Samsung first launched its March 2026 security update for the Galaxy S25 series in South Korea. The rollout then expanded to users in Europe and India.  

If you have a Galaxy S25, S25+, or S25 Ultra, look for a PDA build number ending in BZC1. This will help you spot the March 2026 update. The next update is expected to be a bigger one  One UI 8.5 is on the way.  

The March update addresses 67 security issues, with 60 from Google and 7 from Samsung. It also changes some system-level functions.  

Go to Settings > Software Update > Download and Install. If it’s not available, the update is still rolling out and may take time to reach your device.  

Samsung started testing the One UI 8.5 Beta in December. Beta testers are expected to get the 8th beta version tomorrow. The stable release will depend on the testers’ input.  

Samsung is introducing AirDrop support to QuickShare for the Galaxy S26 series in a phased rollout: Korean users will receive it first, followed by Europe and the US. India is not included at this stage.  

The stable 1 UI 8.5 update is expected to include AirDrop support for Samsung devices. Samsung has hinted at a wider rollout but hasn’t shared which devices or when it will occur. The update may start to roll out to the public in early or mid-April 2026.  

Samsung has released the March 2026 security update for Galaxy Z Fold 7, Fold 6, and Flip 6 in the US. This patch focuses on improving security by addressing 65 issues, including 8 critical vulnerabilities.  

Samsung has now brought its latest security update to the US for its top foldable phones, including the Z Fold7, Z Flip7, Z Fold6, and Z Flip6. The March 2026 patch first launched in South Korea last week.  

Security updates usually don’t get as much attention as big new features, but this one is important. It fixes 65 security issues, including 8 critical and 52 high-level threats.  

This update was a team effort. Google provided 60 fixes for the wider Android system. Samsung added 5 more patches for its own software.  

March 2026 Security Update Reaches US Galaxy Z Fold7, Flip7, Fold6, and Flip6 

In the US, the update is now available for carrier-locked versions of the four foldable phones. Firmware versions ending in ZC1 are for the foldable phones. ZC3 and ZC1 are for the flip series. The update is about 500 MB.  

To check for the update manually, go to Settings > Software update > Download and install. The update is rolling out in stages, so it may take a few days to appear on all devices and carriers.  

The March update focuses on stability and security. There’s more coming soon. Samsung has just started the One UI 8.5 Android 16 QPR2 beta program for its latest foldable devices: the Z Fold 7 and Z Flip 7.  

The upcoming version will bring a new look and several new features. Once the stable One UI 8.5 update is released for the Z Fold 7 and Z Flip 7, Samsung plans to make it available for the Z Fold 6 and Z Flip 6 soon after, but the exact timing will depend on how the rollout progresses. 

Sources:  Galaxy S25 family’s March 2026 update expanding globally

Apple has introduced AirPods Max 2, featuring improved noise cancellation, enhanced sound, and new smart features, in the familiar over-ear style, powered by the H2 chip. Adaptive Audio, Conversation Awareness, Voice Isolation, and Live Translation are now included, supporting creators with studio-quality recording and camera-remote tools.  

You can order AirPods Max 2 starting March 25 at midnight, in Midnight, Starlight, Orange, Purple, and Blue. Orders open on March 25, and devices will begin shipping early next month.  

Thanks to the powerful H2 chip, AirPods Max now have up to 1.5 times better noise cancellation for a great all-day listening experience, said Eric Treski, Apple’s director of audio product marketing. The sound is clean, rich, and detailed, with features like personalized spatial audio. AirPods Max 2 offers a truly absorbing experience.  

Active Noise Cancellation Gets Even Better 

The H2 chip and new algorithms boost noise cancellation by up to 1.5×, reducing background noise so you can focus on music, work, or calls.  

A new digital signal processing algorithm designed for the H2 chip, and the AirPods Max microphones makes transparency mode sound more natural. This helps you stay aware of your surroundings and the people around you.  

Highest Fidelity Listening Experience 

The AirPods Max 2 feature a new high-dynamic-range amplifier that delivers cleaner audio while preserving the signature sound. AirPods Max spatial audio is improved too, with more distinct instrument placement, more accurate bass, and more natural mids and highs. Using the USB-C cable, AirPods Max support 24-bit/48 kHz lossless audio, letting creators work with high-quality sound and personalized spatial audio with head tracking.  

Reduced wireless audio latency also makes gaming even better. For those using AirPods Max 2 and playing in‑game mode, iOS, macOS, and iPadOS games feel increasingly responsive and immersive.  

