The Tech Radar - Issue #20 (September 2026)

Editor’s note : Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more. This month, we focused on making AI highly practical for your business, including its associated costs. This meant tailoring our models for specialized industries – starting with Financial Services and Legal – and helping you keep your budgets under control. Let’s dive in!

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

The Fairwind Program is a limited access program for governments and trusted partners to use our cyber defense tools.

Search can help runners get race-day ready with registration alerts, tailored training plans, and more.

DevFest 2026 is back and here’s how you can connect with one of the more than 800 global events to build, secure, and scale in the agentic AI era.

Christina Koch sits down with James Manyika, Google’s Senior Vice President of Research, Labs, Technology & Society.

We’ve translated ATLAS’s millions of global data points into an interactive, open-access experience.

Google worked side-by-side with designers Jane Wade and Sergio Hudson to custom-design Google Flow tools to prep for NYFW.

We are expanding our AI & Economy team with world-class academic advisors, fellows, and core internal researchers.

Google Cloud has become the platform of choice for startups building AI. Our uniquely complete stack — including a choice of first- and third-party compute and models ; our platform for building and managing agents; and our products for securing AI workloads — has emerged as the single most important driver of this growth and it is powering AI development for many of the most exciting and innovative startups in the world.

Latin America’s small and medium-sized businesses are the heartbeat of the region's economy — accounting for more than 60% of total employment in the region, according to United Nations estimates. And just like their enterprise peers, everywhere you look, ambitious teams are moving fast to embrace AI. Many have already transitioned from experimenting with generative tools and agentic workflows to using them every day to work smarter, save time, and deliver exceptional customer experiences.

Following our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking last week, we are thrilled to share that Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise . First previewed at Google Cloud Next 2026 , the technology is now officially ready for enterprise production. As enterprise voice AI evolves beyond basic speed and cost metrics, our priority has shifted to making each interaction even higher quality. Gemini 3.

Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service) — you bring prompts and a reward function; we handle the infrastructure and the proprietary model internals.

Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows. Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most effective engineering teams have abandoned the one-size-fits-all model strategy.

Watch the winning trailer from the Future Vision XPRIZE, The Gifted.

Welcome to the first Cloud CISO Perspectives for September 2026. Today, Sandra Joyce shares the latest details on Google’s visibility into how attackers are using AI, and how we’re using AI to stop them. 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.google.

AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built the Mantis harness to automate the discovery, triage, reproduction, and patching of software vulnerabilities. Available to all as an open-source framework, Mantis is part of Google’s internal approach to find and fix vulnerabilities at machine-speed.

As threat actors increasingly use AI to accelerate and develop cyberattacks, enterprise defenders need to rely on both AI and a critical defender’s advantage: Business context that only you possess. Enterprise cyber defense spans identity, network, endpoint, data, cloud, and application layers, often split across a dozen or more products, each with its own context.

A resilient software supply chain is the foundation of modern delivery, and securing your continuous integration and continuous delivery (CI/CD) pipeline is what keeps innovation moving safely. Notable supply chain attacks more than doubled in the first half of 2026 compared to the second half of 2025, according to Wiz’s recent Cloud Threat Highlights report . It’s crucial that your source code not be the weakest link in your private cloud.

AI is accelerating software development at an unprecedented pace. But as code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations. To meet these challenges, the Google AI and Infrastructure team is transforming how we approach security. In this article, we discuss new AI-native agentic methods that we’ve developed that systematically embed high-precision, pervasive vulnerability scanning and patching directly into Google’s...

At Google, we see firsthand how the speed, scale, and sophistication of cyber threats continue to challenge traditional enterprise defenses. Today’s defenders can’t rely on reactive triage or fragmented data feeds; you require high-fidelity intelligence, deep underground visibility, and actionable context to anticipate adversary moves before an attack unfolds.

Google Cloud session management provides flexible options for setting up session controls based on your organization’s security policy needs. To help you improve your security posture and mitigate credential theft and account takeover (ATO) risks, we have rolled out a 16-hour default session length for Google Cloud customers. We’ve now completed extending this security standard to all customers who had not already self-configured session lengths, but today’s cloud environments require even more.

Establishing network-level perimeters with VPC Service Controls (VPC-SC) is a critical step that can help you protect your cloud environment against data exfiltration, compromised accounts, and insider threats. Today, Google Cloud is excited to share new policy intelligence capabilities in VPC-SC that can help drive even greater operational simplicity.

Introduction In late September 2026, Mandiant Consulting and Google Threat Intelligence Group (GTIG) identified active, in-the-wild exploitation of a zero-day vulnerability (CVE-2026-88772) affecting Citrix NetScaler ADC and NetScaler Gateway appliances. We have observed evidence that organizations in North America and Europe in the government, financial services, technology, education, and legal and professional services sectors were likely impacted by this exploitation campaign, which has...

Introduction As an update to the June 2026 post, ShinyHunters Targets Education Sector with Oracle PeopleSoft Exploit , Mandiant and Google Threat Intelligence Group (GTIG) have identified renewed mass exploitation of CVE-2026-35273 by UNC6240 (ShinyHunters), along with expanded global targeting across multiple sectors. In June, the threat actor exploited this vulnerability as a zero-day predominantly against academic institutions.

Introduction The landscape of software supply chain security has undergone a significant shift. Recent campaigns demonstrate that sophisticated threat actors are systematically targeting the engineering lifecycle by compromising trusted security and programming tools. These intrusions reveal three key tactics: Attackers target trusted security scanners, utility libraries, and AI developer tools to exploit the elevated privileges granted to these systems within build pipelines.

Executive Summary Since the release of our May 2026 report detailing adversarial misuse of artificial intelligence (AI), Google Threat Intelligence Group (GTIG) has observed forward leaning adversaries transition from basic prompting to agentic AI workflows and AI-enabled automation. In these operations, human-in-the-loop latency is dramatically reduced, compressing the traditional window for defenders to respond.

Introduction Beginning in 2024 Mandiant investigated a string of compromises affecting Brazilian financial services, retail, and eCommerce organizations. Google Threat Intelligence Group (GTIG) tracks this activity as BREEZE COMET (formerly UNC5669), a financially motivated threat actor specializing in manipulating payment systems and banking software in Brazil to conduct fraudulent transfers. This activity overlaps with operations publicly reported as Plump Spider and SHADOW-AETHER-064 .

Built on our latest Nano Banana model, Google Pics — our image creation and editing tool — is now available.

