The Tech Radar - Issue #14 (March 2026)

Learn more about Google DeepMind’s Project Genie and how to write prompts to create your own worlds.

Canvas in AI Mode is now available for everyone in the U.S. Plus, it can now help you draft documents or build interactive tools.

Here are Google’s latest AI updates from February 2026...

A new Google AI initiative aims to improve heart health outcomes for people living in remote Australian communities.

We're expanding Personal Intelligence across AI Mode in Search, the Gemini app and Gemini in Chrome.

Google is making new investments, building new tools and developing code security to improve open source security.

Lyria 3 is now available in paid preview through the Gemini API and for testing in Google AI Studio.

We’re expanding Search Live globally, to all languages and locations where AI Mode is available.

Gemini 3.1 Flash Live is now available across Google products.

Google Translate’s Live translate with headphones is officially arriving on iOS! And we're expanding the capability for both iOS and Android users to even more countries…

The traveling salesman problem asks a deceptively simple question: What's the shortest route that visits every point exactly once? It's one of the hardest problems in computer science, and mathematicians have been working on it for nearly a century. It's also what FM Logistic 's warehouse operators face every day in Poland. The facility spans eight football fields. It holds over 17,700 picking locations.

In the latest episode of our Dialogues on Technology and Society series, LL COOL J sits down with James Manyika.

AI has made it easier than ever for student developers to work efficiently, tackle harder problems, and pursue ambitious projects. But for students earning technical degrees, these new capabilities also create genuine tensions around learning. How much should I use AI? What should I use it for? As 90% of technology professionals now use AI in their daily work according to Google's DORA 2025 report , understanding how the next generation navigates these tools matters more than ever.

As ​​developers build AI agents with more sophisticated reasoning systems, they require higher-quality fuel–in the form of enterprise data and specialized tools–to drive real business value. To get the most out of that octane-rich mix, we offer Google-managed model context protocol (MCP) servers: an engine purpose-built for AI agents to interact securely with Google and Google Cloud services.

For skiers and snowboarders, every moment on the mountain is about maximizing the fun — chasing fresh lines, perfecting a new trick, or exploring new terrain. Whether they're exploring a familiar favorite or visiting a new mountain for the first time, riders want the right info at their fingertips so they can move with confidence, find hidden gems, and feel like they belong from the moment they arrive.

Welcome to the second Cloud CISO Perspectives for March 2026. Today, Nick Godfrey details his conversation with Francis deSouza at RSA Conference, and how it’s part of our approach to bold and responsible AI use. 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 . aside_block ), ('btn_text', 'Visit the hub'), ('href', 'https://cloud.

aside_block ), ('btn_text', ''), ('href', ''), ('image', None)])]> AI-driven defense is changing the cybersecurity industry in ways that defenders have long hoped for, and Google Security is bringing its most significant capabilities yet to RSA Conference. With the agentic security operations center as our foundation, and empowered by the unprecedented reasoning capabilities of the newest Gemini models, we are supercharging the defender’s advantage.

Most threat intelligence teams have plenty of data, as they’re inundated with thousands of false positives that can all too easily obscure the threats that matter most. Merely reducing the alerts can risk missing out on critical threats, so a smarter solution is needed — and Google Threat Intelligence can help. The problem isn't a lack of data — it’s a lack of relevance.

Cloud Run provides a powerful and scalable platform for deploying applications. Today, we’re introducing the general availability of two major enhancements to Cloud Run security: direct Identity-Aware Proxy (IAP) integration, and a way to allow public access to Cloud Run services that is compatible with Domain Restricted Sharing (DRS). Introducing direct IAP on Cloud Run IAP lets you easily control user access to applications running in Google Cloud.

AI is fundamentally driven by data. It is used to train and tune models, enable agents to plan and reason, and fuel interactions with end users. However, it can also create risks, such as sensitive data leaks, unwanted data collection, and data misuse. In the AI era, organizations need more than security controls that rely on manual tagging and simple keyword matching. Effective data protection now depends on understanding context.

Google’s security-first mindset comes from more than two decades of building some of the largest and most secure computing systems in the world. As software and AI permeate more industries, and business innovation increasingly centers on the adoption of AI and cloud computing technology, securing your organizations from new threats grows more complex every day. I am proud to announce today that Google has completed its acquisition of Wiz, a leading cloud and AI security platform.

Welcome to the first Cloud CISO Perspectives for March 2026. Today, Bob Mechler and Crystal Lister, from Google Cloud’s Office of the CISO, share cloud threat intelligence and analysis from our new Cloud Threat Horizons Report. 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 .

In today’s cyber threat landscape, U.S. state and local governments find themselves under continuous attack, with bad actors leveraging AI to act with greater speed and sophistication. The need to secure mission-critical workloads has never been greater. In light of these challenges, we are proud that Google has been named a Leader in the IDC MarketScape: U.S. State and Local Government Professional Security Services 2025–2026 Vendor Assessment .

A secure foundation is essential for tech innovation. As organizations embrace agentic AI, they should also continue to prioritize cloud security and risk management. To help organizations better manage security requirements and set configurations, today we’re publishing a recommended security checklist inspired by the Minimum Viable Secure Product (MVSP) principles.

Every year, the cyber threat landscape forces defenders to adapt to evolving adversary tactics, techniques, and procedures (TTPs). In 2025, Mandiant observed a clear divergence in adversary pacing that closely aligns with the trends we have been documenting for defenders over the past year. On one end of the spectrum, cyber criminal groups optimized for immediate impact and deliberate recovery denial.

Introduction Google Threat Intelligence Group (GTIG) has identified a new iOS full-chain exploit that leveraged multiple zero-day vulnerabilities to fully compromise devices. Based on toolmarks in recovered payloads, we believe the exploit chain to be called DarkSword. Since at least November 2025, GTIG has observed multiple commercial surveillance vendors and suspected state-sponsored actors utilizing DarkSword in distinct campaigns.

