The Tech Radar - Issue #16 (May 2026)

The agricultural and crop protection supply chain is one of the most intricate networks in the world. It takes up to two years to turn active ingredients into the final products farmers need, and a single change in weather or regulations can disrupt everything. Planners at BASF Agricultural Solutions navigate this reality daily across 180 production sites.

Today we're launching The Small Brief, an initiative bringing together three ad industry icons to champion a local businesses they love. Their mission is to build breakt…

This week, the new, AI-powered Google Finance is launching across Europe, with full local language support. This reimagined experience offers a suite of powerful capabil…

At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced.

As models and harnesses improve, agents are taking on increasingly complex tasks that can run for hours or even days. But as we push agents to do more, this has surfaced a new operational problem: long-running agent workflows are fragile and incredibly hard to manage reliably and efficiently in production. Today, we’re introducing Agent Executor, Google’s open-source runtime standard for agent execution, resumption, and distributed deployment.

We've been busy! Here’s a rundown of the top announcements, launches and demos at I/O 2026.

We’re helping build the state’s next-generation workforce and investing in energy programs.

Google’s mission is to organize the world’s information and make it universally accessible. In high-growth, technically ambitious markets like the Middle East, North Africa, and Türkiye (MENA-T), we fulfill this mission by supporting AI-First startups building the next generation of information-driven services on a global scale. In a region known for its resilience, we want to help founders flourish in any conditions.

Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini Omni, Gemini 3.5 Flash and more.

Organizations are unlocking entirely new ways to use image generation and editing across their industries. To drive next-generation experiences, businesses are embedding AI directly into creative, agentic workflows. But next-gen workflows require enterprise-grade AI you can trust. What’s new: To help customers continue their creative journey securely, we are announcing Nano Banana 2 (Gemini 3.

University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, who are building the future on our platform, there would be no Google Cloud. 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 learn how Urban Outfitters sped up its order management; BASF uses AlphaEvolve algorithms to map global supply chains; the unification strategy.

If you've built a chatbot, you know this conversation: User: "Book a table for two tomorrow at 7pm." Agent: "Okay, for what day?" User: "Tomorrow." Agent: "What time?" A date picker would have ended this in one tap. But until recently, agents had no standard way to render a date picker — or a map, or a multi-select list — inside the chat surface they live in. They could only return text or markdown for generic usage.

Watch 9 videos showing the capabilities of Gemini Omni and Gemini 3.5, announced at Google I/O 2026.

We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.

Welcome to the second Cloud CISO Perspectives for May 2026. Today, Usman Chaudhary, Field CISO, Google Public Sector, offers a guide for CISOs protecting government agencies and critical infrastructure on how to get started — and get the most out of — defending with AI. 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', ''), ('href', ''), ('image', None)])]> AI-powered cyber threats have been receiving a lot of attention lately. AI has changed the threat landscape ; cybercriminals are using it to find security cracks faster than cybersecurity teams can manually fix them. Attacks that used to take weeks to carry out can now happen in mere hours or days.

Welcome to the first Cloud CISO Perspectives for May 2026. Today, Vinod D’Souza, director, Office of the CISO, shares highlights from his RSA Conference fireside chat with Anthony Belfiore, chief strategy officer, Wiz. 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 the healthcare and life sciences industries, speed saves lives, but meeting regulatory requirements and other administrative burdens often pumps the brakes for manufacturers of software as a medical device (SaMD). These devices include AI image analysis for cancer detection, diagnostic mobile apps for viewing MRIs, and software that can calculate insulin dosages. Today, the medical device industry stands at an inflection point.

As AI coding agents become deeply embedded in developer workflows, defenders must evolve their definition of malicious files and rethink how to protect against them. Autonomous AI agents operate across integrated development environments (IDEs), editors, terminals, and extension runtimes, and they often have access to local files, command execution, and external services. As a result, the attack surface of the modern developer environments now extends well beyond source code.

At Google, we see firsthand how cyber threats can outpace traditional defense mechanisms — and how agentic threat intelligence can help bridge the gap. We have a vision for agentic defense where autonomous AI agents, powered by Gemini and fed by our unmatched threat visibility, can reason through complex malware and preemptively neutralize threats at scale.

The AI era demands a fundamental shift in security, and that includes identity and access management (IAM). Traditional controls simply aren’t built for autonomous AI agents that interact with sensitive data at machine speed, a reality we address with our new IAM advancements for the agentic enterprise era. Engineered as built-in Google Cloud capabilities to secure the rapidly-expanding world of AI agents, at Google Cloud Next we introduced a new security and governance paradigm for managing...

Managing agents and their actions can quickly grow in complexity and introduce security risks unique to AI. To address these challenges, at Google Cloud Next we announced Agent Gateway to provide simple, secure, and governed connectivity across all user-to-agent, agent-to-agent, and agent-to-tools interactions. As part of Gemini Enterprise Agent Platform , Agent Gateway provides a programmable data plane for your AI agents.

Written by: Takahiro Sugiyama, Peter Revelant, Mathew Potaczek Introduction In late 2025, Mandiant responded to a security incident involving a compromised web server running KnowledgeDeliver . KnowledgeDeliver is a Learning Management System (LMS) developed by Digital Knowledge commonly used in Japan. Mandiant identified a critical vulnerability that allowed unauthenticated Remote Code Execution (RCE).

While Russian-speaking threat actors have historically dominated the phishing-as-a-service (PhaaS) landscape, a rival ecosystem is rapidly growing within the Chinese-language underground. Google Threat Intelligence Group (GTIG) analyzed a dozen current PhaaS offerings in the Chinese underground, all of them mature services and many likely tied intricately to the broader criminal ecosystem in that region.

