpenAI on OpenAI, we share lessons to help other organizations do the same.

Learn how OpenAI boosts sales productivity by automating prep, centralizing knowledge, and scaling top-selling practices.

OpenAI’s research assistant helps teams analyze millions of support tickets, surface insights faster, and scale curiosity across the company.

We’re rolling out parental controls and a new parent resource page to help families guide how ChatGPT works in their homes.

Discover how OpenAI combats online child sexual exploitation and abuse with strict usage policies, advanced detection tools, and industry collaboration to block, report, and prevent AI misuse.

We’re taking first steps toward agentic commerce in ChatGPT with new ways for people, AI agents, and businesses to shop together.

OpenAI and AARP are partnering to help older adults stay safe online with new AI training, scam-spotting tools, and nationwide programs through OpenAI Academy and OATS’s Senior Planet initiative.

ChatGPT business plans now support shared projects, smarter connectors, and enhanced compliance features to help teams work faster and more securely.

OpenAI introduces GDPval, a new evaluation that measures model performance on real-world economically valuable tasks across 44 occupations.

Today we're releasing a preview of ChatGPT Pulse to Pro users on mobile. Pulse is a new experience where ChatGPT proactively does research to deliver personalized updates based on your chats, feedback, and connected apps like your calendar.

By deploying ChatGPT Enterprise, ENEOS Materials transformed operations with faster research, safer plant design, and streamlined HR processes. Over 80% of employees report major workflow improvements, strengthening competitiveness in manufacturing.

SAP and OpenAI launch OpenAI for Germany, a 2026 partnership to bring secure, sovereign AI to Germany’s public sector, enabling safe, efficient public services.

OpenAI, Oracle, and SoftBank announce five new Stargate AI datacenter sites, accelerating a $500B, 10-gigawatt U.S. infrastructure buildout to power next-generation AI and create tens of thousands of jobs.

In this Executive Function series from OpenAI, discover how CNA is transforming its newsroom with AI. Editor-in-Chief Walter Fernandez shares insights on AI adoption, culture, and the future of journalism.

American-made innovation...

Discover how SchoolAI, built on OpenAI’s GPT-4.1, image generation, and TTS, powers safe, teacher-guided AI tools for 1 million classrooms worldwide—boosting engagement, oversight, and personalized learning.

OpenAI and NVIDIA announce a strategic partnership to deploy 10 gigawatts of AI datacenters powered by NVIDIA systems, with the first phase launching in 2026.

Apollo Research and OpenAI developed evaluations for hidden misalignment (“scheming”) and found behaviors consistent with scheming in controlled tests across frontier models. The team shared concrete examples and stress tests of an early method to reduce scheming.

OpenAI, NVIDIA, and Nscale launch Stargate UK, a sovereign AI infrastructure partnership delivering up to 50,000 GPUs and the UK’s largest supercomputer to power national AI innovation, public services, and economic growth.

Explore OpenAI’s approach to balancing teen safety, freedom, and privacy in AI use.

Learn how OpenAI is building age prediction and parental controls in ChatGPT to create safer, age-appropriate experiences for teens while supporting families with new tools.

Codex just got faster, more reliable, and better at real-time collaboration and tackling tasks independently anywhere you develop—whether via the terminal, IDE, web, or even your phone.

New research from the largest study of ChatGPT use shows how the tool creates economic value through both personal and professional use. Adoption is broadening beyond early users, closing gaps and making AI a part of everyday life.

This addendum to the GPT-5 system card shares a new model: GPT-5-Codex, a version of GPT-5 further optimized for agentic coding in Codex. GPT-5-Codex adjusts its thinking effort more dynamically based on task complexity, responding quickly to simple conversational queries or small tasks, while independently working for longer on more complex tasks.

OpenAI shares progress on the partnership with the US CAISI and UK AISI to strengthen AI safety and security. The collaboration is setting new standards for responsible frontier AI deployment through joint red-teaming, biosecurity safeguards, and agentic system testing.

Applications are now open for OpenAI Grove, a 5-week founder program designed for individuals at any stage, from pre-idea to product. Participants receive $50K in API credits, early access to AI tools, and hands-on mentorship from the OpenAI team.