For years, the workday looked remarkably consistent. Employees logged into devices, opened browsers and toggled across a dozen disconnected applications. Users acted as the bridge between apps, copying from one tab and pasting into another. Now, agentic workflows that are faster and allow employees to be even more productive are on the rise. Employees take the lead in defining outcomes of workflows, and autonomous AI agents can execute multi-step business processes end-to-end.

Get high-quality video production right from your browser. Anyone with a Google account can create videos for free in Google Vids.

We’re expanding Google Beam to five new countries, and partnering with Industrious for an extended network.

Three new voice-activated features will change the way you use Google Workspace products.

Historically, enterprise predictive analytics tasks such as predicting churn, purchase intent, or fraud scoring have meant building custom models using libraries like XGBoost, Random Forest, or Deep Neural Networks (DNNs). While effective, the traditional train-tune-deploy-retrain cycle can be complex and time-consuming. Additionally, the overhead of manual feature engineering, hyperparameter tuning, lengthy and expensive training, and the need for specialized data science skills can lead...

To further empower our customers in their data journey, we are excited to announce the launch of identity columns in BigQuery. This new feature allows users to define columns that automatically generate sequential 64-bit integer values, simplifying the way you manage unique identifiers within your tables. Data engineers are always looking for ways to make data ingestion smoother and more reliable.

For the ninth consecutive year, Gartner® has named Google a Leader in the Gartner Magic Quadrant™ for Strategic Cloud Platform Services , positioned furthest for Completeness of Vision. We believe this recognition reflects our longstanding dedication to helping customers build and scale their most demanding workloads reliably and securely on Google Cloud.

Today, we are announcing the availability of Agent Substrate on Google Kubernetes Engine (GKE). Agent Substrate is an open-source, secure-by-default agent execution runtime engineered to run millions of sandboxes with 10x higher density than standard container runtimes . Purpose-built for the era of autonomous agents, Substrate delivers sub-500ms resume operations at over 500 suspend/resume activations per second with native zero-trust kernel and network isolation.

From running build tools, to data analysis pipelines, to collaborative research, executing data-driven tasks is essential for any enterprise agent. Today, platform teams often stitch together custom workarounds to address agent storage requirements, which could include shuttling state back and forth between agent sandboxes and centralized storage or manually managing local disks and/or self-hosted file systems.

As enterprise organizations scale mission-critical applications, storage I/O and memory access can become severe operational bottlenecks. Whether its Oracle databases, in-memory databases like SAP HANA, or high-throughput SQL Server clusters, EHR systems, and real-time big data analytics, memory-bound databases often force enterprises to over-provision compute cores (vCPUs) to get the RAM capacity and storage bandwidth they need, driving up costly third-party software licensing fees.

Editor’s note: Today we hear from SeaVerse , a gaming startup from SeaArt that is building a platform for playable AI experiences , where users can open lightweight games, character chats, and interactive apps, or create their own experiences from a prompt. To support that creative loop, SeaVerse needed infrastructure that could run dynamic, multi-tenant sandbox workloads with strong isolation, low latency, better observability, and more flexible costs.

Enterprises rely on mission-critical operational databases where performance slowdowns simply aren’t an option. Yet when even a few agents execute dense reasoning loops, the unpredictable surge in queries can easily overwhelm traditional architectures. Today, we’re announcing that AlloyDB delivers PostgreSQL for agents (in preview), enabling real-time data access without compromising your mission-critical systems.

Enterprises are increasingly standardizing on Google Kubernetes Engine (GKE) to run their most critical and AI-driven workloads. From Cloud Storage FUSE for high-throughput data access to custom compute classes (CCC) and advanced GPU slicing, GKE provides the scale and efficiency required for modern applications. However, migrating complex Kubernetes environments from AWS EKS to GKE has traditionally been a daunting, high-friction engineering endeavor.

We’re excited and proud to share that Gartner has recognized Google as a Leader for the fourth year in a row in the 2026 Gartner® Magic Quadrant™ for Container Management , based on its Completeness of Vision and Ability to Execute. Google was positioned highest in Ability to Execute of all vendors evaluated and we believe this validates the success of our mission to deliver a container platform that’s highly optimized for both performance and efficiency.

At Google Cloud, we are committed to delivering the best managed experience backed by open source software. Today, we’re announcing the general availability of Memorystore for Valkey 9.1 , which achieves up to 3x queries per second (QPS) at microsecond latency compared to Memorystore for Redis Cluster. Our support for Valkey dates back to 2024 , when Redis Inc. shifted its licensing away from the permissive open-source BSD license to a dual-license model.

The volume of data being generated today brings both opportunity and massive operational complexity. Most teams that operate at scale don't discover issues until they appear on an invoice — and by the time an unusual access pattern shows up as a line item, it has often been running for weeks. Understanding what happened means exporting inventory, joining it against access logs, and hoping someone still remembers which service account belongs to which job.

Today, we’re excited to announce the general availability of our next-generation Storage-optimized Z4D machine series in Google Compute Engine with both Virtual Machine (VM) and bare-metal instances. We built Z4D for IO-intensive and business-critical workloads that require large local storage capacity and high storage performance, including SQL, NoSQL, KVrocks and vector databases, data analytics and data search.

Whether you are mapping global forest cover, detecting changes in the built environment, or monitoring agricultural yields, writing scripts in Google Earth Engine is a powerful way to develop these insights. This platform is part of Google Earth AI , our collection of geospatial models and datasets designed to help you transform planetary information into actionable intelligence, and we’ve launched a new feature, Ask, that makes accessing that planetary intelligence even easier.

When scaling up agentic reinforcement learning (RL) and evaluation across massive parallel rollouts, frontier AI labs inevitably hit a bottleneck: Expensive GPU clusters sit idle, waiting minutes for CPU sandbox cold-starts, plus thousands of multi-gigabyte SWE-bench -style image pulls and scheduling backlogs. It’s a sandbox infrastructure problem that silently slows down your research and burns your training budget.

Algorithms & Theory...

Generative AI...

Algorithms & Theory...

Education Innovation...

Algorithms & Theory...

Machine Intelligence...

General Science...

General Science...

Climate & Sustainability...

If there’s one theme that defined last week, it’s choice. The frontier models keep arriving, and the interesting question is no longer just “how smart is it?” but “which model fits this step, at this cost, at this latency?” That’s exactly what landed on Amazon Bedrock over the past few days: GPT-6 Sol and GPT-6 Luna from OpenAI, giving you two new points on the intelligence-versus-efficiency curve, and Claude Opus 5.5 from Anthropic, the first of the Claude 5.5 family.