Intelligent Features Come To AirPods Max 

The H2 chip brings a range of new features that make AirPods Max 2 smarter and easier to use.  

  • Adaptive audio automatically adjusts the levels of noise cancellation and transparency based on your surroundings to deliver the best sound experience.  
  • Voice isolation focuses on your voice and blocks out background noise during calls. Use the digital crown as a remote to take photos or start/stop video recording on your iPhone or iPad.  
  • Awareness lowers the volume and background noise when you start talking. Live translation helps you communicate in different languages in person.  
  • IStudio-quality audio recording offers better sound and more natural vocals for creators.  
  • Loud sound reduction protects you from loud noise while keeping audio quality. Personalized volume helps automatically adjust your listening based on your preferences over time.  
  • With Siri interactions, simply nod for yes or shake your head for no to respond to announcements.  

AirPods Max 2 And The Environment 

Apple 2030 is the company’s plan to become carbon neutral across all operations by the end of the decade, cutting emissions from materials, electricity, and transportation. AirPods Max 2 use 100% recycled rare earth elements in all magnets, recycled polyester in the ear cushions, and recycled gold plating and tin solder on all Apple-designed circuit boards. The paper packaging is made entirely from fiber and is easy to recycle. 

Source – Apple introduces AirPods Max 2 

News Highlights 

  • Boosts productivity with customizable ARM-based AI PCs providing up to 85 TOPS AI performance and 28-hour battery life.  
  • This enhances work and collaboration for varied roles using the latest EliteBook, ProBook, and EliteDesk devices.  

At HP Imagine 2026, HP Inc. announced new commercial notebook and desktop PCs. The highlight is the HP EliteBook 6 G2Q next-gen AI PC built to deliver strong AI performance and let users work productively from almost anywhere.  

Work no longer happens in just one place, and productivity shouldn’t be limited by where you are, said Guayente Sanmartin, Senior Vice President and Division President, Commercial Systems and Display Solutions at HP Inc. HP’s products and solutions touch every moment in the workday, giving us a unique ability to reduce friction and empower people to do more meaningful work. The EliteBook 6 G2Q brings that vision to life with powerful edge AI and true mobility, helping people stay focused, collaborate naturally, and make the most of each moment at work.  

HP2 EliteBook 6 G2Q Built for Always On AI-Powered Work 

As AI changes the way we work, organizations are dealing with more varied rules, roles, work styles, and AI-powered tasks often without the right tools. HP aims to bring AI to the edge, rendering it practical and personal by simplifying workflows, reducing obstacles, and giving employees more time for important work.  

The EliteBook 6 G2Q Next Gen AI PC is made for office teams and mobile professionals. It combines AI computing, smooth connectivity, long battery life, and a premium look in a lightweight, slim design. Maximizes productivity for advanced agentic AI workflows with up to 85 TOPS NPU performance on Snapdragon X2 Elite and X2 Plus processors, enabling a fast local AI experience on this copilot + PC Plus. HP is working with 100-plus ISV partners to leverage the device’s local AI capabilities, including Rakuten, GoodNotes, and Guidde  integrated solutions like Guidde Accelerate Everyday Productivity throughout workflows, helping teams create content up to 90 times faster with AI-powered video documentation.  

  • Keeps work going all day with battery life and consistent connectivity, and offers automatic carrier switching for the best connection.  
  • Soothes hybrid work with a lightweight body up to 15% thinner than before and a glacier silver finish.  
  • Secures work with HP WolfPro, Security Next Generation Antivirus, and physical intrusion detection that shuts down if opened.  

Choosing the Right Device for the Way People Work 

HP’s expanded commercial lineup now includes AMD and Intel options, indicating the variety of roles, workflows, and environments in today’s organizations. This lets IT departments and users choose the right device for their needs rather than a one-size-fits-all approach.  

  • HP EliteBook 8 G2 Series delivers premium performance and collaboration tools for knowledge workers and creators, balancing deep focus with frequent collaboration, including an A-grade pen with the world’s longest battery life for use with the HP EliteBook 8 Flip G2i.  
  • HP EliteBook 6 G2 Series delivers scalable productivity and flexible configurations for SMBs, enterprises, and the public sector, with a focus on adaptability and straightforward deployment.  
  • HP ProBook 4 G2 series, including the HP ProBook 4 Flip G2i for flexibility, is aimed at growing businesses seeking dependable AI-enabled performance and durability, unlike the EliteBook series. The ProBook emphasizes essential functionality and reliability suited for expanding businesses that prioritize cost-effectiveness and robust daily performance.  
  • HP EliteDesk 800 G2 Series offers secure, scalable desktops with flexible form factors for enterprise needs.  