Written by: Austin Larsen, Tyler McLellan, Genevieve Stark, Dan Ebreo Introduction Google Threat Intelligence Group (GTIG) has continued to track an expansive extortion campaign by UNC6671, a threat actor operating under the "BlackFile" brand, that targets organizations via sophisticated voice phishing (vishing) and single sign-on (SSO) compromise. By leveraging adversary-in-the-middle (AiTM) techniques to bypass traditional perimeter defenses and multi-factor authentication (MFA), UNC6671...

Executive Summary Since our February 2026 report on AI-related threat activity, Google Threat Intelligence Group (GTIG) has continued to track a maturing transition from nascent AI-enabled operations to the industrial-scale application of generative models within adversarial workflows. This report, based on insights derived from Mandiant incident response engagements, Gemini, and GTIG’s proactive research, highlights the dual nature of the current threat environment where AI serves as both a...

Announcing new voice capabilities in Gmail, Docs and Keep, a new design tool called Google Pics and updates to AI Inbox.

The way we work has fundamentally changed. From automated agents to sophisticated AI services, Generative AI (GenAI) has become a daily tool for a vast majority of employees. But with this rapid adoption comes a new, critical challenge for IT leaders: the need to protect corporate information in an era where the browser acts as the priority workspace and data often traverses AI-driven workflows.

At the Android Show yesterday, we introduced Googlebooks: a new category of premium laptops built with Gemini’s helpfulness at the core. Designed for Gemini Intelligence, Googlebooks will give personalized, proactive support across their workflows, access to powerful agentic capabilities, and seamless compatibility across their devices. For over 15 years, Chromebooks have given organizations a secure and reliable collection of devices helping schools and businesses all over the globe.

The healthcare landscape is undergoing a massive transformation. As electronic health records (EHRs) and critical applications move to the web, the browser has become the new frontline for patient care and data security. Healthcare organizations need a solution that supplies clinicians with fast, familiar access to the tools they need, while providing advanced layers of protection for sensitive patient data. Enter Chrome Enterprise Premium.

See and hear your colleagues in true-to-life size and sound, making hybrid meetings feel more inclusive and connected.

The latest from Google I/O: See how we’re helping you get more done with Gemini.

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

In the era of AI agents, the distance between a big idea and a working application has never been shorter. As we lean more heavily on agents to help us build applications, a critical question remains: can your database infrastructure keep up? With its virtually limitless scalability and high availability, Firestore , Google Cloud’s fully managed document database, is a great fit for emerging agentic applications.

Orchestration is no longer just about moving data; it is about governing enterprise intelligence. To reflect our deep commitment to and embrace of open-source software, we shared earlier that Cloud Composer is now officially Managed Service for Apache Airflow . We announced a massive leap forward in our orchestration capabilities, fundamentally reimagining how data teams operate in the AI era.

In the high-stakes world of digital infrastructure, speed isn't just a metric — it’s currency. At Google Cloud Next ‘26 we announced the Bigtable in-memory tier , a breakthrough for our fully managed cloud database service that delivers: Sub-millisecond read latency for time-sensitive data ~10x higher point read throughput per dollar , dramatically reducing TCO Hotspot resistance , supporting up to 120,000 queries per second on a single row without breaking a sweat.

In today's hyper-connected market, an enterprise's most valuable asset — mission-critical data — often remains trapped in legacy silos. For years, leadership teams have navigated a data pipeline dilemma, forced into a cycle of complex data movement that relies on slow, manual extraction processes. This fragmentation strips away essential business context, increases technical debt, and creates operational blindness.

Databases have introduced new AI-powered SQL functions which take natural language instructions as input and are evaluated using LLMs. They leverage the power of LLMs to answer new kinds of queries: Which product reviews are negative about durability? Which customer support tickets have been resolved by providing a workaround? These new AI functions push the boundaries of what is possible in a SQL query engine by bringing the semantic understanding of LLMs to your data, thus enabling previously.

AI is massively accelerating the speed at which developers create code. This velocity is shifting the bottleneck from creation to operations, requiring SREs, DevOps, and platform engineers to take that code into production at the necessary speed and scale — all while ensuring it adheres to critical compliance, security, and governance requirements. To solve this challenge, we announced significant new capabilities and innovations across our portfolio at Google Cloud Next ‘26, including...

Accessing enterprise data is shifting from static reports to dynamic use by autonomous systems. To keep up, organizations must route fragmented data from SaaS, IoT, and legacy sources into secure, scalable endpoints. However, moving to AI-driven exposure requires more than just connecting an LLM to a database, it requires a fundamental architectural shift to manage security, costs, and semantic accuracy.

At Google I/O 2026 , we announced updates to the integration between Google AI Studio and Google Cloud : New users can deploy up to two full-stack applications to the Google Cloud Starter Tier, no billing account required An expanded choice of databases: Firestore for non-relational data, and Cloud SQL as a new relational database option Tight integration with Google Workspace tools like Sheets, Calendar, and Gmail using Firebase Auth as the single user login flow This is an update to the...

Many development teams are familiar with the hesitation that comes right before pushing a new feature live. As AI helps developers write code faster, the gap between rapid code generation and safe production deployment continues to grow. Feature flags offer a practical way to manage this risk by separating the act of deploying code from the act of releasing a feature to users.

Over the last 25 years of building Google’s global network, we’ve navigated major architectural eras — from the Internet, to streaming, and the cloud. Today, we are squarely in the midst of a fourth: the AI era. The applications in the AI era are fundamentally different from the consumer and enterprise applications of the previous eras and impose a set of novel and demanding requirements — on compute resources, of course, but also on the network.