OpenAI reaffirms its nonprofit leadership with a new structure granting equity in its PBC, enabling over $100B in resources to advance safe, beneficial AI for humanity.

OpenAI and Microsoft sign a new MOU, reinforcing their partnership and shared commitment to AI safety and innovation.

Discover how SafetyKit leverages OpenAI GPT-5 to enhance content moderation, enforce compliance, and outpace legacy safety systems with greater accuracy .

Applications are now open for OpenAI’s People-First AI Fund, a $50M initiative supporting U.S. nonprofits advancing education, community innovation, and economic opportunity. Apply by October 8, 2025, for unrestricted grants that help communities shape AI for the public good.

OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety.

OpenAI invites researchers to its Bio Bug Bounty. Test GPT-5’s safety with a universal jailbreak prompt and win up to $25,000.

OpenAI and the Greek Government have launched “OpenAI for Greece” to bring ChatGPT Edu into secondary schools and support responsible AI learning. This partnership aims to boost AI literacy, fuel local start-ups, and drive national economic growth.

OpenAI is launching a Jobs Platform and new Certifications to connect workers with jobs, training, and certifications. Learn how we’re expanding economic opportunity and making AI skills more accessible.

Vijaye Raji will step into a new role as CTO of Applications, reporting to CEO of Applications, Fidji Simo, following the acquisition of Statsig.

We’re partnering with experts, strengthening protections for teens with parental controls, and routing sensitive conversations to reasoning models in ChatGPT.

By Kristin Foss, Jason Nassi, and Vincent Nordell. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, meet Kristin Foss, VP of Software Engineering for Customer Centric Engineering (CCE), who led her 180-person Engineering team to revolutionize customer escalations with AI-powered agents and automation tools.

In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Jillian Wilmarth, Director of the Heroku Platform Engineering Organization. Jillian led her team in a groundbreaking effort to rebuild the entire platform infrastructure on Kubernetes, a significant move for the company that pioneered Platform-as-a-Service.

By Aya Yohanan-Rokach and Vivienne Wei . How do you enable thousands of engineers to adopt AI tools at a 94% rate while maintaining enterprise security and reliability? Salesforce achieved this by operationalizing AI productivity at scale and fostering an AI-native engineering culture, with a critical focus on operational trust. “Trust is our number one value at Salesforce….

In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Tanya Shukla, Senior Product Manager on the Hyperforce Secured Networking team. Her team dramatically improved cost-to-serve economics of Salesforce’s Hyperforce platform by redesigning key components to better leverage public cloud capabilities.

By Amit Chakrabarty, Prabhat Singh, and Sanjeev Chhabria. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Amit Chakrabarty, Senior Director of Product Management. Amit collaborated with Salesforce’s Hyperforce Secure Networking engineering team on the development of the Trusted Perimeter, a secure edge platform that acts as the first line of defense for more than 4.

In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Scott Yancey, EVP of Software Engineering, who led a significant cultural and technical transformation within his team. Under his guidance, the organization achieved impressive AI adoption rates, even while dealing with complex technical limitations and organizational resistance.

Every two years, the Ryder Cup captivates sports fans worldwide. Unlike any other golf tournament, the biennial event transforms an individual sport into a team competition, as the top 12 players from the United States and Europe face off in a head-to-head match play competition. This weekend, the golf drama will unfold at the storied Bethpage Black Course in New York, as rivalry and camaraderie collide.

Today, success in customer experience is rarely defined by sweeping campaigns or one-time transactions. It is earned in the countless small moments that make up every interaction: a question answered instantly, a recommendation guided by intelligent insights, or a service engagement that anticipates a need before it is voiced. Unite your business processes end to end with customer experience solutions from SAP Learn how These moments are the building blocks of delivering seamless and memorable..

This week in New York, business leaders from every corner of the world are uniting to address evolving global challenges and accelerate solutions. Across multiple events and stages, SAP is sharing how its artificial intelligence (AI) edge is helping leading companies shape the future of business by turning environmental, regulatory, and market pressures into opportunities for action.

SAP confirms that the European Commission has started formal proceedings involving the company. These proceedings address some areas of our on-premise maintenance and support policies, which are based on long-standing standards that are common across the global software sector. SAP believes that its policies and actions are fully in line with competition rules. However, we take the issues raised seriously and we are working closely with the EU Commission to resolve them.