Living in the Netherlands, I spend a fair amount of time on trains, and that is usually where I catch up on what the builder community is writing. Until now, that meant opening a laptop or squinting at a browser tab on my phone. This week I found myself scrolling through trending articles and checking a workshop from the AWS Builder Center mobile app while waiting for a delayed train, and it made those spare twenty minutes very useful.

There’s a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it’s nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon Quick, and a reminder that the developers seeing the biggest gains from AI agents aren’t just using better tools — they’re working differently. Let’s dive in.

Last week, Claude Fable 5.1 became available on AWS . According to Anthropic, Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Claude Fable 5.1 is built for long-running, high-stakes work that runs for hours and spans many applications. It can own more of a software project on its own, handling features across an entire codebase, code review, and performance work over extended sessions.

After talking with enterprise security leaders over the past year, one thing has become clear: the rise of autonomous AI agents is the most significant shift in security posture since the move to cloud. Organizations across every industry are adopting AI agents that authenticate on behalf of users, execute multistep workflows, and make decisions across infrastructure, often without waiting for human approval. Security operations need to keep pace.

September 2, 2026 : This post was republished to include Active Directory migration strategies and automation for permission sets. AWS IAM Identity Center manages user access to Amazon Web Services (AWS) resources, including both AWS accounts and applications . You can use IAM Identity Center to create and manage user identities within the Identity Center identity store or to connect to other identity sources.

AWS CloudTrail logs contain the evidence you need when investigating suspicious activity in your AWS environment, but knowing which fields matter and how to interpret them can mean the difference between surface-level analysis and uncovering the full scope of an incident. This guide walks you through real-world scenarios, showing you how to analyze CloudTrail events to uncover cross-account unauthorized access, cryptocurrency mining operations, and AI service abuse.

We’re pleased to confirm the successful completion of our annual Amazon Web Services (AWS) Outsourced Service Provider’s Audit Report (OSPAR) assessment on July 29, 2026, in line with the OSPAR version 2.0 framework. The Association of Banks in Singapore (ABS) established the Guidelines on Control Objectives and Procedures for Outsourced Service Providers (ABS Guidelines) to set out baseline control criteria for outsourced service providers (OSPs) operating in Singapore.

Security teams are starting to actively use AI for security work, including vulnerability triage, penetration testing, threat modeling, incident response, and code review. The promise is speed, but a security tool that moves fast and raises too many false alarms doesn’t save time. Engineers spend time on false alarms, on-call is noisier, and teams distrust findings that matter. Today, we’re releasing Deception Benchmark, the first benchmark designed to measure that trust problem directly.

Amazon Web Services (AWS) is excited to announce the publication of the AWS Security Reference Architecture (AWS SRA) Payment Card Industry (PCI) Data Security Standard (DSS) Deep Dive . This new guide extends the core AWS SRA to provide prescriptive, architecture-level guidance for organizations that store, process, or transmit cardholder data on AWS.

The principle of least privilege is straightforward to articulate but challenging to maintain at scale. When teams first deploy applications to AWS, they often grant broader permissions than strictly necessary; it’s faster to get things working, and the plan is always to tighten permissions later. But later rarely comes. Permissions accumulate, AWS Identity and Access Management (IAM) principals that once needed broad access for initial deployment retain those permissions long after they’re...

Your consumer identity and access management (CIAM) system is the foundation of your customer experience. It’s how users sign in, access services, and engage with your applications. As your business scales across geographies, ensuring authentication is always available becomes a core architectural requirement. However, building multi-Region authentication has traditionally required complex custom replication solutions that synchronize user data, manage consistency, and handle failover, all...

AWS Security Token Service (AWS STS) has simplified session token size limits, giving you more room for your session policies and session tags. STS has replaced the packed policy size and the overall session token size limits with a single token size limit of 4,096 bytes. STS now reports session token size in API responses, Amazon CloudWatch metrics, and AWS CloudTrail events.

The AWS European Sovereign Cloud is a new, independent cloud for Europe, physically and logically separate from existing AWS Regions and operated within the European Union (EU). It provides the same services, features, and APIs as AWS commercial Regions, but runs as a distinct AWS partition (aws-eusc), with its own control plane, AWS Identity and Access Management (IAM) , billing, console, and service endpoints.

European organizations can run AI workloads on Amazon Web Services (AWS) while keeping data within the European Union (EU) and meeting regulatory requirements. You can now run generative AI workloads on open weight models on Amazon Bedrock in the AWS European Sovereign Cloud . We’re excited to announce the general availability of the first open weight model family, Gemma 4 , on the Amazon Bedrock next-generation inference engine in the AWS European Sovereign Cloud.

Security teams investigating possible AI-related security events need guardrail intervention data alongside their existing security telemetry. When a guardrail identifies or blocks a prompt injection attempt or redacts sensitive data, that intervention carries additional investigative value comparable to a failed sign-in or a network intrusion alert. AWS Bedrock publishes this telemetry to AWS CloudWatch metrics and model invocation logs for operational monitoring.

The Australian Signals Directorate (ASD) has this month issued a clear call to action through its Multi-factor authentication: Switch it on campaign, urging businesses, organisations, and individuals to enable multi-factor authentication (MFA) across their online accounts. At AWS, we strongly support this message. As threat actors continue to target credentials through phishing, credential stuffing, and social engineering, passwords alone are no longer enough.

Read all about the latest AWS security features, compliance updates, and hands-on resources in our monthly digest posts. You’ll find expert blog posts, new service capabilities, code samples, and workshops. AWS Security Blog posts August brought 20 AWS Security Blog posts organized across seven categories. Identity and access management led the month with five posts covering self-service rate limits for Amazon Cognito , a decade of AWS Managed Microsoft AD , a redesigned sign-in experience,...

On Saturday, October 24, 2026, we will conduct an exercise demonstrating that the AWS European Sovereign Cloud can operate without depending on any infrastructure outside of the European Union (EU). For several hours, the AWS European Sovereign Cloud will operate without a connection to the AWS Global Network backbone. The backbone is the private network that moves authorized AWS operational data between AWS locations without using the public internet.

Introduction Amazon Connect Customer workshops are now available with free sandbox environments on AWS Builder Center . This means you can get hands-on experience building agentic AI solution that helps enterprises deliver exceptional customer experiences at every touchpoint with no AWS account required, no credit card needed, and no surprise bills. Whether you’re a developer exploring AI-powered customer experiences, an IT leader evaluating contact center solutions, or a builder curious about..