Written by: Bavi Sadayappan, Zach Riddle, Ioana Teaca, Kimberly Goody, Genevieve Stark Introduction Since 2018, when many financially motivated threat actors began shifting their monetization strategy to post-compromise ransomware deployments, ransomware has become one of the most pervasive threats to organizations across almost every industry vertical and region.

Written by: Matthew McWhirt, Bhavesh Dhake, Emilio Oropeza, Gautam Krishnan, Stuart Carrera, Greg Blaum, Michael Rudden UPDATE (March 13): Added guidance around abuse or misuse of endpoint / MDM platforms . Background Threat actors leverage destructive malware to destroy data, eliminate evidence of malicious activity, or manipulate systems in a way that renders them inoperable.

Written by: Casey Charrier, James Sadowski, Zander Work, Clement Lecigne, Benoît Sevens, Fred Plan Executive Summary Google Threat Intelligence Group (GTIG) tracked 90 zero-day vulnerabilities exploited in-the-wild in 2025. Although that volume of zero-days is lower than the record high observed in 2023 (100), it is higher than 2024’s count (78) and remained within the 60–100 range established over the previous four years, indicating a trend toward stabilization at these levels.

Introduction Google Threat Intelligence Group (GTIG) has identified a new and powerful exploit kit targeting Apple iPhone models running iOS version 13.0 (released in September 2019) up to version 17.2.1 (released in December 2023) . The exploit kit, named “Coruna” by its developers, contained five full iOS exploit chains and a total of 23 exploits. The core technical value of this exploit kit lies in its comprehensive collection of iOS exploits, with the most advanced ones using non-public...

Today we announced new beta features for Gemini in Sheets to help you create, organize and edit entire sheets, from basic tasks to complex data analysis — just describe …

RSA brings together so many great minds in the security industry. Whether it’s the solution providers continuing to support the ever changing risk landscape, the research community bringing new best practices to others in the field, or in-house security professionals expanding their knowledge to drive more secure experiences in their workforce, there is so much to catch up on when it comes to enterprise security.

We’re excited to announce a new online platform for the Chrome Enterprise Customer Community : a global, open platform now accessible to all our business customers. This community is designed for IT professionals, security professionals, and business leaders who deploy and manage Chrome Enterprise across their organizations, regardless of the operating system or device type.

These new Gemini features are coming to Google Docs, Sheets, Slides and Drive to help you get more done.

Managing planned maintenance is critical for ensuring business continuity and application performance. However, as your usage of cloud services grows, staying on top of maintenance schedules can be complex and time-consuming. Current approaches often result in inconsistent notifications and varying levels of control across different products. To help you avoid missed maintenance windows and disruptions, we are announcing the General Availability (GA) of Unified Maintenance, a centralized...

The flexibility of Google Cloud allows enterprises to build secure and reliable architecture for their AI workloads. In this blog we will look at a reference architecture for private connectivity for retrieval-augmented generation (RAG)-capable generative AI applications. This architecture is for scenarios where communications of the overall system must use private IP addresses and must not traverse the internet.

The telecommunications industry has reached a critical tipping point. Traditional, on-premises-heavy data center models are struggling under the weight of escalating infrastructure costs and an under utilization due to availability and compliance requirements. But the AI era demands exponential scale and beyond-nines reliability. The question for operators is no longer if they should modernize, but which architectural path will help them do that fastest.

When platform engineers, AI Infrastructure leads and developers think about autoscaling workloads running on Kubernetes, their goal is straightforward: get the capacity they need, when they need it, at the best price. However, while scaling on CPU and memory is simple enough, scaling on application signals like queue depth or active requests is not. Historically, it’s been achieved via a complex sequence of different steps involving monitoring, IAM and specific agent configuration, adding...

Modern data teams dedicate a huge portion of their time to managing analytics overhead rather than just analyzing data. This includes tasks such as identifying necessary data, configuring schedules, or investigating the reasons behind a stalled job. Beyond these operational challenges, they also need an assistant that is versed in their data and has the context of their current work.

The era of agentic AI is fundamentally changing enterprise infrastructure needs. As organizations build systems capable of dynamic reasoning and autonomous execution, the underlying infrastructure must evolve as well. Scaling these agentic workloads alongside massive mixture-of-experts (MoE) architectures demands a deeply optimized co-engineered stack.

The world of artificial intelligence is moving fast, and so is the need to serve models reliably and at scale. Today, we're thrilled to announce the preview of multi-cluster GKE Inference Gateway to enhance the scalability, resilience, and efficiency of your AI/ML inference workloads across multiple Google Kubernetes Engine (GKE) clusters — even those spanning different Google Cloud regions.

A common pattern for applications that read frequently from a database is to offload read-heavy workloads to a read replica. This allows applications to scale without impacting critical write operations on the primary database instance. However, these read-heavy workloads can easily exceed the capacity of a single read replica. While developers can manually implement multiple replicas behind a load balancer, this approach is complex and difficult to maintain and scale.

Backend developers and architects building high-throughput, low-latency applications increasingly rely on Valkey, an open-source, high-performance key-value datastore that supports a variety of workloads such as caching and message queues. At Google Cloud, we offer a fully managed version as part of Google Cloud Memorystore , and today, we’re excited to announce the general availability (GA) of Valkey 9.0, delivering both massive performance gains and powerful new developer capabilities.

The transition toward trillion-parameter AI models has created an exponential demand for computational resources, testing the limits of traditional infrastructure. The seventh-generation Ironwood TPU features Google’s custom-designed AI infrastructure: It is engineered to scale as a holistic system supporting pods of up to 9,216 chips by combining Inter-Chip Interconnect (ICI), Optical Circuit Switch (OCS), Data Center Network (DCN) and massive aggregated High Bandwidth Memory (HBM) capacity.

At Google Cloud, serving the massive-scale needs of large foundation model builders and AI-native companies is at the forefront of our AI infrastructure strategy. As generative AI transitions to mission-critical production environments, these innovators require dynamic, relentlessly efficient infrastructure to overcome complex orchestration challenges and power an agentic future.