The divide between the digital skills young people possess and the needs of employers is a big challenge and contributes to a high youth unemployment rate, particularly in the Global South. The SAP Educate to Employ initiative is set up as a digital pathway through Youth Agency Marketplace (YOMA), a public-private-youth ecosystem from UNICEF’s Generation Unlimited. The program aims to address this challenge and enable young people’s skills for a digital economy. Nearly 90 percent of the 1.

WALLDORF and SAN FRANCISCO — SAP SE (NYSE: SAP) and OpenAI today announced the launch of OpenAI for Germany, a partnership to bring SAP’s enterprise applications expertise and OpenAI’s leading AI technology to Germany’s public sector. SAP Sovereign Cloud: Embrace the cloud — without compromise Learn how To ensure sovereignty, OpenAI for Germany will be supported by SAP’s subsidiary Delos Cloud, running on Microsoft Azure technology.

New sovereign cloud collaboration combines SAP enterprise applications expertise with AWS cloud infrastructure, enabling customers in highly regulated industries to pursue AI innovation WALLDORF — Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and SAP SE (NYSE: SAP) today unveiled plans to make SAP Sovereign Cloud capabilities available on the AWS European Sovereign Cloud, a new, independent cloud for Europe backed by a planned €7.8 billion investment from Amazon.

In an era defined by constant disruption, business leaders face a formidable challenge: aligning their people strategy with business goals amidst unpredictable workforce dynamics. From surging turnover to rapidly shifting skill requirements, the pressure on human resources has never been greater. The key to navigating this complexity and building a resilient, future-proof organization lies not in guesswork but in harnessing an organization’s most valuable and often underutilized asset: its...

The SAP Global LoB Partner Excellence Awards are an SAP partner recognition program focusing on valuable contributions towards achieving SAP’s cloud growth ambitions through the following lines of business: HCM, SAP Customer Experience, Spend Management, and Supply Chain Management. Complementing the SAP Pinnacle Awards , SAP’s premier global partner recognition program, the SAP Global LoB Partner Excellence Awards allow more granular recognition for achievements within the specific lines of...

ROSELAND, N.J. and WALLDORF — ADP, a global leader in HR and payroll solutions, and SAP SE (NYSE: SAP), a global leader in enterprise applications and business AI, are partnering to enable shared clients to run ADP Global Payroll in the cloud. This collaboration marks the next milestone in the longstanding partnership between ADP and SAP and illustrates a shared commitment to help enterprises transform their payroll operations.

WALLDORF — SAP SE (NYSE: SAP) today announced that UiPath Inc. (NYSE: PATH), a global leader in agentic automation , has successfully gone live with an SAP Cloud ERP Private solution as part of its strategic digital transformation initiative. Run your core operations with confidence using a ready-to-run cloud ERP from SAP Learn how The company achieved 93% clean core in solution design and 88% clean core across the overall implementation, advancing its goals to modernize ERP, a component of its.

With the Catena-X collaborative data ecosystem, the automotive industry has successfully demonstrated how sovereign data exchange works. Factory-X now transfers these proven principles to mechanical engineering—from the supply chain to the shop floor. Europe faces a crucial challenge: while the region has been successful for decades with the principle of “quality over cost,” other continents are catching up in quality while also pursuing aggressive pricing strategies.

We are thrilled to share that SAP has once again been named a Strategic Leader in the 2025 Fosway 9-Grid™ for Cloud HR. This report provides a multi-dimensional model to help organizations compare and choose the best cloud HR and learning tech provider in the European market to meet their business needs. According to Fosway, vendors recognized as Strategic Leaders provide a rich suite of capability across a broad scope of features and have the sophistication to meet the needs of complex...

Moving to cloud ERP is not just investing in new software. It is committing to changing how your business operates. Run your core operations with confidence using a ready-to-run cloud ERP Learn how That is the reality. Behind all the talk of faster deployments and streamlined processes lies a deeper shift. It requires rethinking your data, core processes, and how teams work together. And this shift does not begin at go-live.