All devices work smoothly across HP’s hardware connectivity and services for a unified, productive experience.  

Protection Built Into Your Workday 

HP adds new security features to protect data, services, and AI workloads wherever people work, including improved encryption and asset management options.  

HP IQ: Enabling New Local-First AI Experiences 

HP AI PCs will feature HP IQ, a new local AI layer introduced at HP Imagen. HP IQ uses on-device intelligence to boost productivity and keeps data secure by staying local for enterprise needs.  

HPIQ rolls out in Spring 2026 on select PCs, expanding to more devices by Fall 2026, and will continue to improve through ongoing updates.  

Pricing and Availability 

  • The HP EliteBook 6 G2Q next-gen AI PC is expected to be available on hp.com in July. Pricing will be provided closer to availability.  
  • HP EliteBook 8 G2 devices are expected to be available on hp.com starting in April. Pricing will be provided closer to availability.  
  • HP EliteBook 6G2 devices are expected to be available on hp.com starting in June. Pricing will be provided closer to availability.  
  • HP EliteBook 4G2 devices are expected to be available on hp.com starting in April. Pricing will be provided closer to availability.  
  • HP Elite Desk 8G2 devices are expected to be available on hp.com starting in April. Pricing will be provided closer to availability.  

These new devices underscore the broader impact of HP’s announcement.  

HP is growing its commercial PC lineup with new AI-enabled notebooks and desktops to help people work their best, no matter where they are. The HP EliteBook 6 G2Q Next Gen AI PC leads the lineup, offering strong on-device AI, continuous connectivity, long battery life, and enterprise-level security for today’s hybrid, AI-driven work.  

Next, consider HP’s distinct AI strategy within this portfolio.  

HP runs AI on devices, not just in the cloud, speeding performance, improving privacy, and supporting reliable, real-time use even offline. This approach maintains security and ease of management.  

Now, review which users can benefit most and how they can choose.  

HP’s lineup addresses diverse roles, from collaborative professionals to growing businesses and enterprise IT environments.  

EliteBook 8 G2 serves professionals needing focus and collaboration, while EliteBook 6 G2 supports tech-forward teams seeking standardization and advanced AI workflows.  

The ProBook 4 G2 series is designed for growing businesses, delivering reliable performance and durability for daily productivity as needs change. The EliteDesk 8 G2 series rounds out the lineup with secure, scalable desktops for enterprises, combining local AI acceleration, strong security, and flexible designs for modern workspaces.  

This lineup lets customers choose the right device for how they work, rather than a one-size-fits-all approach. 

Source: HP Imagine 2026: HP Enables People’s Best Work in More Places Than Ever Before 

Welcome to the Power Platform monthly video update. Here is a quick summary of last month’s product, community, and learning news. Let’s see what’s new in Power Platform.  

Platform management 

Licensing capacity reporting 

Licensing capacity reporting is now fully available in the Power Platform Admin Center > Licensing > Power Automate Usage. Admins can now easily see which users are over capacity and which flows use the most resources. Export options and a unified licensing page are coming soon, along with more improvements.  

Moving on to Power Platform inventory, 

Power Platform Inventory is now generally available. Tenant Administrators can now see all Cloud Flows, Copilot Studio, Agent Flows, and Workflows. Agent workflows across every environment in one view. Soon, additional connectors, actions, and key usage data will make it even easier to identify active automations, enforce compliance, and avoid orphan resources.  

Next, let’s discuss the new usage page, 

The new usage page is now in public preview. It features modern dashboards that show adoption trends and analytics for Power Apps, Power Automate, and Copilot Studio. You can already see how Flow runs data to track execution patterns across your tenant.  

Agentic apps 

Bringing Microsoft 365 Co‑pilot into model-driven apps. 

Earlier, we showed how to enable Microsoft 365 Copilot in model-driven apps. Now you can use it where your business processes open in the Copilot side-play pane. You can ask Copilot to summarize table data, show active or pending items, recap area causes history, and find related content through Work IQ. This helps you move easily from asking “What’s going on?” to deciding “What should I do next?”all without leaving the app.  