As the cloud-native community gathers in Amsterdam for Kubecon + Cloudnativecon Europe this week, we’re excited to highlight some of the work we are doing to support both the open-source Kubernetes ecosystem and Google Kubernetes Engine (GKE). From breaking down the walls between cluster operating modes to making Kubernetes the absolute best place to run AI agents and Ray, here’s a look at what we are rolling out.

The explosion of large language models (LLMs) has increased demand for high-performance accelerators like GPUs and TPUs. As organizations scale their AI capabilities, the scarcity of compute resources is sometimes the primary bottleneck. Efficiently managing every GPU and TPU cycle is no longer just a recommendation — it’s an operational necessity. Kubernetes is becoming the de facto platform for running LLMs in the enterprise .

Editor’s note : Manhattan Associates, a global leader in supply chain and omnichannel commerce solutions, modernized its Manhattan Active SaaS platform by moving from legacy Oracle and DB2 systems to Google Cloud databases. With Cloud SQL and BigQuery, the company now processes over a billion API calls per day with average response times under 150 milliseconds, supporting hundreds of thousands of monthly active users across tens of thousands of stores and distribution centers.

Editor’s note: ID.me is transforming digital identity security, proving that establishing your identity can be easy. What's more, their platform has scaled to support 160 million members and can support up to 40,000 users per minute.To support services like tax filing that require massive scale and power real-time AI, the team migrated 50 terabytes of data from their legacy platform to Google Cloud, adopting a modern architecture on AlloyDB, Cloud SQL, and Vertex AI.

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Hey builders! Stop typing, and start interacting! We are moving beyond the text box. The future of AI is all about immersive, real-time experiences. To celebrate multimodal AI, we’re challenging you to build the next generation of agents that can help you see, hear, speak, and create in the Gemini Live Agent Challenge . Build multimodal AI agents in the Gemini Live Agent Challenge Build Multimodal AI agents in the Gemini Live Agent Challenge Why join?

Last week, what excited me most was the launch of the 2026 AWS AI & ML Scholars program by Swami Sivasubramanian , VP of AWS Agentic AI, to provide free AI education to up to 100,000 learners worldwide. The program has two phases: a Challenge phase where you’ll learn foundational generative AI skills, followed by a fully funded three-month Udacity Nanodegree for the top 4,500 performers. Anyone 18 or older can apply, with no prior AI or ML experience required.

Hello! I’m Daniel Abib, and this is my first AWS Weekly Roundup. I’m a Senior Specialist Solutions Architect at AWS, focused on the generative AI and Amazon Bedrock. With over 28 years of experience in solution architecture, software development, and cloud architecture, I help Startups & Enterprises harness the power of generative AI with Amazon Bedrock.

Twenty years ago this past week, Amazon S3 launched publicly on March 14, 2006. While Amazon Simple Storage Service is often considered the foundational storage service that defined cloud infrastructure, what began as a simple object storage service has grown into something far larger in scope and scale. As of March 2026, S3 stores more than 500 trillion objects, serves more than 200 million requests per second globally across hundreds of exabytes of data, and the price has dropped to just over.

Fiti AWS Student Community Kenya! Last week was an incredible whirlwind: a round of meetups, hands-on workshops, and career discussions across Kenya that culminated with the AWS Student Community Day at Meru University of Science and Technology , with keynotes from my colleagues Veliswa and Tiffany , and sessions on everything from GitOps to cloud-native engineering, and a whole lot of AI agent building.

Today, we’re announcing the general availability of OpenClaw on Amazon Lightsail to launch OpenClaw instance, pairing your browser, enabling AI capabilities, and optionally connecting messaging channels. Your Lightsail OpenClaw instance is pre-configured with Amazon Bedrock as the default AI model provider. Once you complete setup, you can start chatting with your AI assistant immediately — no additional configuration required.

Deploying agentic AI in financial services requires additional security controls that address AI-specific risks. This post walks you through comprehensive observability and fine-grained access controls—two critical capabilities for maintaining explainability and accountability in AI systems. You will learn seven design principles and get implementation guidance for meeting regulatory requirements while deploying secure AI solutions.

June 3, 2022: Original publication date of this post. This post has been updated to add the additional IAM policy types: Resource control policies. You manage access in AWS by creating policies and attaching them to AWS Identity and Access Management (IAM) principals (roles, users, or groups of users) or AWS resources. AWS evaluates these policies when an IAM principal makes a request, such as uploading an object to an Amazon Simple Storage Service (Amazon S3) bucket.

Amazon threat intelligence has identified an active Interlock ransomware campaign exploiting CVE-2026-20131, a critical vulnerability in Cisco Secure Firewall Management Center (FMC) Software that could allow an unauthenticated, remote attacker to execute arbitrary Java code as root on an affected device, which was disclosed by Cisco on March 4, 2026.

We’re excited to announce that Amazon Web Services (AWS) has completed its second GDV (German Insurance Association) community audit with 36 members from the Germany insurance industry participating, corresponding to over 63% coverage of the German market in terms of insurance premiums. Community audits are an efficient method to provide additional assurance to a group of customers on security of the cloud as described in the AWS Shared Responsibility Model in addition to AWS Compliance...

If your organization relies on AWS IAM Identity Center for workforce access, you can now extend that access across multiple AWS Regions with multi-Region replication. Previously, AWS access portal was only available in one Region, when you add an additional Region, users get an active access portal endpoint there. If the primary Region experiences a disruption, they can continue working through the additional Region.

As organizations scale their cloud infrastructure, maintaining proper lifecycle management of Amazon Machine Images (AMIs) is a critical component of their security and risk management goals. AMIs provide the essential information required to launch Amazon Elastic Compute Cloud (Amazon EC2) instances, however; they present security and compliance challenges if not tracked and managed throughout their lifecycle.