Contact center modernization presents a dual challenge: organizations need both budget certainty for transformation initiatives and enterprise-scale management capabilities to operate successfully across multiple business units, regions, and lines of business. Three recent AWS Professional Services engagements demonstrate how combining fixed-price delivery models with proven accelerators delivers comprehensive transformation with clearly defined costs, measurable outcomes, and the operational...

Introduction Proactive outbound campaigns can transform how Business Process Outsourcing (BPO) operations handle agent schedule tracking. Managing Contact Centre agent schedules across diverse locations, time zones, and contact center platforms is a persistent challenge. By some estimates, supervisors spend up to 20% of their time tracking schedules and sending shift reminders, while agents struggle with confusion about work hours — leading to attendance issues that affect the entire operation.

1. Introduction When an agent places a call is placed through a quick connect or the number pad using the contact control panel (CCP), the outbound caller ID depends on whether the agent is already on an active call. This blog explains how Amazon Connect Customer selects the caller ID in each scenario and how to present the appropriate caller ID. A valid caller ID matters. Calls that show a recognizable caller ID are answered more often and are trusted by the person receiving them.

Introduction Artificial intelligence (AI) Agents, Prompts, and Guardrails give contact centers extensive control over how generative AI engages customers and supports human agents. Built into the next generation of Amazon Connect Customer , these three features let you select the right large language model (LLM) for each task and configure how it behaves within your contact center. In this post, this post walks through each component and shows you how to customize them.

Your Amazon Connect Customer contact center measures customer satisfaction (CSAT), but CSAT doesn’t predict whether customers will stay. Research suggests high-effort service interactions are the strongest driver of customer disloyalty. Customer Effort Score (CES) measures how easy it was to get an issue resolved — the strongest predictor of loyalty and churn. Most organizations lack a systematic way to measure effort.

The self-service experience your customers deserve — and how to build it Mateo Jackson runs customer experience at AnyCompany Internet, and for two quarters his team has watched the same pattern. A customer explains the problem to a bot that cannot help, repeats it to a second one, then waits on hold for a person who starts from scratch. Effort scores climb, handle times stretch, and the customers who call more than once are the ones who leave. Mateo knows what good looks like.

When AnyCompany’s new IT outsource team misconfigured the email settings on 200 of the company’s multifunction printer/scanners, it had two bad outcomes. First, nobody received their scanned documents in their inboxes. Somewhat predictably, many users rescanned the same documents multiple times before creating support tickets. Second, the misconfiguration along with the multiple failed attempts resulted in a “bounce storm” that was quickly reported by a major email service provider, but...

Open and click tracking have long been foundational email metrics. Multiple data protection authorities, including in EU and Canada, have issued guidance requiring explicit opt-in consent before deploying open tracking pixels or click link wrapping in email. As privacy expectations evolve, a growing number of jurisdictions now require senders to obtain explicit consent before tracking whether a recipient opened an email or clicked a link.

Scheduling email campaigns becomes more complex when you need to send email to millions of recipients at the unique time best suited for each customer. Consider these examples: A flash sale might need to hit inboxes at 9 AM local time across every time zone. A follow-up email (often known as a drip sequence) might need to send a second message exactly 3 days after the first message per subscriber. A re-engagement campaign might target users who haven’t logged in for 30 days.

As Internet of Things (IoT) deployments scale to millions of sensors generating continuous data streams, processing everything in the cloud becomes impractical because of latency, bandwidth cost, and connectivity constraints. Edge AI agents solve this by classifying sensor anomalies locally on resource-constrained devices and escalating only complex reasoning to the cloud.

Deploying Model Context Protocol (MCP) servers with AWS IoT Greengrass brings autonomous network diagnostics to the edge, where connectivity failures happen and expertise is hard to find. Whether supporting large-scale military exercises, managing industrial infrastructure across remote locations, or operating maritime and energy networks, teams depend on senior engineers to diagnose and resolve complex network issues.

Large-scale migrations and modernizations are among the most complex programs an IT organization undertakes. Teams spend weeks building spreadsheets to catalog servers, months writing business cases to justify the move, and years executing migration waves while keeping production systems running. At every stage, the challenge is the same: too much manual work, too many handoffs, and too little visibility into what comes next.

Introduction If you’re managing student transportation for a school district, you’re navigating increasingly diverse student needs alongside rising expectations from families who want real-time visibility into their student’s journey. At the same time, you must deliver consistent, reliable service in a complex operating environment where disruptions can quickly impact safety, service reliability and community trust.

At SAP Sapphire 2026, AWS announced a Strategic Collaboration Agreement (SCA) with SAP to expand the availability of SAP Business AI Platform on AWS worldwide. The 5-year agreement will bring SAP Business AI Platform’s platform services, and SAP Business Data Cloud to 7 new AWS regions. This gives customers in regulated industries and emerging markets the performance, compliance, and innovation capabilities they need to transform their businesses.

Organizations are building AI agents that autonomously write code, query databases, and interact with internal systems on behalf of their teams. These agents handle use cases such as automated code review, data pipeline optimization, and infrastructure troubleshooting. When your AI agent generates a shell command, queries a database, or writes to a file system, that code needs a secure environment to run in.

When you need quick insights from your Amazon Aurora PostgreSQL operational data, traditional analytics approaches force you to build complex extract, transform, and load (ETL) pipelines. These pipelines introduce latency, operational overhead, and data silos, which slow down decision making and increase cost. AWS introduced the support for Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker , providing near real-time data availability for analytics workloads.

Security incident triage usually starts cold. An Amazon CloudWatch alarm fires at 2 a.m. because an AWS Identity and Access Management (IAM) access key just created another access key. The responder spends the first 30 minutes assembling evidence from AWS CloudTrail , Amazon CloudWatch Logs , and Amazon Virtual Private Cloud (Amazon VPC) Flow Logs before deciding whether the alarm matters. The decision itself is quick. Assembling what you need to make it is not.

Today, we’re announcing support for Spark Connect on Amazon EMR on EKS , starting from EMR release 7.14 (Apache Spark 3.5.8) and emr-spark-8.1 (Apache Spark 4.1.1). You can now build, test, and debug Spark applications from your preferred tools, such as VS Code , PyCharm , Jupyter notebooks, Amazon SageMaker Unified Studio . At the same time, your full-scale Spark operations run on Amazon Elastic Kubernetes Service (Amazon EKS) .

If you manage Amazon Elastic Compute Cloud (Amazon EC2) infrastructure at scale, you have likely encountered the following situation. You release an infrastructure change with the correct Region, the correct instance type, and a launch template that has operated reliably for months. The deployment nevertheless comes up on an Amazon Machine Image (AMI) that is several patch cycles out of date, because the AMI ID hardcoded in the template had become stale weeks earlier.