With Microsoft 365 Co-Pilot, you can bring in the right agent when you need it. You can add or mention built-in agents, such as Researcher and Analyst, or use a custom agent your organization provides. Working with agents helps you turn insights into action, such as drafting documents, creating PowerPoint presentations, or scheduling meetings. Everything stays connected to your app context and chat history. To get started, follow the admin setup guide to see how end users work in the pane and learn how to customize the experience with agents.  

Building Modern apps 

New quality updates for modern controls in Canvas apps. 

We’ve released quality updates for all 9 modern controls in Power Apps: Canvas Apps, Text Number Input, Date Picker, Text Input, Tab List, Combo Box, Radio, Link, and Info Button. This major update focuses on consistency, reliability, and flexibility, driven by maker feedback. Whether building new apps or updating existing ones, these improvements make modern controls easier to use.  

The main improvements are inconsistency, performance, and developer experience. Controls now use a unified property model with standardized names and predefined value sets offering better intelligence, fewer formula errors, and less guesswork. The on-change behavior now triggers at the right times for faster, more responsive apps. Mobile optimized defaults are automatically applied to mobile layouts.  

Migration is supported at every step. When you open an app with an older modern control, you’ll see an in-product notification with a “learn more” link. An Update button will be available soon for all controls, each with its own migration guide for property renames and formula changes. You choose when and how to upgrade.  

Power Automate 

Object-centric process mining analyzes processes by following real interacting business objects 

Object-centric process mining (OCPM) is a new way to analyze processes in Power Automate Process Mining. It models processes as they happen in real business environments. In contrast to traditional case-centric process mining, which groups events under a single case (e.g., an Order ID), OCPM allows a single event to belong to multiple objects and types, such as orders, invoices, deliveries, and payments. This retains the full network of interactions and dependencies intact.  

This feature solves a key problem in case-centric mining when events involve multiple objects. Putting them into a single case can hide relationships, duplicate events, or distort metrics. OCPM keeps these connections clear, showing object life cycles, activity nodes across object types, and color-marked flows. This makes it easier to spot bottlenecks. Check compliance rules, such as “ship only after payment,” and see how different processes or flows come together.  

OCPM works best when outcomes depend on relationships between different object types, such as in order-to-cash, procure-to-pay, or supply chain processes that can involve multiple related activities. Case-centric mining remains best for focused, single-instance workflows and processes centered on a single object or case.  

The Process Intelligence Experience is the new interface for process analysis in Power Automate Process Mining. It replaces the old fixed overview with a flexible card-based dashboard that adapts to your needs. You can create multiple tabs for different views, use dynamic filters across all visualizations, and arrange or resize cards to build your own workspace.  

Major enhancements include grouping related metrics and visualizations, switching between pre-configured views instantly, and sharing dashboard setups with your team. Data refreshes continuously, so you always have up-to-date information. Customizable layouts let you control what you see and how, making it easy to create views for different stakeholders and use cases.  

Power pages 

Infuse intelligent experience into Power Pages sites with the new Agent API 

The Agent API for Power Pages lets site creators build custom chat and other user experiences. You can also connect these with your own Microsoft Copilot Studio agents. This gives presentations more flexibility to add intelligence to their web experiences.  

Public preview, build Power Pages sites with AI using agentic coding tools 

We are announcing the public preview of the Power Pages plugin for GitHub Copilot, CLI, and Cloud Code. Just describe the site you want in plain language. The plugin handles everything from project setup and web API integrations to permissions and site deployment.  

The plugin is designed specifically for Power Pages. It understands table permissions, web roles, site settings, authentication, and web API patterns because it generates platform-aware code. You spend less time on manual setup and more time building your site. 

Source: What’s new in Power Platform: March 2026 feature update 

OpenAI has redefined ChatGPT, transforming it into a powerful AI product discovery and shopping platform that challenges traditional search engines.  

Building on these feature enhancements, the new features will be available to all users Free, Go, Plus, and Pro starting in late March 2026.  

New Shopping And Discovery Features 

  • Conversational shopping research: users describe what they want. ChatGPT delivers tailored buyers’ guides by analyzing web data, reviews, and product details.  
  • Visual search and comparison: users load images or describe needs. ChatGPT delivers instant side-by-side comparisons of products, prices, reviews, and features, eliminating the need to browse multiple sites.  
  • Memory integration, ChatGPT recalls prior conversations to better understand your preferences and refine recommendations.  
  • In targeted categories, the system excels in detailed domains like electronics, beauty, home and garden, and fashion.  