In January 2026, we announced the general availability of the AWS European Sovereign Cloud, a new, independent cloud for Europe entirely located within the European Union (EU), and physically and logically separate from all other AWS Regions. The unique approach of the AWS European Sovereign Cloud provides the only fully featured, independently operated sovereign cloud backed by strong technical controls, sovereign assurances, and legal protections designed to meet the sensitive data needs of...

The RSAC 2026 Conference brings together thousands of professionals, practitioners, vendors, and associations to discuss issues covering the entire spectrum of cybersecurity—a place where innovation meets collaboration and the industry’s brightest minds converge to shape its future. This March, Amazon Web Services (AWS) returns to the annual RSAC Conference in San Francisco to share how unifying security and data empowers teams to protect AI-driven workloads while maximizing existing security...

After talking with many customers, one thing is clear: the security challenge has not gotten easier. Enterprises today operate across a complex mix of environments, including on-premises infrastructure, private data centers, and multiple clouds, often with tools that were never designed to work together. The result is enterprise security teams spend more time managing tools than managing risk, making it harder to stay ahead of threats across an increasingly complex environment.

We’re excited to announce that Amazon Web Services (AWS) has completed the annual Dubai Electronic Security Centre (DESC) certification audit to operate as a Tier 1 Cloud Service Provider (CSP) for the AWS Middle East (UAE) Region. This alignment with DESC requirements demonstrates our continued commitment to adhere to the heightened expectations for CSPs. Government customers of AWS can run their applications in AWS Cloud-certified Regions with confidence.

Amazon Web Services (AWS) successfully completed the annual recertification audit with no findings for ISO 9001:2015 , 27001:2022 , 27017:2015 , 27018:2019 , 27701:2019 , 20000-1:2018 , 22301:2019 , and Cloud Security Alliance (CSA) STAR Cloud Controls Matrix (CCM) v4.0 . The objective of the audit was to enable AWS to expand their ISO and CSA STAR certifications to include one new AWS Region and one new AWS service to the scope.

To help you troubleshoot access denied errors, we recently added the Amazon Resource Name (ARN) of the denying policy to access denied error messages. This builds on our 2021 enhancement that added the type of the policy denying the access to access denied error messages. The ARN of the denying policy is only provided in same-account and same-organization scenarios. This change is gradually rolling out across all AWS services in all AWS Regions. What changed?

Amazon Web Services (AWS) is pleased to announce the issuance of the Swiss Financial Market Supervisory Authority (FINMA) Type II attestation report with 183 services in scope. The Swiss Financial Market Supervisory Authority (FINMA) has published several requirements and guidelines about engaging with outsourced services for the regulated financial services customers in Switzerland.

IT teams managing hundreds or thousands of Amazon WorkSpaces face a critical challenge controlling costs while maintaining optimal user experience across their virtual desktop infrastructure. Without deep visibility into usage patterns, session data, and resource utilization, organizations struggle to identify cost optimization opportunities, spot inactive workspaces, and make informed decisions about AutoStop versus AlwaysOn configurations.

We are excited to announce the availability of new Amazon WorkSpaces G6, Gr6, and G6f Graphics bundles for WorkSpaces Personal and WorkSpaces Core . These bundles are built on Amazon EC2 G6, Gr6, and G6f instances respectively and powered by NVIDIA L4 Tensor Core GPUs. When running representative graphics and ML inference workloads, the G6 family delivers up to 2x better performance for deep learning and graphics workloads compared to G4dn instances .

Every day, Amazon Customer Service handles millions of customer contacts across Amazon and its subsidiaries, spanning multiple regions including North America, Europe, South Africa, and Asia Pacific. Managing contact flows at this scale across multiple Amazon Connect instances to accommodate Retail and Amazon subsidiaries required a scalable, programmatic approach. The team set out to maintain consistency and support rapid innovation while maintaining high-quality customer experiences.

1. Introduction Amazon Connect supports voice/video and chat as separate channels, each with its own APIs. Using native or custom widgets, these channels operate independently. This works for most contact center scenarios. But what happens when a customer and an agent need more than just talking and seeing each other? For example, a customer calls to finalize a loan application. The agent confirms pre-approval. But the customer must review and sign a document, and the mailed copy hasn’t arrived.

Modern applications often need to send notifications across multiple channels either through email and/or SMS. However, building a reliable messaging system that manages templates, handles failures gracefully, scales, and maintains security can be challenging. Following this guide, you’ll learn how to build a template manager and messaging API using API Gateway with JWT authentication for secure access, Amazon SQS for reliable message queuing, AWS Lambda for serverless processing, AWS End User..

Businesses around the world use WhatsApp as a primary channel to connect with customers. It’s familiar, trusted, and effective for everything from booking confirmations to customer support. But most of these conversations are still text-only. For many customers, text is fast and efficient. Yet there are times when typing is inconvenient, slow, or less effective at conveying nuance. In those moments, voice messages can transform the interaction — making it faster, more inclusive, and more human.

Introduction Organizations carry a growing burden of technical debt — aging codebases, outdated runtimes, and legacy frameworks that slow innovation, increase security risk, and inflate maintenance costs. Addressing this debt requires tackling a wide range of code transformation challenges: version upgrades, runtime migrations, framework transitions, and language translations, all of which must be repeated across multiple codebases.

Introduction: In this blog, we show you how to implement granular usage tracking and cost allocation for AWS Nitro Enclaves across multiple clients on Amazon Elastic Compute Cloud (EC2) instances. Our solution enables precise resource monitoring in multi-tenant environments and provides detailed billing reports per client. This empowers organizations to efficiently manage the billing for Nitro Enclave resources in complex, multi-client scenarios. What is an AWS Nitro Enclave?

If you’re using the Apache HttpClient 4.5.x with the AWS SDK for Java 2.x , you may have encountered dependency alerts for Jakarta Commons Logging (JCL) dependencies, concerns about long-term maintenance support, or compatibility issues with Java 21’s virtual threads. The new Apache 5 HTTP client solves these problems. In this post, you’ll learn how to add the Apache 5 HTTP client to your project, configure it for your needs, and migrate from the 4.5.x version.