Google created MapReduce more than 20 years ago to solve the scaling problems in data processing that the then young company was running into. The AI era that we are in now demands efficient, large-scale data processing for everything from training frontier models like Gemini by Google DeepMind to powering fully autonomous vehicles like Waymo. Many aspects of machine learning, including data ingestion, transformation, and feature extraction, rely heavily on processing massive datasets.

Since its inception over 20 years ago, Google has used Site Reliability Engineering (SRE) to keep services like Search, Gmail, Maps, YouTube and Google Cloud reliable and highly available, adhering to the principles and practices of the reliability-first mindset. Recently though, the emergence of AI has driven multiple step-changes in system complexity.

Managing planned maintenance is a critical part of running a reliable business. But as your cloud footprint grows into hundreds or even thousands of projects, keeping track of every individual update can feel like a full-time job. For many platform teams, the reality is a disjointed experience: jumping between dashboards to figure out which maintenance event affects which business service.

Many organizations’ single source of truth is data that resides in BigQuery, Google’s governed, secure and petabyte-scale data platform. However, the "last mile" of ad-hoc analysis, modeling, and reporting often happens where business users are most comfortable: Google Sheets. Bridging this gap usually involves exporting data as CSVs. But this is inefficient, creating data silos, version control problems, and security and governance risks.

AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service designed for the most demanding enterprise workloads. It combines the best of PostgreSQL with the power of Google, delivering exceptional performance, scalability, and availability. We are continuously innovating to make AlloyDB even more resilient, and today, we're excited to announce a significant upgrade to our High Availability (HA) architecture: Hot Standby .

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Today, we’re announcing the next generation of AWS Resilience Hub with a significantly expanded experience that brings together a new application model, dependency discovery assessment, generative AI-powered failure mode analysis, modular resilience policies, and organization-wide reporting. Organizations running hundreds of applications share a common challenge: availability is a top concern, yet there is no consistent way to set resilience goals, measure progress, or prove compliance across a.

Today, we’re announcing the next generation of Amazon OpenSearch Serverless , a fully managed search and vector engine designed for customers building AI agents. The next generation of OpenSearch Serverless scales from zero to thousands of requests per second and back to zero when idle, offering up to 60% cost savings compared to the cost of OpenSearch Service clusters provisioned for peak capacity.

There’s something genuinely energizing about working with startups — something I’ve been doing intensely for more than two years now. Startups operate at a different frequency: the urgency is real, the constraints are tight, and the stakes are personal. Helping them navigate the challenge of proving their business model requires not just technical depth but a willingness to move fast, challenge assumptions, and make bets on the right architecture before the perfect data exists.

Just a year ago, we launched AWS Transform for .NET , Mainframe and VMware workloads , the first agentic AI service purpose-built for modernizing enterprise applications at scale. At re:Invent 2025, we introduced AWS Transform custom , which enables organizations to modernize and transform code at scale using AWS-managed and custom transformations. You can upgrade language versions, migrate frameworks, optimize performance, and analyze code bases using transformations that are ready to use or...

Today, we’re announcing Amazon Bedrock Advanced Prompt Optimization , a new tool that you can use to optimize your prompts for any model on Amazon Bedrock , while comparing your original prompts to optimized prompts across up to 5 models simultaneously. With the new prompt optimization, you can migrate to a new model or improve performance from your current model. You can test them to make sure they see no regressions on known use cases and also improve on underperforming tasks.

Since 2013, Amazon Redshift has given the full power of a data warehouse in the cloud, at a fraction of the on-premises cost. Every architectural generation—from dense compute to Amazon RA3 instances , from provisioned to Amazon Redshift Serverless —has made each query cheaper, faster, and more efficient than the last. For over a decade, as data volumes have grown and analytics requirements have evolved, organizations increasingly leverage both data warehouse tables for structured,...

My most exciting news of last week: Amazon Bedrock AgentCore previewed the first managed payment capabilities enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, it removes the undifferentiated heavy lifting of building customized systems for billing, credential management, and compliance.

I have been building with AI agents and MCP tools for a while now, and one question kept coming up: how do you give an agent real, authenticated access to AWS without handing it the keys to the kingdom? Today, there is an answer. I’m happy to announce the general availability of the AWS MCP Server , a managed remote Model Context Protocol (MCP) server that gives AI agents and coding assistants secure, authenticated access to all AWS services through a small, fixed set of tools.

Enterprises face a significant challenge when deploying AI agents: the desktop and legacy applications that power most business workflows are simply inaccessible to modern AI systems. According to a 2024 Gartner report , 75% of organizations run legacy applications that lack modern APIs, and 71% of Fortune 500 companies operate critical processes on mainframe systems without adequate programmatic access.

Last week, I took some time off in York, England, often described as the most haunted city in the country. I wandered through the ruins of abbeys that have stood for nearly a thousand years, walked along medieval walls, and spent an evening on a ghost tour hearing stories passed down through centuries. There’s something grounding about standing in a place that has witnessed so much history.

AWS Network Firewall now supports native attachment to AWS Transit Gateway . Customers commonly use Transit Gateway to route traffic from Amazon Virtual Private Cloud (Amazon VPC) networks to a centralized inspection VPC (a VPC dedicated to hosting firewall endpoints for traffic inspection) where their network firewall endpoints are deployed. This centralized deployment model reduces the need to have Network Firewall endpoints in each VPC, optimizing costs and providing a centralized point of...

Network administrators face a persistent challenge: maintaining domain blocklists and allowlists that keep pace with the internet. New websites and services emerge daily, and keeping these lists current requires constant manual updates that leave gaps in coverage. This challenge intensifies when managing access to rapidly evolving categories like AI services, where new tools launch on a regular basis.