Commerce Integration (Agentic Commerce Protocol Or ACP) 

  • Merchant Partnerships, Leading Retailers, Target, Sephora, Nordstrom, Lowes, Best Buy, Home Depot, and Wayfair are now integrated with ChatGPT.  
  • Direct product feeds. Merchants use OpenAI’s ACP to deliver real-time product feeds. This ensures data, pricing, and availability remain accurate throughout conversations.  
  • E-commerce expansion is moving on to instant checkout. OpenAI is integrating Shopify and other platforms. Merchants can build custom chat app experiences.  

Impact On Search And Marketing 

  • Rethinking speech, this update shifts product discovery from keyword searches to dynamic AI-driven recommendations.  
  • Advertisement-free experience potential. The platform features organic, unsponsored recommendations. Beginning late March 2026, OpenAI will trial free ads for Go users in the US to ensure service sustainability.  
  • SEO shift: marketers must now optimize for AI-driven discovery, not just traditional search engines. Structured data and dialogue content take priority.  

All together, this update marks a major shift toward AI as the main starting point for shopping, handling millions of shopping-related questions every day.  

AI is reaching a point where everyone can have a personal assistant to support their learning and productivity. Who gains access to this technology will decide if AI expands opportunity or reinforces existing inequalities.  

We want to make powerful AI available to everyone. Since August, we have launched ChatGPT Go, our free and low-cost subscription, in 171 countries. Now Go is coming to the US and all places where ChatGPT is available. For $8 a month, you get more features, including messaging, image creation, file uploads, and storage. Soon, we will also start testing ads in the US for the free and Go plans. This will help more people use our tools with fewer limits or for free. Pro, Business, and Enterprise plans will stay ad-free.  

As we introduce ads, our focus remains on preserving what makes ChatGPT valuable. You can trust that answers are based on helpfulness, not advertising. Your data is kept private and not sold to advertisers. You also have control over ad relevance and personalization.  

With that in mind, here are the principles that guide how we approach advertising:  

Our Advertising Principles 

  • Mission Alignment Advertising should help make AGI accessible to all.  
  • Answer Independence Ads never affect the answers you get from ChatGPT. Answers are always based on what’s most helpful to you. Ads are kept separate and clearly marked.  
  • Conversation privacy: Your ChatGPT conversations are private and are not shared with advertisers.  
  • With choice and control, you can personalize and clear ad data at any time. There will always be an ad-free paid option.  
  • Long-term value, trust, and experience matter most, not maximizing time on ChatGPT.  

We plan to start testing ads for logged-in adults in the US on the Free and Go plans soon. The testing will begin in the coming weeks and roll out gradually. Ads will appear at the bottom of ChatGPT answers. When there is a relevant sponsored product or service related to your conversation, ads will be clearly marked and kept separate from regular answers. You will be able to see why you are seeing an ad, dismiss it, and provide feedback. During this initial testing phase, we won’t show ads to users under 18 or near sensitive topics like health, mental health, or politics.  

The best ads are helpful, entertaining, and help people find new products and services. With AI, we’re excited to create new advertisement experiences that are more useful and relevant than ever before. Chat-based interfaces let people do more than just click links; for example, you might soon see an ad and be able to ask questions to help you decide what to buy.  

Ads can also help small businesses and new brands compete. AI tools make it easier for anyone to create great experiences that help people find options they might not have seen before.  

We’ll listen to feedback and keep improving how ads appear. But our promise to put users first and keep our trust remains the same as we build our ad platform. With these principles, we can ensure our goals align with what people want from ChatGPT. We are focused on creating products and experiences that people and businesses value enough to pay for. Our enterprise and subscription services are already strong, and we believe ads can help make AI even more accessible as part of a balanced revenue model.  

When ad testing begins, we’ll seek feedback to ensure ads help expand AI access while maintaining trust in ChatGPT. 

SourceOur approach to advertising and expanding access to ChatGPT 

Artificial intelligence is reshaping the landscape of computing today.   

Most companies use Kubernetes to automate the deployment, scaling, and management of AI workloads in containers worldwide to manage high-performance AI infrastructure more transparently and efficiently. NVIDIA is donating an important software tool, the NVIDIA Dynamic Resource Assignment (DRA) driver for GPUs, to the Cloud Native Computing Foundation. CNCF is an independent organization that supports the cloud-native ecosystem.  