Modern generative AI applications require deployment closer to where data is generated and business decisions are made, but this creates new infrastructure challenges. Organizations in manufacturing, healthcare, finance, and telecommunications need to deliver low-latency, energy-efficient AI workloads at the edge while maintaining data locality and regulatory compliance. However, managing Kubernetes on-premises adds operational complexity that can slow down innovation.

Today, we are announcing the availability of AWS Console for SAP Applications, a new centralized management experience that provides SAP customers an application-centric view to register and manage their SAP HANA-based applications running on AWS. The console offers a unified dashboard to view your registered SAP applications, understand your landing zone setup, and gain visibility into the resources consumed by your SAP workloads.

Finding the right data assets in large enterprise catalogs can be challenging, especially when thousands of datasets are cataloged with organization-specific metadata. Amazon SageMaker Unified Studio now supports custom metadata search filters. You can filter catalog assets using your own metadata form fields like therapeutic area, data sensitivity, or geographic region rather than relying only on free-text search.

In this post, we walk you through how to identify and analyze the newly separated intra-region VPC Peering charges using Amazon Web Services (AWS) Billing and Cost Management console tools including AWS Cost Explorer , AWS Data Exports (Standard data export and Legacy AWS Cost and Usage Reports (CUR) export) and AWS Bills , showing you the differences between the old and new billing representations.

ISO 20022 is reshaping how financial institutions and corporate organizations process high-value wire payments globally. This global standard provides richer, more structured, end-to-end payment data, giving organizations a clear path to modernize payment infrastructure and improve transaction visibility. IBM Payments Center – Wire Services on AWS helps you take advantage of this transition with a SaaS solution that automates payment workflows, simplifies ISO 20022 message transformation, and...

High-performance applications such as CPU-intensive processing, memory-heavy analytics, and steady-state data pipelines often require more predictable compute resources than standard AWS Lambda configurations provide. AWS Lambda Managed Instances (LMI) addresses this by letting you run Lambda functions on selected Amazon EC2 instance types while preserving the Lambda programming model.

This post shows you how to accelerate your AI inference workloads by up to 76% using Intel Advanced Matrix Extensions (AMX) – an accelerator that uses specialized hardware and instructions to perform matrix operations directly on processor cores – on Amazon Elastic Compute Cloud (Amazon EC2) 8th generation instances. You’ll learn when CPU-based inference is cost-effective, how to enable AMX with minimal code changes, and which configurations deliver optimal performance for your models.

Amazon MSK Serverless is a cluster type for Amazon MSK that you can use to run Apache Kafka without having to manage and scale cluster capacity. It automatically provisions and scales capacity while managing the partitions in your topics, so you can stream data without thinking about right-sizing or scaling clusters. MSK Serverless is fully compatible with Apache Kafka, so you can use any compatible client applications to produce and consume data.

As data analytics workloads scale, organizations face two challenges. First, they must deliver high-performance analytics at massive scale while maintaining secure access across diverse tools. Second, they must manage high-concurrency workloads while integrating with existing identity management systems. You can address these challenges by using Amazon Redshift Serverless endpoints behind an AWS Network Load Balancer with Microsoft Entra ID federation.

Customers building AI and analytics workloads often need to move data across multiple sources, formats, and integration styles. As organizations increasingly embed real-time and agentic workflows across hybrid environments, teams require robust integration functionality, flexibility, portability, and governance. IBM watsonx.data integration is now available on AWS Marketplace to help customers meet these requirements.

Today, AWS Direct Connect announces support for three new virtual interface (VIF) metrics in Amazon CloudWatch : VirtualInterfaceBgpStatus , VirtualInterfaceBgpPrefixesAccepted , and VirtualInterfaceBgpPrefixesAdvertised . These metrics give you visibility into Border Gateway Protocol (BGP) session health and prefix count directly from CloudWatch, without the need to manually poll APIs or check the console.

In this post, we review how LexisNexis Risk Solutions modernized their Amazon Web Services (AWS) network by migrating from a legacy Transit Virtual Private Cloud (Transit VPC) architecture to a highly resilient global backbone network built with AWS Cloud WAN . We also dive deep into how AWS Cloud WAN helped LexisNexis Risk Solutions achieve streamlined network management and introduced traffic inspection capabilities while reducing cost and improving performance.

AWS and cloud computing changed how businesses operate. Organizations now store, process, and manage data in the cloud at scale while treating compute resources as a utility. Cloud architecture requires weighing trade-offs to find solutions that fit your specific requirements. Failing to follow best practices in cloud architecture design can lead to undesirable results and hidden costs, such as the cost of security and availability events.

AWS, Anthropic, Google, Microsoft, and OpenAI today announced a joint $12.5 million investment with the Linux Foundation to help open source projects address a surge in AI-enhanced and AI-generated security vulnerability reports. Both the Alpha Omega initiative and the Open Source Security Foundation (OpenSSF) will receive funding through the Linux Foundation grants.

With current noisy quantum hardware, every quantum circuit evaluation is precious. Variational quantum algorithms like the Variational Quantum Eigensolver (VQE) require repeated estimation of expectation values of quantum observables—each requiring multiple shots , or measurements of quantum states. On today’s hardware, these shots represent a finite resource that needs to be managed carefully. Efficient shot allocation therefore improves algorithm performance and reduces quantum runtime.

To get the most out of today’s noisy quantum computers, quantum computational experiments commonly utilize quantum error mitigation (QEM) techniques. These methods include discarding known noisy results (post selection), modifying underlying pulse sequences, amplifying noise within a quantum circuit, and many more. QEM does not offer fault tolerant or error-free means of computation but can generally be used to improve the quality of a result, for example increasing signal from noise via...