May 26, 2026 : This post was originally published in July 2022. It has been updated to reflect current engagement options, new threat intelligence resources such as the Threat Technique Catalog for AWS (TTC), additional open-source tools, and the distinction between AWS CIRT support and the AWS Security Incident Response managed service. Welcome back, or welcome for the first time. Either way, we’re glad you’re here.

There have been multiple notable supply chain attacks using the npm Registry since September: Shai-Hulud, Chalk/Debug, one abusing tea.xyz tokens, and recently axios. Thanks to community efforts involving the Amazon Inspector team, the Open Source Security Foundation, and others, the affected packages were quickly flagged, which reduced the impact of these incidents.

We’re excited to announce that Amazon Web Services (AWS) has completed the S&P Global Know Your Third Party (KY3P) assessment of its security posture. This assessment demonstrates our continued commitment to meet the heightened expectations of cloud service providers. Customers can now use the AWS KY3P assessment to reduce their supplier due diligence burden.

Managing identities and access across complex environments has become more critical than ever. AWS Directory Service for Managed Microsoft Active Directory , also known as AWS Managed Microsoft AD, has added new capabilities to manage users and groups . Now, you can perform create, read, update, and delete (CRUD) operations on users and groups directly through AWS Command Line Interface (AWS CLI) , APIs , and the AWS Management Console.

Agents have agency: they adapt and find multiple ways to solve problems. This autonomy creates a fundamental security challenge: the large language model (LLM) at the heart of the agent is non-deterministic, and its decisions can’t be predicted or guaranteed in advance. It can hallucinate harmful actions with complete confidence. It’s vulnerable to prompt injection attacks, where adversaries inject malicious commands through tool responses or user inputs.

Our largest security services customers started the same way every customer does – with a click. They enabled Amazon GuardDuty, Amazon Inspector, AWS WAF, and AWS Security Hub, experienced the benefits in real time, and evaluated with transparent pay-as-you-go pricing. No RFP. No six-month evaluation. No multi-year commitment up front. Our field teams played a critical role in that growth, not by selling the first click, but by building the trusted relationships that turned early adoption into..

The AWS Customer Incident Response Team works with customers to help them recover from active security incidents. As part of this work, the team often uncovers new or trending tactics used by various threat actors that take advantage of specific customer configurations and designs . Understanding these tactics can help inform your architecture decisions, improve your response plans, and detect these situations if they occur in your environment.

Organizations often struggle to enforce security and compliance requirements consistently across their cloud infrastructure. In one environment, a workload might be deployed in an AWS Region that was never approved for that class of data. In another, a security group might allow broader access than intended. Required tags might be missing. Encryption might be assumed but not configured. These gaps create risk, increase review effort, and make audits harder than they need to be.

May 26, 2026 : We’ve updated this post to reflect recommended core services. TL;DR for busy executives The AWS AI Security Framework helps security leaders move fast and stay secure with AI. Security compounds from day 1 as workloads evolve from prototype to production to scale. Assess first. Request a no-cost SHIP engagement to baseline your posture and build a prioritized roadmap. Phase 1 – Foundational (zero to prototype). Extend existing controls to AI.

Managing a fleet of virtual desktops means staying ahead of performance issues before they become help desk tickets. Whether you are running Amazon WorkSpaces personal or Amazon WorkSpaces applications , your administrators need clear, actionable visibility into how those environments are performing and how users are connecting. Building Amazon CloudWatch dashboards from scratch is straightforward, but doing it consistently across AWS accounts and Regions takes time.

Automotive and Manufacturing (A&M) teams are rethinking how engineering environments are built. Global design teams, GPU-heavy workloads, and strict IP controls demand more than traditional desktops or legacy VDI platforms provide. Computer Aided Design (CAD), Computer Aided Engineering (CAE), visualization, simulation, and AI-assisted design workflows are driving higher GPU requirements. Traditional on-premises workstations and static VDI pools cannot keep pace.

1. Introduction When you manage a contact center schedule, you face a recurring challenge: fitting non-phone activities (coaching sessions, team meetings, training blocks, and one-on-one reviews) into agent schedules without degrading service levels. These activities support agent development, compliance, and operational goals, but every minute an agent spends in a coaching session is a minute they are unavailable to handle customer contacts.

Maintaining compliant calling operations to China (country code +86) presents significant challenges for global businesses as telecommunications regulations continue to evolve. If your organization relies on Amazon Connect Customer for customer communications to Chinese destinations, understanding and implementing compliance best practices helps you avoid service disruptions and protect your customer relationships.

Introduction When you publish a contact center schedule, you assume the people it affects will see it. In practice, that assumption creates operational risk. Agents miss shifts, arrive late to training sessions, or create unplanned coverage gaps because a schedule change was communicated through a bulk email or a channel post that never surfaced in their workflow.

Learn how Berlin-based healthcare scale-up ETERNO is building a scalable, AI-driven customer experience to serve thousands of patients daily across its growing network of outpatient care providers and doctors. Target metrics > 80% of patient inquiries successfully resolved by AI agents 24/7 availability for appointment booking and rescheduling reducing up to 50% workload of one employee per practice increasing inclusivity through multilingual capabilities Overview Across Europe, patients...

Capita is a leading provider of customer experience services for UK public sector organizations and the UK’s first AI enabled Business Process Outsourcer (BPO). Every year, Capita helps a large local council support contacts from 1.6 million residents seeking support for essential services, such as highway maintenance to social care and waste management.

Running large language model (LLM) inference on AWS Inferentia and AWS Trainium chips requires an operator stack that integrates with Red Hat OpenShift . In a previous post , we introduced the AWS Neuron Operator for OpenShift. Since then, the operator has matured through continued collaboration between Red Hat and the AWS Neuron service team. It now provides a stable v1.x release, supports Neuron software development kit (SDK) 2.28, and powers Red Hat AI Inference on AWS silicon.