Announced today at KubeCon Europe in Amsterdam, this donation moves driver management from NVIDIA to Kubernetes. The Kubernetes community welcomes wider contributions and faster improvements for cloud technologies. Collaboration with the Kubernetes and CNCF communities to upstream the NVIDIA DRA driver for GPUs constitutes a major milestone for open-source Kubernetes and AI infrastructure, said Chris Aniszczyk, Chief Technology Officer of CNCF. Through aligning its hardware innovations with upstream Kubernetes and AI conformance efforts, NVIDIA is making high-performance GPU orchestration effortless and accessible to all.  

NVIDIA has also worked with CNCF to add GPU support for Kata containers. Kata containers are lightweight virtual machines that behave like regular containers while providing the isolation benefits of traditional virtual machines, offering improved security for workloads. This enables hardware acceleration in a more secure environment and makes it easier for organizations to adopt confidential computing, helping keep their data safe during processing.  

Simplifying AI Infrastructure 

In the past, managing GPUs for AI in data centers was complex. Now, efforts aim to make high-performance computing easier to use. Developers will benefit in several ways:  

  • Improved efficiency: the driver shares GPU resources more effectively, leveraging NVIDIA Multi-Process Service and Multi-Instance GPU technologies. The driver natively connects systems, including through NVIDIA multi-node NVLink technology; this is key for training large AI models on NVIDIA Grace Blackwell systems and other advanced AI infrastructure.  
  • Flexibility: developers can adjust their hardware setup as needed, changing how resources are used at any time.  
  • Precision: Users request precise computing, memory, or connection resources as needed.  

NVIDIA collaborates with major industry players to advance these features for the cloud-native community, ensuring they are at the core of every successful enterprise. “AI strategy bringing standardization to the high-performance infrastructure components that fuel production AI workloads,” said Chris Wright, Chief Technology Officer and Senior Vice President of Global Engineering at Red Hat. NVIDIA’s donation of the NVIDIA DRA driver for GPUs helps to cement the role of open source in AI’s evolution, and we look forward to collaborating with NVIDIA and the wider community within the Kubernetes ecosystem.  

Open-source software and its communities are a foundation of the infrastructure used for scientific computing and research, said Ricardo Rocha, lead of Platforms Infrastructure at CERN. For organizations like CERN, efficiently analyzing petabytes of data is essential to discovery, and community-driven innovation accelerates science. NVIDIA’s donation of the DRA driver supports the ecosystem that researchers depend on for both traditional scientific computing and machine learning workloads.  

Expanding the Open Source Horizon 

NVIDIA introduced the CLAW reference stack, which provides a standardized set of software for running AI infrastructure, and the NVIDIA OpenShell runtime, which lets users securely run autonomous agents programs that perform tasks independently. OpenShell offers security and privacy controls and works directly with Linux (an open-source operating system), eBPF (a technology for running programs inside the operating system kernel), and Kubernetes.  

NVIDIA also announced today that its high-performance AI workload scheduler, the KAI scheduler, is now a CNCF sandbox project. This is an important step to encourage more collaboration and ensure the technology grows with the needs of the cloud-native community. Developers and firms can start using and contributing to the KAI scheduler now.  

NVIDIA reaffirms its commitment to maintaining and contributing to Kubernetes and CNCF projects. This ongoing involvement helps meet the high demands of enterprise AI customers.  

After releasing Dynamo 1.0, NVIDIA expands the Dynamo ecosystem with Groove, an open-source Kubernetes API (application programming interface, a set of tools for building software) for managing AI on GPUs. Integrated with the LLM D inference stack a platform for running large language model inference it lets developers describe complex inference (the process of running AI models to get results) in a single resource.   

With these advances, companies can begin using and contributing to the NVIDIA DRA driver today.  

To experience these technologies firsthand, visit the NVIDIA booth at KubeCon for live demonstrations.

Source: Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community 

Your organization has likely spent recent years adopting best practices such as zero-trust architecture. Still, the cybersecurity environment is becoming more challenging.  

Threat actors now use AI to find and exploit vulnerabilities. They automate password attacks, phishing, and deepfake content, join calls, request IT support, and reset passwords. Some use AI to adjust their agents in real time as they move through your network.  

Focus on these four key priorities to lead identity security effectively this year. 

  1. Demand AI-powered protection that operates rapidly, adapts instantly, and remains vigilant at all times.  
  1. Prioritize the management, oversight, and protection of both AI and AI agents with immediate attention.  
  1. Implement zero trust across the organization using a unified access fabric solution.  
  1. Establish a strong identity and access foundation for enduring security.  