This post is co-authored with Ivan Amemoutou, DevOps and Cloud Lead at Generali Malaysia (“Generali”). The insurance industry’s shift to cloud computing has accelerated the development and expansion of digital services. To support this transformation, insurers are modernizing their technology stack with solutions that enhance scalability, portability, and operational efficiency.

Welcome to March’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 January course update? Check it out here . This month, we launched multiple new digital training products on AWS Skill Builder including two new microcredentials topics, three new AWS Builder Labs, one new AWS Builder Labs Learning Plan, as well as localized exam prep materials in support of the AWS...

Artificial intelligence and machine learning skills are a must-have for developers and engineers. To help developers and engineers gain skills employers are seeking, we’re excited to announce new AWS and JetBrains Skill Paths : Build and Deploy Custom LLMs with Python and AWS and From ML to GenAI: Building Real-World Apps on AWS . These two Skill Paths arm you with practical AI and ML skills. AWS and JetBrains are a good complement in the developer ecosystem.

The security industry stands at an inflection point. In November 2024, the Open Cybersecurity Schema Framework (OCSF) joined the Linux Foundation , cementing its role as a vendor-neutral, open source standard for the global security community. Last summer at Black Hat 2025, we showed you how OCSF was powering AI-driven security operations. Then in December 2025, member states of the International Telecommunication Union (ITU), the United Nations’ (UN) body for information and communication...

The AWS AI & ML Scholars program powered by AWS Skill Builder expands access to foundational AI education and upskilling for students and aspiring technologists who may have had limited access to this kind of training. Delivered in collaboration with AWS Training Partner Udacity, AWS AI & ML Scholars aims to provide 100,000 learners globally with generative AI skills and hands-on experience with AWS tools like PartyRock, Amazon Quick, and Amazon Bedrock.

The advantage of moving quickly Traditional product development cycles spanning 6 to 18 months prevent businesses from capitalizing on emerging trends, shifting customer preferences, and real-time feedback. And that can result in missed revenue opportunities, eroding customer loyalty, and slower competitive response. In a market where speed drives sales and retention, the inability to iterate quickly means falling behind on the innovations that keep customers coming back.

Introduction What if your customers could shop your entire catalog, get personalized recommendations, and complete a purchase—all without ever leaving a conversation? Well, that is exactly what ChatGPT Apps make possible, and forward-thinking retailers are racing to deploy them. In this post, we’ll unpack what ChatGPT Apps are, why they’ve become a strategic priority for retailers, and how they fit into a broader agentic commerce vision.

If you’re architecting cloud systems for AI development on AWS, you’ve likely discovered that traditional architectures create friction for AI agents. Many cloud teams are experimenting with AI coding assistants but quickly discover a gap between what these tools promise and what their architectures allow. When an AI agent generates code, it often takes minutes—or hours—before you can validate whether that change actually works.

Transforming the Online Car Configuration Experience BMW Group’s Emotional Virtual Experience (EVE) began as an innovative dealership tool that enables immersive 3D real-time streaming consultations in dealers’ showrooms. This solution allowed them to showcase vehicles in every possible configuration as stunning 3D rendering, helping customers envision their future BMW vehicle with unprecedented fidelity. However, the automotive industry’s digital transformation demanded more from BMW Group.

This post is cowritten with Yuri Brigance, and Usman M. Khan from Aigen. Aigen builds autonomous robots designed to help farmers remove herbicide-resistant weeds and improve crop yield through AI-driven technology. These robots operate without chemicals, using renewable energy, and provide real-time, field-level data to enhance decision-making. Using advanced computer vision AI, Aigen’s robots autonomously identify and remove weeds without harming crops, giving farmers an eco-friendly,...

Amazon Devices engineers needed AI assistance directly in their design tools to accelerate hardware development. But AI agents running locally on engineering workstations had no way to authenticate with AWS services without distributing credentials, creating unacceptable security risks. The Design Technologies team solved this challenge by implementing browser-based authentication that establishes user identity and enables Amazon Bedrock access with zero credentials stored locally.

AI for Disaster Response in Asia: OpenAI Workshop with Gates Foundation...

Learn how STADLER uses ChatGPT to transform knowledge work, saving time and accelerating productivity across 650 employees.

Learn how OpenAI’s Model Spec serves as a public framework for model behavior, balancing safety, user freedom, and accountability as AI systems advance.

OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.

OpenAI releases prompt-based teen safety policies for developers using gpt-oss-safeguard, helping moderate age-specific risks in AI systems.

The OpenAI Foundation announces plans to invest at least $1 billion in curing diseases, economic opportunity, AI resilience, and community programs.

ChatGPT introduces richer, visually immersive shopping powered by the Agentic Commerce Protocol, enabling product discovery, side-by-side comparisons, and merchant integration.

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.

How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.

Accelerates Codex growth to power the next generation of Python developer tools...

GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.

OpenAI Japan announces the Japan Teen Safety Blueprint, introducing stronger age protections, parental controls, and well-being safeguards for teens using generative AI.

New research shows Americans send nearly 3 million daily messages to ChatGPT asking about compensation and earnings, helping close the wage information gap.

A deep dive into why Codex Security doesn’t rely on traditional SAST, instead using AI-driven constraint reasoning and validation to find real vulnerabilities with fewer false positives.

How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.

How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state.

Wayfair uses OpenAI models to improve ecommerce support and product catalog accuracy, automating ticket triage and enhancing millions of product attributes at scale.

IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injection attacks.

ChatGPT introduces interactive visual explanations for math and science, helping students explore formulas, variables, and concepts in real time.

OpenAI is acquiring Promptfoo, an AI security platform that helps enterprises identify and remediate vulnerabilities in AI systems during development.

Codex Security is an AI application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence and less noise.

Using OpenAI reasoning models, Descript unlocked automatic localization of large content libraries without losing timing or meaning.

By combining rigorous model evaluation, full-platform use of OpenAI, and agent workflows, Balyasny is reinventing investment research.

Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.