Apache Airflow has become the orchestration backbone for data pipelines across industries. But as those pipelines grow to hundreds of directed acyclic graphs (DAGs) spanning services like AWS Glue , Amazon EMR , Amazon Athena , and Amazon Redshift , debugging a single task failure turns into a significant operational challenge. When a task fails, data engineers sift through logs, cross-reference DAG configurations, and analyze error messages to find the root cause, delaying pipeline service...

If you run regulated workloads, you must control how persisted data is encrypted and who can access it. You need to manage encryption key rotation schedules, restrict decryption to authorized principals, and produce audit evidence that proves encryption controls are operating as designed. AWS Lambda durable functions build resilient, multi-step workflows that survive failures through automatic checkpointing.

MIXI, Inc. operates FamilyAlbum , a service that approximately 30 million registered users rely on to share photos and videos with the people closest to them. As of January 2026, families have shared more than 20 billion photos and videos through the service. They can rediscover a specific precious moment — a baby’s first swim, an unforgettable birthday, a candid smile — and relive the emotion behind the memory. But delivering that experience at scale can be challenging.

If you manage production incidents, you know the drill. A ServiceNow ticket fires at 2 AM. The on-call engineer wakes up, logs in to Dynatrace, pulls traces and metrics across multiple dashboards, cross-references change records, forms a hypothesis, updates the ticket, and posts findings to Slack. The investigation takes one to three hours, and that’s per incident. Multiply that by every incident your team fields in a week, and the pattern becomes the real cost.

On July 28, 2026, MCP published its largest revision since launch , making the protocol core stateless and bringing remote MCP servers into alignment with AWS Well-Architected Framework best practices. The initialize handshake is gone, and so is the Mcp-Session-Id header that clients had to echo on every later request. Every request now carries its own protocol version and client context. A client’s first message can be the actual tool call, and any server instance can respond to it.

Every AI initiative has two kinds of work happening at once. There’s the building: the models, the infrastructure, the code. And there’s the deciding: which investments to fund, how to measure success, what governance to put in place, when to scale and when to stop. AWS has credentialed technical builders for years. Starting September 1, we’re credentialing the professionals who drive AI adoption alongside them.

AWS Certification is updating three exams to reflect how cloud roles have evolved – AWS Certified Machine Learning Engineer – Associate (MLA-C02), AWS Certified Solutions Architect – Professional (SAP-C03), and AWS Certified Developer – Associate (DVA-C03). This blog covers what’s changing, why, and the key dates you need to know. Beta registration now open: AWS Certified Machine Learning Engineer – Associate (MLA-C02) Registration for the beta version of the AWS Certified Machine Learning...

Authors : Hyunsoo Kim, Chloe Kwak Learning level : 300 – Advanced Post type : Best Practices Every inventory manager faces the same question each morning: How much should I order today? The answer depends on dozens of variables (sales history, upcoming promotions, pricing changes, day-of-week seasonality, supplier lead times) and the cost of getting it wrong is asymmetric. Over-order and you carry capital in slow-moving stock.

Picture a compliance analyst staring at a few thousand contracts, amendments, and internal memos, trying to answer one question that sounds straightforward: “Which of our obligations are exposed if this one milestone slips?” The answer isn’t written in any single document. It’s stitched across three — a master agreement that ties a payment to a milestone, an amendment that reschedules that milestone, and a risk memo that traces the knock-on effect down the supply chain.

With the advent of generative AI, organizations across industries face a common challenge: how do you move from the experimentation and ideation phase to production-ready workloads quickly and confidently? Many teams get stuck in a cycle of proofs of concept that never ship. DHI Group , a leader in talent acquisition services, was evaluating options to accelerate its generative AI adoption in an effort to roll out features at an accelerated pace.

Modernizing medical imaging infrastructure is a pressing challenge for multi-hospital networks. Cloud-native PACS (Picture Archiving and Communication System) on AWS can help address the challenge at scale. A hospital chain with multiple facilities generates millions of imaging studies annually: each CT produces 300 to 2,000 DICOM images, MRI generates 500 to 3,000 slices, and digital mammography produces 8 to 12 high-resolution images.

For 20 years, software operations has been built around one question: Is it broken? We’ve gotten very good at answering it. Metrics, logs, and traces. Distributed tracing that can follow a single request through dozens of services. And all of it rests on one sensible assumption: When software fails, the failure eventually shows up as something a machine can measure. Now picture an AI agent handling refund requests. It answers in 600 milliseconds. The error rate is zero.

Financial advisors spend hours each morning assembling client context that includes portfolio reviews, risk assessments, research updates and compliance checks before a single client conversation begins. Multiply that across a full book of business, and the prep work crowds out the advisory work itself. In this post, we show how Morningstar built an AI assistant into its Direct Advisory Suite (DAS) that handles this multi-step preparation through a conversational interface, powered by Amazon...

Quantum computers promise to solve problems beyond the reach of classical machines, but they share a stubborn adversary: noise. Quantum bits (qubits) are exquisitely sensitive to their environment, gates are imperfect, measurements introduce bias, and these errors accumulate as circuits grow. Learning to combat noise is one of the central scientific and engineering challenges standing between today’s devices and practical quantum computing.

Surface Mount Technology (SMT) polarity programming defines how a polarity-sensitive component feeds from tape reel or tray to the pick-and-place machine, designed to help maintain correct orientation on the Printed Circuit Board Assembly (PCBA). Get it right, and boards run clean. Get it wrong by 180°, and downstream systems (Automated Optical Inspection (AOI), X-ray, In-Circuit Test (ICT) functional test) inherits the error silently, because they all reference the same upstream data.

Payment security has traditionally been anchored to on-premises payment Hardware Security Modules (HSMs) that are purpose-built devices that protect cryptographic keys and execute sensitive operations like PIN translation and card security code verification. While effective, this model carries significant operational overhead for hardware procurement, physical security controls, dual-control key ceremonies, firmware management, per-region deployments, and annual PCI compliance assessments...

Your generative AI applications produce different results each time they run. One medical scan shows a single fracture, and another reveals twenty ambiguous regions that require expert review. Static interfaces can’t adapt to this variability. In this post, we show you how to build interfaces that automatically adapt to your AI’s variable outputs. This approach reduces interface development time and removes the need for custom integration code by using the AG-UI protocol, the Strands Agents...