Use AI-Powered Protection That Is Quick, Adaptable, and Constantly Alert 

In 2026, make it a priority to add AI agents to your workflows. This will help reduce risk, speed up decision-making, and strengthen your defenses.  

Security systems generate a lot of data, but turning that information into clear actions remains mostly manual and can lead to mistakes. Tasks like investigations, policy adjustments, and threat responses often require assembling information from many tools, often under time pressure. Since cyber attackers now use AI to move faster and at a larger scale, relying only on human workflows can hold defenders back.  

Generative and agent-based AI enable teams to proactively manage access, identify policy gaps, and strengthen controls without increasing user friction. You can interact with these agents much like co-workers, reviewing patterns and policies to identify and explain needed changes. A recent study found that identity admins using the conditional access optimization agent in Microsoft Entra finished conditional access tasks 43% faster and 48% more accurately in tested scenarios. These improvements lead to stronger identity security and fewer opportunities for cyber attackers to find weaknesses. Microsoft Entra also comes with built-in AI agents that can review users’ apps, sign-ins, risks, and settings in context. They help you investigate unusual activity, summarize risky behavior, check for sign-in changes, investigate and fix risks, and improve access policies.  

The main benefit of AI-powered protection is its speed, scalability, and flexibility. Human-only workflows can’t keep up with the pace of evolving cyberattacks. By working with AI agents, your teams can frequently assess security, strengthen access controls, and respond to new risks before they become bigger problems.  

Manage, Oversee, and Protect AI and AI Agents 

Treat every AI agent as a critical identity, managing them with the same rigor as human users to avoid security gaps.  

The rise of AI increases the risk of agent sprawl and data leaks. These tools must be secured against emerging threats.  

The good news is that you can use the same zero-trust principles for both human employees and AI agents and manage them with the same tools. You can add advanced controls, including monitoring how agents interact with outside services, setting limits on internet access, and stopping sensitive data from reaching unauthorized AI or SaaS apps.  

With Microsoft Intra Agent ID, you can register and manage agents using familiar Intra experiences. Each agent receives its own identity, which improves visibility and auditability across your security stack. Requiring a human sponsor to govern an agent’s identity and life cycle helps prevent orphaned agents and preserves accountability as agents and teams evolve. You can even automate lifecycle actions for onboarding and retiring agents using conditional access policies. You can block risky agents and set guardrails for least privilege and just-in-time access to resources.  

Microsoft Internet Access detects and secures risky or unsanctioned apps, protects against attacks, and prevents data leaks with network filtering and classification policies. Visibility over network activity lets you use AI agents safely, ensuring policy adherence.  

Extend Zero Trust Principles Everywhere With an Integrated Access Fabric Security Solution 

Identity systems manage credentials and access rights, but may miss network activity. Integrate identity and network access into your Zero Trust setup so they work through a single policy engine. This improves visibility and control over each user session.  

Many organizations use multiple identity and network solutions from different vendors, obstructing visibility. Attackers exploit gaps, using AI to automate phishing and increase breaches.  

A unified platform combines identity, network, and device data for consistent access controls, whether work happens in the cloud, on-site, or at the edge. Drawing on multiple sources, it better evaluates risk and continuously checks trust for real-time, risk-based decisions.  

Microsoft Intra secures access for AI, SaaS apps, internet traffic, and private resources by uniting identity and network controls under a single zero-trust policy engine. Microsoft Entra Conditional Access continuously tracks user and network risks and updates policies immediately when risk levels change, blocking access for users, apps, or AI agents as needed.  

With Entra, your security team sets policies centrally with assurance that they are enforced everywhere. These adaptive controls safeguard users, devices, and AI agents, closing security gaps and simplifying policy management.  

Strengthen Your Identity and Access Foundation to Start Secure and Stay Secure 

Start with a secure foundation using phishing-resistant credentials and strong identity checks to ensure only authorized people can access your systems even during authentication and recovery.  

A baseline security model sets minimum standards for identity, access, system hardening, and monitoring. Use controls like security defaults, Microsoft-managed conditional access, or Microsoft 365 baseline security mode. Move from passwords to passkeys for stronger, easier sign-ins. Use robust recovery and onboarding processes requiring government-issued identification and biometric checks to stop bad actors and AI impersonators.  