Overview Customers have adopted Red Hat OpenShift Service on AWS (ROSA) due to it being a managed service. This means Red Hat manage OpenShift, ensuring the cluster is available and the customer can focus on what is critical to the business. Though this sounds great it still means the customer is responsible for the application workloads which run on OpenShift. These application workloads can still experience performance degradations, pod failures, or resource constraints.

When you migrate .NET applications from SQL Server to Amazon DynamoDB , your existing pagination patterns need adaptation. .NET applications commonly use page number navigation with Language Integrated Query (LINQ) Skip() and Take() methods, which rely on SQL Server’s OFFSET/FETCH NEXT clauses and indexed ordering to provide consistent navigation experiences.

Amazon Linux 2 (AL2) reaches end of standard support on June 30, 2026. All AL2-based AWS Storage Gateway appliances must be migrated to Amazon Linux 2023 (AL2023) before that date, after which they will no longer receive software updates, security patches, or bug fixes. Storage Gateway continues to expand its hybrid cloud storage capabilities, and some upcoming features require the latest gateway virtual machine (VM).

Authors: Sourav Kundu and Joyson Neville Lewis. In today’s cloud-native landscape, ensuring the integrity and authenticity of your serverless functions is critical for maintaining security and compliance. Organizations face increasing challenges in preventing the execution of tampered or malicious code in their AWS Lambda functions. These challenges intensify as deployment pipelines become more complex and distributed.

Learn how AWS Transform custom can help migrate Excel VBA applications to modern Python code while overcoming context window limitations, preserving functional equivalence, and enabling cloud-native deployment—turning weeks of manual rewriting into hours of AI-guided transformation. Introduction Many organizations maintain dozens of Excel VBA applications built over decades, containing business-critical logic trapped in workbooks—budget planning tools, demand planning, inventory management,...

I. Introduction Engineering teams build internal command-line interface (CLI) tools because repetitive operational tasks such as generating reports, auditing infrastructure, and checking service health are faster and more reliable when automated behind a consistent interface. A well-built CLI replaces ad-hoc scripts with structured commands, standardized error handling, and composable workflows that any team member can run.

Confirmation bias is one of the most common reasons incident investigations take longer than they should. An on-call engineer gets alerted, forms a theory based on initial triage and experience, finds one piece of supporting evidence, and stops looking. The actual root cause — buried in a different service, a different signal, a different time window — goes undiscovered for longer than it should. Modern distributed systems don’t lack telemetry.

Developers are building and shipping applications faster than ever. With tools like v0, you can go from a prompt to a working application in an afternoon, and Vercel’s platform removes much of the operational friction. What these tools don’t remove is the work that begins the moment an application finds real users. Concurrent connections climb and working sets outgrow memory.

Today, we announce the Amazon Aurora MySQL power for Kiro . The power connects Kiro’s AI agent to Aurora MySQL and pairs live database access with curated best-practice guidance. You describe what you need in natural language. The agent generates the API calls, SQL, and configuration for you to review and run. In this post, we walk through how the power guides a production migration from Amazon Relational Database Service (Amazon RDS) for MySQL 8.

Organizations managing thousands of Amazon Elastic Block Store (Amazon EBS) volumes across multiple AWS Regions have a significant cost optimization opportunity: migrating from gp2 to gp3 can deliver up to 20% savings, as highlighted by AWS Cost Optimization Hub . With AWS providing the ModifyVolume API for in-place, zero-downtime conversions, the path to savings is clear.

Audience note: This is the deep-dive technical launch post. For a shorter overview of what changed and why, see the related post on the AWS News Blog . Today, we are announcing a ground-up re-architecture of Amazon OpenSearch Serverless that delivers up to 20 times faster autoscaling, scale to zero, and up to 60% lower cost than provisioning clusters for peak load.

Building resilience within cloud workloads is an important goal for ISVs to prevent application downtime, increase system reliability, and build customer trust. Honeycomb.io is a fast and collaborative observability platform for software developers and engineering teams to understand and troubleshoot their cloud-native applications. Honeycomb gives you the rich context at sub-second query speeds and AI-assisted investigations you need to debug your code at the pace of AI.

The Opportunity Organizations are increasingly looking to build AI agents that are enterprise ready — agents that can securely connect to tools and data sources across their technology landscape, reason over live business data, and take action autonomously. Customers across the globe are feeling this need firsthand. Several customers like Harman International, Fortescue and PLDT are looking to move beyond traditional automation and unlock intelligent decision-making across their enterprise.

Financial analytics at enterprise scale is unforgiving. Queries must return in seconds, not minutes. Thousands of finance professionals need concurrent access during monthly close cycles. And when data volumes grow from hundreds of gigabytes to terabytes, spanning billions of records, the infrastructure underneath must scale without forcing engineers to choose between performance and cost. This is the challenge the Amazon WW Stores FinTech team faced.

Cyber resilience is the ability to recover workloads to a known-good state after an adversary has affected the environment. Prevention works to keep threat actors out and detection works to find them quickly. Cyber resilience focuses on recovery: restoring a trustworthy environment when backups, credentials, or parts of the infrastructure can no longer be assumed to be safe.

In the mining industry, accurate geological analysis is required for improving mine design and development. Traditionally, this involved labor-intensive and time-consuming on-site inspections of drill core samples, often conducted in remote and challenging environments. ALS GeoAnalytics has streamlined this process through its LITHOLENS platform, a machine learning (ML)-powered system that uses deep learning and machine vision to automate core logging.

Synthesia , an enterprise-focused AI video platform, has transformed content creation, helping everyone to create video content without cameras or microphones. To achieve this, Synthesia allows its users to create video avatars that synthesize the likeness and voice of real people. Synthesia achieves this through a series of in-house developed models based on various architectures, including latent diffusion video generation models.