OpenAI introduces CoT-Control and finds reasoning models struggle to control their chains of thought, reinforcing monitorability as an AI safety safeguard.

OpenAI shares new tools, certifications, and measurement resources to help schools and universities close AI capability gaps and expand opportunity.

Practical insights and frameworks to turn AI progress into business advantage...

By focusing on people, not pilots, the Bundesliga club is scaling efficiency, creativity, and knowledge—without losing its football identity.

Five AI value models show how leaders can sequence AI from workforce fluency to process reinvention and build durable business advantage.

OpenAI introduces ChatGPT for Excel and new financial app integrations, powered by GPT-5.4 to accelerate modeling, research, and analysis in regulated environments.

A new preprint extends single-minus amplitudes to gravitons, with GPT-5.2 Pro helping derive and verify nonzero graviton tree amplitudes in quantum gravity.

OpenAI introduces the Learning Outcomes Measurement Suite to assess AI’s impact on student learning across diverse educational environments over time.

Axios COO Allison Murphy explains how the company uses AI to support local reporters, streamline newsroom workflows, and deliver high-impact local journalism at scale.

By Anchal Nigam, Ashish Gite, and Kumar Kasimala. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Anchal Nigam, a Senior Software Engineer at Salesforce, who engineers new capabilities in Prompt Builder that ground enterprise AI prompts with live external data and verifiable citations, enabling prompts to combine enterprise data with real-time external information.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Gloria Tumushabe, Senior Software Engineer on the AI Cloud Infrastructure Team, which built Luminary — a centralized automation platform governing release workflows across AI Cloud and now supporting more than 100 services.

By Suvra shankha Dutta and Vikas Mangla. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Suvra shankha Dutta, Director of CPQ Product Management, who led the creation of Customer Footprint for Deal Agent to provide a unified view of revenue-generating products and contracts across multiple Salesforce orgs, replacing a manual process that previously drained 1,000 hours every month.

In our Engineering Energizers Q&A series, we highlight the engineers building the systems that power Salesforce’s most advanced platforms. Today, we spotlight Utkarsh Jain, a senior software engineer at Salesforce, who develops the Connections capability within Agentforce to transform how AI agents deliver information by moving beyond plain text to support richer, interactive experiences that already power more than 4 million sessions.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Scott Chang, Principal Engineer on the AI Infrastructure team, who builds the robust, secure, and resilient core that drives Agentforce 360. Scaling Agentforce across a vast global network of AWS accounts and regions turned model tracking and routing into a complex puzzle.

By Muralidhar Krishnaprasad . Enterprises move quickly to adopt agent-based systems, yet many still assume they need to assemble bespoke stacks on hyperscalers to support serious, non-CRM workloads. Inside Salesforce Engineering, the challenge looked different. Our goal: design Agentforce , Data 360, and the broader platform as the enterprise-standard agent foundation.

In some of the world’s most dangerous industrial environments, including oil refineries, offshore wind platforms, cement plants, and chemical facilities, human access is often limited, risky, or prohibitively expensive. ANYbotics, a Swiss robotics company, has stepped into this space with a vision to shape a safer future for industrial inspection, one where robots operate as autonomous members of the inspection team, running inspection operations integrated into plant maintenance workflows.

MILAN — SAP SE (NYSE: SAP) today announced that Campari Group has successfully gone live with SAP Cloud ERP Private solutions, marking a major milestone in its digital transformation journey. Run core operations with confidence using ready-to-run enterprise resource planning capabilities in the cloud Learn how Milan, Italy-based Campari Group is a global leader in the spirits industry.

WALLDORF & REDWOOD CITY — SAP SE (NYSE: SAP) and Reltio Inc. today announced that SAP has agreed to acquire Reltio, a leading master data management (MDM) software provider, to help customers make their SAP and non-SAP enterprise data AI-ready. Terms of the deal were not disclosed. Amplify the value of AI with your most powerful data Learn how Once closed, the acquisition will strengthen SAP Business Data Cloud (SAP BDC)—integral for SAP’s AI-First and Suite-First strategy—and accelerate the...

SAP is expanding its collaboration with UnternehmerTUM (UTUM), Europe’s leading center for entrepreneurship and innovation based at the Technical University of Munich (TUM). One of the latest outcomes of this collaboration is SafetyGuard, a prototype for automated safety inspections that combines artificial intelligence and robotics to detect workplace hazards and help companies comply with safety standards.

The world’s largest esports organization is turning to Joule to transform how it manages the vast amounts of data generated in competitive gaming. “There’s so much data; I would say in esports, too much data,” said Thom Valks, partnerships manager at Team Liquid, referring to the 1 trillion points of data his company deals with. “How do you figure out what the right questions are to ask? And then how do you get quick answers to those questions? That was the main problem.

WALLDORF — SAP SE (NYSE: SAP) and Haleon, a global consumer health company, today announced Haleon’s decision to adopt SAP Business Suite to enhance the enterprise’s digital infrastructure and advance AI capabilities across its business. SAP Business Suite: Deliver exceptional business value and help your business stay ready for what’s next Learn how This decision will help Haleon operate, scale and serve consumers in new ways by building stronger, more agile foundations for delivering its...

The Würth Group, a subsidiary of Adolf Würth GmbH & Co. KG, is one of the leading players in the development, production, and sale of fastening and assembly materials. Connect across companies to build stronger supply chains and deliver on the customer promise Learn how The company manages an extensive portfolio of more than 125,000 products. Despite its strong market position, digitalizing procurement across diverse customer environments remains a key challenge, particularly in e-procurement,..

With 34 German national soccer league championship wins in its 125-year history, FC Bayern Munich is one of the largest and most successful sports clubs in the world. It has built a massive global audience, with more than 200 million social media followers, up to 75,000 spectators in attendance at every men’s league home match, and a growing fan base for its other teams, including women’s soccer and men’s basketball.