An AI agent is only as trustworthy as the identity controls and data layer behind it. If you’re the one building those, it’s time to validate — and showcase — exactly what you can do. T oday, two new microcredentials focused on agentic AI are now available: AWS Securing Agent Identities Demonstrated and AWS Databases for Agentic AI Demonstrated . Each one validates your hands-on ability to diagnose real issues and implement solutions in a live AWS environment, under time pressure, with no hints.

Roughly half of Americans who need mental health care don’t receive it. One hundred thirty-seven million people live in a designated mental health professional shortage area, and fewer than 30 percent of rural counties have access to a practicing psychiatrist. Training more clinicians won’t close this gap in time to get help to those who need it now. What’s needed is a way to extend the impact of each clinician we have.

Explore more than 20 announcements from OpenAI DevDay 2026, including GPT-6 Astra, ChatGPT, Codex, APIs, security, and new tools for builders.

Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.

Dots by OpenAI are proactive assistants that can keep working across complex projects and everyday tasks. Learn how dots help you stay in control while work moves forward.

OpenAI apologises for incidents involving Australian government websites and outlines stronger safeguards and support to strengthen Australia’s cyber defences.

Our early guidelines for safety cases in frontier AI training cover technical safeguards, operational practices, and investigating misalignment incidents...

OpenAI is expanding the Lenfest AI Collaborative and Fellowship Program with $5 million in funding and up to $5 million in software credits and engineering support.

GPT-6 Astra completed a 50-tab tax workbook twice as fast as GPT-5.6 Sol, and its stronger understanding of user intent gives Basis more confidence in real-world use.

We’re collecting real stories of builders, tinkerers, researchers, and creators who are using Codex to do incredible things. If you want to be a part of the next chapter of the Codex Originals program, tell us more about your story and project below.

With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern fleet management faster.

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

Marking two years of OpenAI Academy and bringing AI skills to even more communities.

OpenAI is extending access to its Daybreak program to the Government of Ukraine to support the cyber defense of civilian infrastructure.

Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.

OpenAI CEO Sam Altman discusses AI safety, human control, and international cooperation in remarks to the United Nations Security Council.

GPT-6 Astra produces more structured, context-aware legal documents, freeing lawyers to focus on strategy.

With GPT‑6 Astra, invideo plans edits with greater precision, improves color correction and grading threefold, and produces 50 custom effects in one day.

MentalHealthBench is an expert-informed benchmark for evaluating helpful and safe AI responses across realistic mental health conversations.

ChatGPT Ads is expanding to Southeast Asia and Taiwan, giving eligible businesses new ways to reach people across more than 60 countries.

Learn how Airbnb is expanding access to GPT-6 Astra and OpenAI frontier models to help engineering teams solve bugs, design systems, and ship faster.

OpenAI and Grab launch GO Forward with AI, a regional programme helping 30,000 partners build practical AI skills across Southeast Asia.

Learn how GPT-6 improves prompt caching with higher cache hit rates, new diagnostics, explicit breakpoints, and controls that reduce latency and costs.

Meet GPT-6 Sol and Luna, two models that bring frontier intelligence to everyday work with different balances of capability and cost.

GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models.

OpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.

OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results.

With GPT-6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster.

OpenAI outlines a path to shared global AI standards, calling for coordinated evaluation, reporting, and governance to improve safety.

Explore new OpenAI Academy learning paths for employees, developers, leaders, educators, and students to build and demonstrate practical AI skills.

Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.

OpenAI introduces the Australian Youth Safety Blueprint, a six-pillar roadmap for safer AI experiences that protect and empower young people.

Cooley built GO Public with ChatGPT Work to bring intelligence to the IPO process, helping lawyers surface issues earlier and focus judgment where it matters most.

OpenAI for Law brings frontier intelligence for law, custom firm workflows, connected legal data sources, and legal-grade controls for confidential client work.

OpenAI and AARP are bringing free, hands-on ChatGPT workshops to 1,000 older adults across 10 U.S. cities to build practical AI skills safely.

Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.

GPT-6 Astra helps Hex’s data agents turn answers into interactive visualizations that employees are proud to share.

Learn how ChatGPT Work and Codex analytics help teams understand AI usage and spend, identify training needs, and connect adoption to business outcomes.

OpenAI shares a framework for tracking, investigating, and disclosing model misalignment, alongside six reports of unexpected or concerning model behavior.

New OpenAI Economic Research shows how workers use AI beyond traditional roles and which new activities become recurring parts of their work.

Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second.

GPT‑6 Astra improves Devin’s ability to test software and show that it works, with the goal of helping engineers review less code and ship more.

César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.

Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.

Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.

OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.

Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.

GPT‑Live‑1 brings natural, full-duplex voice conversations to the API, with stronger instruction following, custom voices, and telephony support.

Chris Lehane argues that stronger AI capabilities require stronger safety evidence, shared standards, and durable policy action while the policy window remains open.

Meet GPT-6 Astra, OpenAI’s most capable model for business, with advanced reasoning, computer use, and stronger writing and design judgment.

Paul Christiano joins the OpenAI Foundation Board and its Safety and Security Committee, bringing experience in AI alignment, safety, and standards.

See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits.

Explore how more capable, affordable AI can expand the work people and businesses can accomplish—and make growth more economical.

ChatGPT Images 2.5 helps turn your ideas, sketches, and reference photos into more personalized, polished images that better reflect your ideas.

OpenAI is expanding support for journalism with tools, training, and partnerships for students, educators, journalists, and news organizations.

We’re sharing an AI-generated solution to the Navier–Stokes Millennium Prize Problem, including a writeup and a formal proof in Lean.

Apply now for OpenAI’s $5 million grant program supporting independent research on how generative AI affects teen development, well-being, and safety.

Engineers at 1Password use Codex to rapidly build new features and internal tools, reaching production-readiness while maintaining rigorous security policies.

OpenAI, AIRPPU and WAN-IFRA launch an AI program to help Ukrainian news organizations strengthen innovation, resilience, and independent journalism.

Jakub Pachocki reflects on increasingly capable AI and the challenge of keeping it aligned. He calls for stronger safeguards and international coordination.

Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.

OpenAI introduces Daybreak for Frontline Defenders. A $1 billion commitment expands access to frontier cyber AI, training, and support for essential services.

Legora used GPT-6 Astra to review 41 documents in minutes, find all four planted errors, and improve performance by nearly 40% in this financial-review workflow.

Using GPT-6 Astra, Playco built three themed game prototypes from one grey box foundation and reported 50% fewer manual fixes than with the previous model.

Introducing GPT-6 Astra, our most intelligent and aligned model yet, with state-of-the-art capabilities across computer use, coding, cybersecurity, and science.