Organizations are increasingly drawn to open-source observability frameworks like OpenTelemetry. They seek to reduce costs associated with third-party licensing and avoid vendor lock-in. Combining OpenTelemetry collectors with Amazon CloudWatch Metric Streams helps enterprises pursue their observability goals while eliminating third-party licensing fees and achieving sub-minute latency for real-time alerting.

Running a large-scale ad-serving infrastructure presents unique challenges when balancing tenant isolation with operational efficiency. Our infrastructure handles millions of requests per second and generates billions of dollars in annual advertising revenue, serving ads across multiple properties and systems. The cellular architecture problem Earlier, we had a cellular architecture where we allocated each AWS account with Application Load Balancer (ALB) and Amazon Elastic Container Service...

Organizations face critical architectural decisions that can impact their operations for years to come. Recently, I had the opportunity to collaborate with a cloud migration advisor on a question that challenges many enterprises during their cloud adoption journey: Is it better to maintain a single organization or implement multiple organizations? This same question was also asked on re:Post .

Today, we’re announcing Trusted Remote Execution (Rex, for short) — an open source scripting runtime where every system operation is authorized by policy. Scripts are written in Rhai , a lightweight language with no built-in system access. The only way to reach the host is through operations Rex explicitly provides, which are authorized against a Cedar policy upon invocation.

Introduction Organizations across urban planning, emergency management, and defense need to model how populations move and behave in spatial environments. Whether simulating an evacuation, modeling resource competition, or analyzing urban migration patterns, understanding human behavior at scale is critical. Traditional agent-based models rely on hardcoded rules that produce predictable, unrealistic behavior. Generative AI changes this equation.

Welcome to May’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 April update? Check it out here . This month, we launched multiple new digital training products on AWS Skill Builder including Lab Maker, a new AI-powered learning experience that generates instant, personalized labs for popular AWS services; new and updated Microcredentials topics, as well as new...

Are you ready to move beyond theoretical business intelligence knowledge and gain the practical skills to deliver AI-powered analytics solutions? Getting from raw data to a business decision faster is the skill employers want most from BI hires today, and it takes more than classroom theory to build. This is where AWS Jam comes in. AWS Jam offers hands-on challenges across many AWS domains.

For learners looking to develop hands-on AWS skills exactly when they need them, AWS Skill Builder now offers Lab Maker , a powerful new AI-powered feature that generates instant, personalized labs for popular AWS services. Simply describe what you want to build in natural language, and Lab Maker generates step-by-step guided instructions overlaid directly in a simulated AWS Management Console, helping you build practical cloud and AI skills at the moment you need them.

In the competitive world of luxury retail, delivering exceptional digital experiences is crucial. According to a study by Portent, a site that loads in 1 second has an e-commerce conversion rate 2.5x higher than a site that loads in 5 seconds. A leading luxury retailer made optimizing content delivery a strategic priority to enhance customer experience and drive business growth.

Wealth management firms face a defining inflection point. A generational wealth transfer is reshaping who they must serve, digital-native clients are raising the bar on personalisation and accessibility, and cost pressures are squeezing the traditional high-touch model. Firms that want to grow, particularly into the underserved affluent segment, cannot simply add headcount.

Introduction Healthcare providers today spend hours on documentation, coding, and administrative tasks that pull them away from patient care. AI is being adopted in healthcare to help reduce administrative burden, improve patient care management, and increase workflow efficiency. Yet, the central concern for healthcare leaders remains: which AI can be trusted in healthcare workflows?

Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.

How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.

OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.

OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems.

Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.

Explore OpenAI’s Frontier Governance Framework and how our AI safety, security, and risk practices align with emerging EU and California regulations.

MUFG uses ChatGPT Enterprise to build an AI-native organization, improve workflows, and deliver new AI-powered financial services at scale.

Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation.

See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.

Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.

Ahead of global elections, we’re helping people access information, supporting cyber defenders, and increasing AI transparency...

OpenAI partners with Grupo Folha and Grupo UOL to bring trusted Brazilian journalism to ChatGPT, expanding access to news with attribution and transparency.

OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.

How Virgin Atlantic used Codex to ship its revamped mobile app on a fixed holiday travel deadline, reaching near-total unit test coverage and zero P1 defects.

AdventHealth is using ChatGPT for Healthcare to streamline workflows, reduce administrative burden, and return more time to patient care.

How Ramp engineers use Codex with GPT-5.5 to review code and ship improvements, allowing them to get substantive feedback in minutes instead of hours.

An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics.

OpenAI advances Education for Countries, expanding AI adoption in schools with new partnerships, teacher training, and tools to improve global learning outcomes.

OpenAI for Singapore launches a multi-year AI partnership to expand deployment, build local talent, and support businesses and public services with AI.

OpenAI advances AI content provenance with Content Credentials, SynthID, and a verification tool to help people identify and trust AI-generated media.

OpenAI and Dell partner to bring Codex to hybrid and on-premise environments, helping enterprises deploy AI coding agents securely across data and workflows.

OpenAI and Malta partner to expand AI access, offering ChatGPT Plus and training to help citizens build practical AI skills and use AI responsibly.

Preview a new personal finance experience in ChatGPT for Pro users in the U.S. Securely connect your financial accounts and get AI-powered insights and guidance grounded in your financial context, goals, and priorities.

See how business operations teams can use Codex to create initiative briefs, strategy updates, leadership decision packets, progress updates, and more from real work inputs.

Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark.

See how sales teams can use ChatGPT Codex to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs.

See how data science teams can use Codex to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs.

Sea Limited's CPO explains why the company is deploying Codex across engineering teams to accelerate AI-native software development in Asia.