SAP Partner Awards – Regional locally recognize partner success in sales, innovation, technology, services, and solution areas within each region. SAP has restructured the award recognition to provide more meaningful distinction, reflect our partners’ essential contributions, and ensure all award categories align with the Partner Ecosystem Success strategy.

SAP has once again been named a Leader in the 2026 Gartner® Magic Quadrant™ for Integration Platform as a Service (iPaaS), our sixth consecutive recognition. We believe this recognition reflects our continued investment in a modern, scalable AI-ready integration platform that meets the needs of organizations operating across increasingly complex hybrid and multicloud landscapes. This graphic was published by Gartner, Inc.

As a global leader in the lifting and securement industry, Kito Crosby manufactures and distributes products like critical lifting and rigging solutions, specialized hardware, cranes, and electric hoists. Headquartered in Richardson, Texas, with facilities worldwide, its mission focuses on safety, innovation, and global impact. With a diverse portfolio of brands—Kito, Crosby, Harrington, Gunnebo Industries, Peerless, and eepos—the company has experienced rapid growth, scaling its business from..

Productivity, typically measured as output per hour worked, is the primary long-term driver of income growth and living standards. Both the U.S. and Europe have experienced slower productivity growth since the mid-2000s compared with earlier decades. Now, however, many economists and policymakers view AI as a potential catalyst for reversing that slowdown.

Every day, companies around the world rely on SAP applications to run the operations that keep their businesses moving. In fact, 84% of global commerce touches an SAP application. Explore the world of enterprise agents with SAP at NVIDIA GTC Learn more Over decades, our customers have built powerful digital foundations on SAP to run end-to-end business processes across their enterprises—often extending and customizing these systems to support their unique business needs.

NEW ORLEANS — SAP SE (NYSE: SAP) today announced new AI-enabled capabilities, travel and expense management enhancements, and new and expanded partnerships at SAP Concur Fusion 2026, the flagship conference for SAP Concur solutions users and experts. Tap AI-powered expense, travel and invoice solutions that unify your data, simplify work and drive your business forward Learn more SAP is expanding the Joule solution across SAP Concur solutions and introducing new automation capabilities: A new...

In October 2025, at SAP Connect , we introduced next‑gen SAP Ariba and outlined a major shift in how procurement technology must evolve to meet today’s realities. Today, that vision becomes real. I’m pleased to announce that next‑gen SAP Ariba is now available, marking the next phase in SAP’s journey to reimagine source‑to‑pay for the age of AI. This milestone represents the transition from announcement to execution, bringing a fundamentally rebuilt platform into customers’ hands.

The SAP Partner Awards showcase top-performing partners that have excelled in helping customers bring out their best. SAP Partner Awards: SAP technology paired with the power of our SAP partner ecosystem Learn more SAP has restructured the award recognition to provide more meaningful distinction, reflect our partners’ essential contributions, and ensure all award categories align to the Partner Ecosystem Success strategy.

Built on SAP Business Technology Platform ( SAP BTP ), SAP Distributed Energy Resources (SAP DER) can provide a trusted data backbone that helps unify technical assets with commercial agreements, transforming millions of prosumer devices into coordinated services. From energy sharing and dynamic pricing to cloud-native and interoperable flexibility markets, the solution can connect meters, markets, and customers to enable business models such as energy communities, virtual power plants, and...

Long before a customer becomes your customer, their engagement with your brand begins. Customer experience (CX) starts with early interactions like marketing engagement, product exploration, and initial conversations with sales teams. Deliver results with an intuitive configuration process across every sales channel Learn how These critical pre-purchase moments generate interest and open pathways toward deeper customer relationships.

In the NHL, decisions off the ice are just as critical as the plays on it. From trades to contracts to long-term planning, each front office is responsible for shaping its team’s future while keeping pace with a fast-moving, competitive League. Just as in business, success depends on turning data into informed, timely decisions that drive results. Founded in 1917, the National Hockey League (NHL) is comprised of 32 Clubs located across North America.

SAP introduces SAP Cloud ERP Private 2025 FPS01 . Designed to turn complexity into clarity, FPS01 builds on the landmark 2025 release from October, advancing AI innovations, delivering industry-ready data products, and further strengthening the core to help enterprises navigate today’s global operations. A modern foundation for growth at global scale In an era defined by global volatility and ambitious growth targets, businesses require a system that doesn’t just record data but actively...

With the EU Pay Transparency Directive reshaping how organizations disclose and govern pay, transparency is no longer optional—it’s becoming a defining leadership imperative. This International Women’s Day, organizations have an opportunity to turn compliance into trust, equity, and smarter workforce decisions. “When we give, we gain” is this year’s International Women’s Day theme , and in the workplace, giving can take many forms: mentoring, advocacy, visibility, resources, and transparency.

From February 24–26, almost all members of SAP AppHaus Network came together for the annual global meet-up in Walldorf, Germany. For the opening, Andre Bechtold, president, SAP Industries & Experiences, addressed the network partners with a warm welcome and underlined the strategic value of partners for SAP and its global customer base. These partners are front-runners of the human-centered approach to innovation, exploring and designing solutions with and for customers built with latest SAP...

Across industries, HR leaders are tasked with overcoming organizational disconnection in their journey to adopt and demonstrate the business value of AI. People, processes, and systems remain fragmented, leaving HR teams with more tools but less clarity, less trust in their data, and less ability to act with confidence. Hiring sits at the center of this transformation.

The landscape of user interfaces is undergoing a seismic shift. The explosion of consumer AI has reset expectations for business software: Employees now expect their enterprise apps to have the same intuitive, conversational interfaces they use at home. This has led to a “Terminal Renaissance,” a return to text-in, text-out interaction. Capture business-wide AI value with intelligent, connected workflows at scale Learn how For many applications, text works, letting users express intent...

Business transformation is no longer only defined by milestones. It is shaped by continuous progress and by the ability to move the promise of innovation from boardroom imperatives into daily results. Across industries, customers are asking for guidance that is simple, predictable, continuous, and connected to the measurable business outcomes they need.