GPT-6 Astra is our most capable broadly deployed model and our first to reach the Critical level of cybersecurity capability under our Preparedness Framework.

ATV Big Air Tour uses ChatGPT Work to speed up marketing, merchandising, and more. It even turned merchandise photos into an inventory website in 15 minutes.

Basis, Clay, and Exa Labs use AI agents to improve onboarding, account management, and developer integrations. See what enterprise leaders can apply.

Astra is the first OpenAI model to meet the Critical cybersecurity capability threshold under the Preparedness Framework, with stronger safeguards for release.

ChatGPT can now connect to trusted healthcare data, helping clinicians securely access patient context, medical research, and more.

See how Gilbert + Tobin combines CEO-led commitment, rigorous governance, and human accountability to scale ChatGPT Enterprise and Codex across the firm.

By Sohini Arya and Manish Kumar Jha. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Sohini Arya, AI Delivery Lead for Marketing Cloud , whose team pursued an audacious goal: build AI agents that could design, verify, test, and repair teams of other agents , even though the orchestrator was prohibited from writing a single agent file.

By Ramya Subramani and Prateek Vats In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Ramya Subramani, Vice President of Engineering. Ramya leads the Cloud Atlas team, which operates the globally distributed identity data store behind a large portion of Salesforce authentication.

By Archana Kumari, Yushu Yao, and Priya Lal. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Archana Kumari, Director of Software Engineering, whose team built Agentforce Health Monitoring (AHM). AHM is designed to help agent builders and operations managers detect production-agent availability problems, investigate incidents, and route alerts through their organizations’ operational workflows.

By Raveendrnathan Loganathan and Tobias Muehlbauer. How do you compile the smallest sufficient body of current, relevant, and authorized evidence for every agent turn but without loading the entire enterprise data estate into every prompt? That is the context problem at the center of enterprise AI. Putting everything into every prompt consumes tokens, increases latency and cost, buries relevant evidence, and exposes sensitive information.

In our Engineering Energizers Q&A series, we explore the engineering minds behind some of Salesforce’s most complex technical challenges. Today, we spotlight Alex Smith, Senior Director of AI Engineering, whose team uses Data 360 data graphs to give Agentforce something every personalized interaction depends on: trusted customer context. Their goal is to turn decades of fragmented information about customer identities, products, SKUs, services, and entitlements into a cohesive data foundation...

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Sneha Singla, a director of software engineering, whose team confronted a brutal engineering contradiction: making one real-time mobile personalization architecture work across four fundamentally different technology stacks without breaking native layouts, corrupting customer identities, exposing unnecessary profile data, or requiring a new app release whenever..

By Sivakumar Shanmugam, Kartik Muktinutalapati, and Palani Ramanathan. Your retrieval-augmented generation (RAG) application passes its benchmarks, reaches production, and begins confidently giving customers the wrong answers. Financial tables lose their headers at page breaks. Coverage matrices become garbled. Retrieval selects an article that appears relevant but belongs to the wrong product. Meanwhile, the clean, text-based benchmarks you trusted continue to report accuracy above 90%.

By Karishma Lalwani, Anand Vardhan, and Sanjeevani Bhardwaj. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Karishma Lalwani, Vice President of Product Management and a Certified Technical Architect at Salesforce, whose team faced a formidable engineering problem: monitoring enterprise orgs handling billions of daily transactions by connecting configuration metadata with constantly changing runtime telemetry.

New York Climate Week has long been known for big announcements, but this year it felt more like a working week: the focus on delivery and implementation, rather than ambition. With more than 1,500 events across the city running alongside the UN General Assembly, the event was hailed as the biggest Climate Week yet . Delegates arrived feeling three pressures that had been building all year: an energy price shock, a summer of climate disasters, and a fast-growing argument about the resources...

At SAP, customer feedback has always been part of how we build our software. Our first products were developed in close collaboration with customers, and that same principle is still true today: we need to listen, understand the context, and turn feedback into product improvements that create real value. The challenge is not whether we receive enough feedback—we receive a lot of it.

Every executive I talk to is navigating the same fundamental challenge: how to execute faster and make smarter decisions while operating in an unpredictable market. Shifted demand, supply chain constraints, and margin pressure are no longer temporary disruptions—they are standard operating conditions. To adapt, businesses are increasingly moving toward the vision of an Autonomous Enterprise.

Together with NVIDIA, SAP is helping shape and strengthen the execution layer for enterprise agentic AI. The new AI-first experience for building agents, apps, and workflows Meet Joule Studio Today, alongside the announcement of NVIDIA Open Agent Safety Platform and the broad availability of NVIDIA OpenShell, we’re deepening our collaboration with NVIDIA to help make enterprise AI agents safer, more governable, and easier to audit by design.

SAP has been positioned in the Leader Category of the 2026 IDC MarketScape for AI-Enabled Direct Spend Vendor Assessment .* Optimize procurement and invoicing processes through supplier collaboration Learn how We believe this recognition reflects SAP’s long-term investment in helping manufacturers connect sourcing, engineering, planning, and supplier collaboration on a single foundation. Direct materials procurement doesn’t get enough credit for how hard it actually is.

RFPs are common in the world of enterprise software. Truly successful ones, less so. Well-run RFPs get right to the heart of requirements, match enterprises with the right solutions, and build solid plans to launch those solutions. Disorganized RFPs significantly lengthen the decision-making process without adding the intended value. So what separates an effective RFP from the rest?

With so many new opportunities brought about by artificial intelligence, companies need to make informed decisions, prioritize, and invest wisely in new AI technology. Not everything that is possible today makes sense in their specific business reality. That is why customer enablement is a crucial part of the global SAP AppHaus Network and its partners. Here’s a recent example of customer enablement provided by SAP AppHaus Network partner Bluestonex .

Since SAP Sapphire in May , SAP CEO Christian Klein has positioned the Autonomous Enterprise as the operating model for organizations that will lead the decade ahead, a model in which AI agents reason, decide, and execute inside the workflows that run the business. For many enterprise leaders, however, the gap between strategic ambition and operational reality has remained frustratingly wide. That gap is exactly what the Autonomous Enterprise podcast set out to close. Embed from open.spotify.

Organizations today face growing pressure to navigate labor shortages, evolving employee expectations, changing skills requirements, and increasing operational complexity. As these challenges converge—across factory floors, service centers, project teams, and global operations—workforce management is becoming more than an operational necessity. It’s becoming a strategic foundation for workforce transformation.