Use Codex anywhere with the ChatGPT mobile app. Monitor, steer, and approve coding tasks in real time across devices and remote environments.

Learn how new ChatGPT safety updates improve context awareness in sensitive conversations, helping detect risk over time and respond more safely.

Learn how OpenAI built a safe, effective sandbox to enable Codex on Windows with controlled file access and network limits.

OpenAI details its response to the TanStack “Mini Shai-Hulud” supply chain attack, outlines protections taken to secure systems and signing certificates, and explains why macOS users must update OpenAI apps by June 12, 2026. Learn what happened, what was affected, and how OpenAI is strengthening defenses against evolving software supply chain threats.

See how finance teams can use Codex to build MBRs, reporting packs, variance bridges, model checks, and planning scenarios from real work inputs.

Parameter Golf brought together 1,000+ participants and 2,000+ submissions to explore AI-assisted machine learning research, coding agents, quantization, and novel model design under strict constraints.

Learn how AutoScout24 Group uses Codex and ChatGPT to speed development cycles, improve code quality, and expand AI adoption.

Teams use Codex with GPT-5.5 to ship production systems and turn research ideas into runnable experiments.

ChatGPT adoption surged in Q1 2026, with fastest growth among users over 35 and more balanced gender usage, signaling broader mainstream AI adoption.

How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale.

Join the OpenAI Campus Network—connect student clubs worldwide, access AI tools, host events, and build an AI-powered campus community.

OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact.

How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption.

OpenAI expands Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber, helping verified defenders accelerate vulnerability research and protect critical infrastructure.

Parloa leverages OpenAI models to power scalable, voice-driven AI customer service agents, enabling enterprises to design, simulate, and deploy reliable, real-time interactions.

Explore new realtime voice models in the OpenAI API that can reason, translate, and transcribe speech, enabling more natural and intelligent voice experiences.

OpenAI begins testing ads in ChatGPT to support free access, with clear labeling, answer independence, strong privacy protections, and user control.

Introducing Trusted Contact in ChatGPT, an optional safety feature that notifies someone you trust if serious self-harm concerns are detected.

Simplex boosts software development with ChatGPT Enterprise and Codex, reducing design, build, and testing time while scaling AI-driven workflows.

Learn how ChatGPT safeguards your privacy, reduces personal data in training, and gives you control over whether your conversations improve AI models.

OpenAI’s B2B Signals research shows how frontier enterprises deepen AI adoption, scale Codex-powered agentic workflows, and build durable competitive advantage.

Uber uses OpenAI to power AI assistants and voice features that help drivers earn smarter and riders book faster across a global real-time marketplace.

Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up.

Meet the ChatGPT Futures Class of 2026—26 student innovators using AI to build, research, and drive real-world impact. Discover how this generation is redefining learning, creativity, and opportunity with ChatGPT.

GPT-5.5 Instant updates ChatGPT’s default model with smarter, more accurate answers, reduced hallucinations, and improved personalization controls.

OpenAI introduces MRC (Multipath Reliable Connection), a new supercomputer networking protocol released via OCP to improve resilience and performance in large-scale AI training clusters.

Explore OpenAI’s European Youth Safety Blueprint and EMEA Youth & Wellbeing Grants, advancing safe, responsible AI for teens, families, and educators.

OpenAI expands ChatGPT ads with a beta self-serve Ads Manager, CPC bidding, and enhanced measurement tools—built to protect privacy and keep conversations separate from ads.

OpenAI and PwC are partnering to help enterprises use AI agents to automate finance workflows, improve forecasting, strengthen controls, and modernize the CFO function.

How OpenAI rebuilt its WebRTC stack to power real-time Voice AI with low latency, global scale, and seamless conversational turn-taking.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Elijah Ben Izzy, Software Engineering Architect at Salesforce. Elijah is building Agent Script — an open source programming language and control plane for Agentforce that makes enterprise AI agents easier to create, simpler to control, and safer to operate across complex business workflows.

While enterprises deploy AI agents at a rapid pace, their governance strategies often remain fragmented. Most organizations enforce identity, data access, and API security in separate silos, which creates dangerous gaps as agents move across systems. Salesforce Engineering addresses this by shifting the focus from securing individual agents to enforcing governance at the platform level.

Modern agents no longer execute within predictable application boundaries. They invoke APIs dynamically, retrieve enterprise context through MCP servers, orchestrate workflows across multiple platforms and interact with structured and unstructured data sources in real time. As these systems become more autonomous, organizations lose visibility into what data influenced an outcome, what systems were touched during execution and whether governance policies were enforced consistently.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Mor Levi, Vice President of Detection, Analysis and Response at Salesforce, who leads the teams responsible for enterprise cyber defense across 80,000 employees and an attack surface spanning infrastructure, platforms, and cloud environments.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Priyanka Saraf, Senior Software Engineer on the Agentforce Foundations team. Priyanka is the engineer behind Bring Your Own Planner (BYOP), a multi-tenant AI agent platform that enables teams to develop, deploy, and scale independent custom reasoning engines on shared infrastructure.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Soumya KV, Senior Director of Software Engineering at Salesforce, as she leads the team building Data 360 Clean Rooms to enable secure organization collaboration on data-driven insights while maintaining strict privacy, consent, and governance controls over underlying datasets.

The European Union took a landmark step with the EU Pay Transparency Directive , requiring employers to make pay practices more transparent and equitable. This represents a significant move toward greater accountability at a time when the gender pay gap across the EU still averages 11%, despite decades of equal pay legislation throughout Europe. Now, the countdown is on.