SAP Business AI can boost productivity with technology that aligns with the AI strategies of our customers—ranging from building effective agents to managing intelligent systems. Among the many announcements at SAP Sapphire in 2025, the company unveiled new innovations, partnerships, and integrations that can deliver real-time, proactive assistance. For example, SAP’s AI copilot Joule is now available to users across SAP and non-SAP systems.

We’re proud to announce that SAP is a Leader in the Gartner Magic Quadrant for Cloud HCM Suites for 1,000+ Employee Enterprises for the 10 th consecutive time. SAP was once again recognized for its ability to execute and completeness of vision. Gartner defines cloud HCM suites for 1,000+ employee enterprises as cloud application suites that deliver functionality for attracting, developing, engaging, retaining, and managing employees.

People are the pulse of every organization. Their skills and agility determine whether a company is able to innovate, grow, and adapt to meet the constant changes in technology and customer demands. Equip every employee to meet their potential and foster success across your organization with SAP Learn how Attracting and hiring the best talent is more important and more competitive than ever before.

In today’s digital landscape, visibility into your SAP solutions is paramount, not just a luxury. Enter the customer insights dashboard , a strategic tool within SAP for Me designed to transform complex data into clear insights and, ultimately, into informed decisions. SAP for Me: tailored digital gateway SAP for Me transcends the typical portal; it’s your customized digital gateway to holistic SAP insights.

WALLDORF — SAP SE (NYSE: SAP) today announced it has completed the acquisition of SmartRecruiters, a leading provider of enterprise-grade talent acquisition software. With this acquisition, SAP continues to expand its commitment to helping organizations attract, engage and hire top talent. The SmartRecruiters platform, known for its intuitive user experience and seamless workflows, will now be integrated with the SAP SuccessFactors Human Capital Management (HCM) suite.

From boardrooms to shop floors, companies are moving quickly to embed AI into their operations. The goals are clear: drive efficiencies, reduce costs, and deliver smarter, faster, more personal customer experiences. Fuel profitable growth and turn every customer interaction into a seamless, engaging experience with SAP Learn how This makes a lot of sense given that today 89% of businesses are expected to compete primarily on CX. However, the results aren’t always matching the hype.

WALLDORF — SAP SE (NYSE: SAP) today announced the successful go-live of PwC’s implementation of the SAP Cloud ERP solution, marking a major milestone to modernize and unify PwC’s operations. Run your core operations with confidence using a ready-to-run cloud ERP from SAP Learn how By taking advantage of the SAP solutions in SAP Business Suite, such as SAP Cloud ERP; SAP Business Technology Platform (SAP BTP); SAP Concur; SAP Analytics Cloud; SAP Datasphere; SAP Advanced Financial Closing; SAP...

Today’s flood of AI information for business leaders is often overwhelming and it frequently lacks the guidance you really need. You want to know where to start, how to scale, and how to ensure your AI investments move the needle on business results. Explore real-world AI use cases tailored to your line of business Learn more On top of that, you know AI agents are the new frontier and will allow you to automate processes that today absorb a large amount of time and resources.

Although the iconic German footwear and fashion brand Birkenstock is synonymous with a laid-back lifestyle, before it took the first step on a journey to transform its North American operations the company carefully planned the project and left nothing to chance. Birkenstock’s technology transformation included launching a new subsidiary in Canada and replacing an outdated, 16-year-old AS 400 system in the U.S.

W ALLDORF — SAP SE (NYSE: SAP) today announced that the Mercedes-AMG PETRONAS Formula One Team is leveraging intelligent enterprise solutions from SAP to drive operational excellence, innovation, and regulatory compliance as the sport prepares for the new 2026 FIA financial regulations. Cloud ERP: Seize opportunities and secure your success with an integrated suite of solutions Learn how With the 2026 cost cap set to increase to US$215 million to accommodate new technical regulations and...

Decades of SAP’s experience in securing mission-critical operations now powers the demands of sovereignty, regulation, and AI-driven growth WALLDORF — SAP SE (NYSE: SAP) today announced a comprehensive new approach to digital sovereignty and AI innovation. SAP Sovereign Cloud: Embrace the cloud without compromise Learn how Expanded offerings within the SAP Sovereign Cloud portfolio give European customers access to a comprehensive technology stack, including SAP Cloud Infrastructure and SAP...