In conversations with customers across industries, trust is the barrier to AI adoption that comes up more often. Leaders and organizations need confidence that AI systems will perform reliably and remain accountable for suggested business actions, protecting sensitive data and treating people fairly. Ethical AI deployment closes that gap. When a system is technically robust, legally aligned, and ethically governed, customers, partners, and employees can scale it with confidence rather than...

As artificial intelligence moves beyond providing information and recommendations, enterprise software is becoming more capable of reasoning, making decisions, and taking action across business processes. SAP Reltio in SAP Business Data Cloud: Build a trusted system of context Learn how It’s a noticeable shift that could fundamentally change how enterprises operate.

At SAP Sapphire earlier this year, SAP defined the role of its Business Transformation Management portfolio in the Autonomous Enterprise and SAP Business AI Platform: to apply process intelligence, enterprise architecture, digital adoption, and transformation execution as the operational backbone through which enterprises deploy, govern, and scale AI agents.

A delayed delivery rarely stays in one part of a business. It can disrupt production, postpone a launch, affect a customer commitment, and change a financial forecast. The signal may appear in one transaction or document, but the response depends on context from several functions. Which orders are affected? What alternatives are available? Who needs to act and what should happen next?

One way to look at AI in the context of the Autonomous Enterprise is how sophisticated AI models are, their speed, reasoning capabilities, or ability to automate complex tasks. But that’s looking at the story from the inside out. Discover success plans and services that deliver the results your business needs to be future-ready Learn more The real measure of an Autonomous Enterprise isn’t how intelligent its AI is.

SAP Customer Experience has once again claimed top honors across the G2 Fall 2026 Grid Reports, earning 100+ Leader positions across categories, segments, regions, and report types. Driven entirely by verified customer reviews, this recognition reflects the trust thousands of businesses place in SAP CX to help power their most critical customer-facing operations. What makes G2 recognition uniquely meaningful?

Iconic and globally established brands owned by EssilorLuxottica—including Ray-Ban, Oakley, Varilux, and Crizal (lenses)—shape how millions of people see and experience the world. With a global retail network that includes Sunglass Hut, LensCrafters, Vision Express, and Apollo, the company operates at the intersection of medical technology, consumer fashion, and retail.

SAP has once again been named a Strategic Leader in the 2026 Fosway 9-Grid™ for Cloud HR, reinforcing our position as a trusted partner for organizations navigating workforce transformation. We have continued to invest in our portfolio to deliver the HCM platform that organizations need to succeed in the future, bringing together trusted AI, reliable data, and critical HCM processes across the entire employee lifecycle.

Ninety-nine years ago, in the fertile valleys of western Colombia where sugar cane is plentiful, Don Hernando Caicedo imagined turning the colors, shapes, and flavors of tropical fruits into luscious hard and soft candy treats. His dream led to the founding of Colombina and to a colorful corporate logo inspired by a character from an Italian opera who swung on the moon. In the 1960s, his son, Don Jaime H.

On September 15, 2026, the new sovanta AppHaus Newtown Square opened its doors for American customers. The grand opening event was scheduled along the local SAP Connect Day events for AI & Data Leaders, so guests from the regional business and technology community were welcomed at the new creative space. Near SAP’s Newtown Square campus, the factory-style sovanta AppHaus now invites SAP customers to hands-on co-innovation work.

This year marks the fifth consecutive edition of Economist Enterprise’s Procurement Imperative research, sponsored by SAP. The latest study, Procurement at a Crossroads: From Optimism to Realism , surveyed 2,648 C-suite executives across 23 countries and examines how procurement leaders are responding to pressures ranging from cost control and geopolitical volatility to the rapid advance of artificial intelligence.

Daikin’s story is about more than just an overdue technology upgrade. The company’s end goal was anchored around the employees and end customers: How can we make day-to-day experiences smarter, faster, and more intuitive while still building for the future? SAP Cloud ERP: Real-time insights, embedded AI, and scalable performance Learn more To answer this question, EY and SAP moved to one cloud ERP that enabled a unified, intelligent enterprise while reducing complexity and empowering people.

Procurement is operating in a fundamentally different environment than it was even a few years ago. The function is still expected to deliver savings, manage suppliers, and support compliance. But those responsibilities now sit alongside a much broader mandate: helping the business navigate volatility, strengthen resilience, and make better decisions in shifting markets.

WALLDORF — SAP SE (NYSE: SAP) today announced availability of the new TabPFN-3.5 model from Prior Labs, an SAP company. Capture business-wide AI value with speed and confidence Learn more This model marks the next leap in tabular AI, giving organizations access to unmatched tabular AI predictions on structured business data without model training or tuning. For SAP customers, TabPFN-3.5 Plus is now available in SAP AI Core.

In esports, success is often measured in milliseconds. A single decision can decide a match. Yet some competitions test far more than reaction speed and strategic execution. World of Warcraft’s Race to World First is one of those events. SAP BDC Helps Team Liquid Optimize Player Performance Read the news Unlike traditional esports tournaments that play out over a few hours, Race to World First pushes teams through days and sometimes weeks of continuous competition.

WALLDORF — SAP SE (NYSE: SAP) today announced that Team Liquid is using SAP Business Data Cloud to connect gameplay, wellness, biometric and operational data as it prepares for World of Warcraft’s Race to World First, which started August 18, 2026. Playing the Long Game: Why Team Liquid’s Race to World First Runs on SAP Business Data Cloud...

SAP is celebrating the 30 th anniversary of its SAP C ertification program, marking three decades of helping professionals across the SAP ecosystem validate their expertise and demonstrate their skills. Today, the focus is shifting from what candidates know to what they can actually do, reflecting how work is changing in the AI era. Since its launch in 1996, the SAP Certification program has provided learners at different stages of their careers with a trusted way to validate their SAP solution.

In the heart of SoHo, every storefront competes for attention. During New York Fashion Week (NYFW), SAP is helping bring a fashion retail store to life . Discover how Industry AI combines industry expertise, business data, and AI to turn insight into intelligent action Learn...

Earlier this year, we emphasized that business transformation is a continuous journey , not a static destination. It consistently translates innovation into tangible daily results. Today, we’re thrilled to highlight significant progress in the SAP Services and Support portfolio. To better drive success, our unified service release model will continue to deliver expanded capabilities seamlessly.

BETHESDA — SAP SE (NYSE: SAP) today announced that Lockheed Martin has successfully gone live with SAP SuccessFactors solutions, including SAP SuccessFactors Employee Central, SAP SuccessFactors Employee Central Payroll, SAP SuccessFactors Recruiting and SAP SuccessFactors Onboarding, marking a significant milestone in the company’s workforce transformation journey.