NOT FOR RELEASE, PUBLICATION, DISTRIBUTION, DIRECTLY OR INDIRECTLY, IN OR INTO THE UNITED STATES, AUSTRALIA, CANADA, JAPAN, SINGAPORE OR ANY OTHER JURISDICTION WHERE IT WOULD BE UNLAWFUL TO DO SO WALLDORF — SAP SE , rated A1 (stable) by Moody’s and A+ (stable) by S&P Global, successfully completed a Eurobond transaction with a total volume of €3.5 billion across four tranches with tenors of two, three, five and seven years.

For any IT leader in local government, the story is a familiar one. The world outside is accelerating, powered by cloud technology and artificial intelligence, while inside the machinery of government often runs on systems built decades ago. The pressure is immense, the resources are tight, and the stakes have never been higher. This was the exact situation facing Stephen Hawkes, director of Information Technology for the City of Charlottesville, Virginia.

This year at SAP Sapphire, SAP introduced Autonomous CX as a core pillar of the Autonomous Enterprise, including the principle that every customer promise must be backed by operational reality. Turn transformation strategies into action through a coordinated set of services and guidance for every stage of your journey Learn how The Advanced Success Plan version for SAP Customer Experience solutions , part of the SAP Services and Support portfolio, is the expert-led engagement model that...

Business leaders are being asked to make faster, better decisions in an environment that is becoming harder to predict. Drive measurable business value and operational excellence with embedded AI, enabled by Joule Learn how Demand shifts quickly, supply networks are more exposed to disruption, cost and margin pressure remain constant, and the decisions that determine whether a company can respond with confidence rarely sit inside one function.

Today, most companies are experimenting with AI. Many of them can point to demos that impressed, pilots that worked, and tools that saved time in narrow tasks. Far fewer can say AI has changed their business across functions, processes, and teams. Autonomous Enterprise: Meet the accelerating demands of business profitably, strategically, and safely...

“Beyond simply selling, we want to offer a great experience to our customers,” says Mauricio Urrea Ospina, chief technology officer at Grupo UMA, which assembles, distributes, and sells Bajaj motorcycles in Colombia and Central America. “Every motorcycle we sell comes with an experience,” he explains. “Customers come back to us for service, for spare parts, and for workshop support, so we truly connect each customer to a different kind of user experience, starting from the moment of purchase.

SAP Signavio has been recognized as a Leader in the newly-created Gartner® Magic Quadrant™ for Process Intelligence Platforms. This recognition adds to the three previous years of SAP Signavio’s acknowledgement as a Leader for Process Mining Platforms. Transform and realize value by connecting strategy to execution Learn more In today’s dynamic business landscape, characterized by the rise of AI, process intelligence is vital for gaining data-driven insights that boost efficiency, support...

The world of logistics is undergoing a profound transformation, driven by volatility, global fragmentation, ongoing supply chain disruptions, and rapid technological change. Streamline your operations with network-centric collaboration Learn how Workforce scarcity impacting global logistics operations, logistics corridors becoming tools in geopolitical conflicts, and continuously rising transportation costs all point to the same reality: Future-proofing logistics is no longer a strategic...

MADRID — SAP SE (NYSE: SAP) today announced that SAP Spain is collaborating with the Madrid City Council on the comprehensive modernization of its internal management through SAP software. SAP Sapphire in 2026: Advancing the Autonomous Enterprise Read the innovation news guide The objective of this collaboration is to digitalize procedures, improve efficiency and deliver better services to municipal employees and citizens in the areas of finance, revenue management and human resources.

MADRID — SAP SE (NYSE: SAP) today announced at the SAP Sapphire event that Ericsson is moving from AI experimentation to enterprise-wide execution by building a unified business data fabric with the SAP Business Data Cloud solution. SAP Sapphire in 2026: Advancing the Autonomous Enterprise Read the innovation news guide The approach enables the company to scale AI use cases across the business, accelerate decision-making and deliver measurable operational impact.

MADRID — SAP SE (NYSE: SAP) today announced that Martur Fompak International, a global leader in automotive seating and interior systems, has successfully deployed an autonomous intralogistics model enabled by the Joule solution and embodied AI capabilities from SAP—marking a significant milestone in the company’s journey toward intelligent, AI-driven manufacturing operations.

The enterprise AI race is quickly becoming a contest over interfaces. Autonomous Enterprise: where people set direction and AI executes, with governance at every step Learn more Every week brings another announcement about smarter copilots, more capable agents, or new orchestration layers designed to automate work across the enterprise. The progress is undeniable. But much of the market is not optimizing for how businesses operate. That distinction is more important than many realize.

Most people wake up expecting the world to run. Lights turn on. Planes land. Hospitals run. Supply chains deliver. What feels seamless on the surface is powered by a vast network of systems, data, and business processes working in sync behind the scenes. SAP Sapphire in 2026: Advancing the Autonomous Enterprise Read the innovation news guide That idea framed a keynote at SAP Sapphire in Orlando , where Thomas Saueressig, chief customer officer and member of the Executive Board of SAP SE, and...

In an evolutionary step toward intelligent, autonomous business decision-making, SAP announced this week that it will make new sustainability AI agents generally available by the end of 2026. SAP Sapphire in 2026: Advancing the Autonomous Enterprise Read the innovation news guide Currently in beta, the agents help organizations deliver measurable results: a greater than 50% reduction in packaging compliance review hours, scenario simulation time cut from a day to 20 minutes, up to 80% reduction.

Thirty years ago, SAP launched its certification program to help professionals prove expertise and advance their careers. SAP Sapphire in 2026: Advancing the Autonomous Enterprise Read the innovation news guide At SAP Sapphire , that mission is being redefined for a fundamentally different environment, one in which every industry faces the same core challenge: success depends not just on what professionals know, but on how effectively they can apply that knowledge alongside AI.