Microsoft Entra helps you enforce best practices, including using phishing-resistant credentials, which are authentication methods that protect against fraudulent login attempts for all accounts, and passkey rules. Most admins or users in regulated industries can use device-bound passkeys, such as physical security keys or codes generated by Microsoft Authenticator. Others can use synced passkeys, which are cloud-stored credentials for ease of use. Protect all admin accounts with phishing-resistant credentials and require new employees to set up a passkey before access. With Microsoft Entra Verified ID, you can add a live person check verifying that the user is present and confirm government-issued identification for enrollment and recovery.  

Combine access policies, device compliance, threat detection, and identity protection to further strengthen your foundation.  

Support Your Identity and Network Access Priorities With Microsoft 

The 2026 plan is clear. Use AI for rapid, scaled protection. Secures AI and agents. Apply zero trust with an access fabric solution and strengthen your identity foundation. These steps keep your organization agile and resilient. Evolving threats demand that you outpace advanced attacks.  
Sourcehttps://www.microsoft.com/en-us/security/blog/2026/01/20/four-priorities-for-ai-powered-identity-and-network-access-security-in-2026/ 

News Highlights 

  • Meta is collaborating with AM to speed up AI infrastructure expansion and quickly develop and deploy advanced AI models.  
  • AMD and Meta have signed a long-term partnership to deploy up to 6 gigawatts of AMD Instinct GPUs across multiple product generations.  
  • The first gigawatt based on AMD’s Helios Rack-scale architecture will ship in 2026, featuring a custom AMD Instinct GPU designed by Meta.  
  • AMD and Meta are strengthening their partnership by coordinating their plans for GPUs, CPUs, systems, and software.  

Santa Clara, California, and Menlo Park, California. AMD and Meta announced a 6-gigawatt agreement to power Meta’s next-generation AI infrastructure across multiple generations of AMD Instinct GPUs.  

The agreement builds on past collaboration and aligns hardware and software plans to serve Meta. The initial rollout in 2026 will use custom AMD Instinct GPUs, 6th-gen EPYC CPUs, and Helios rack-scale architecture developed with Meta for scalable AI infrastructure.  

“We are proud to expand our strategic partnership with Meta as they advance the boundaries of AI at unprecedented scale,” said Dr. Lisa Hu, Chair and CEO, AMD. “This multi-year, multi-generation collaboration across Instinct GPUs, EPYC CPUs, and rack-scale AI systems aligns our roadmaps to deliver high-performance, energy-efficient infrastructure optimized for NetA workloads, accelerating one of the industry’s largest AI deployments and placing AMD at the center of the global AI build-out.”  

Mark Zuckerberg, founder and CEO of Meta, said, “We are pleased to establish a long-term partnership with AMD to deploy efficient inference to compute and advance personal super intelligence.” This agreement represents a significant step for Meta as we diversify our compute resources. We anticipate that AMD will remain a valuable partner for years to come.  

AMD and Meta are expanding their partnership around EPYC processors. Meta has long used AMD CPUs and GPUs in its infrastructure. As AI systems grow, CPUs remain essential for efficiency and scale. Meta will use 6th-generation AMD EPYC CPUs and Verano, a new processor for specific workloads.  

As part of the agreement, AMD has granted Meta a performance-based warrant for up to 160 million AMD shares. These shares will be earned as Meta reaches certain milestones in purchasing AMD Instinct GPUs: initial shares vest after the first gigawatt shipment, with additional shares vesting as purchases reach 6 gigawatts. AMD must also meet certain stock price targets, and Meta must achieve specific technical and business milestones outlined in the agreement.  

This partnership supports strong revenue growth and advances our financial goals, said Jean Hu, AMD’s EVP, CFO, and Treasurer. Its performance-based structure aligns AMD and Meta on strategic execution and value creation.  

AMD and Meta are working together on hardware systems and software to build a global AI infrastructure. Their goal is to speed up AI innovation and deliver AI-powered services and experiences to billions of people.  

AMD Teleconference 

AMD will hold a conference call at 7:30 a.m. CT, 8:30 a.m. ET today to discuss this announcement. The live audio broadcast will be on the Investor Relations page at www.amd.com.  

About AMD 

AMD creates high-performance and AI computing solutions to tackle major global challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs, and gaming, with a wide range of AI-optimized CPUs, GPUs, networking, and software. AMD offers complete AI solutions that deliver the performance and expandability needed for contemporary computing.  

About Meta 

Meta is working to shape the future of interpersonal connections using artificial intelligence and immersive technology. Since its launch in 2004, Meta has changed how people connect. Apps like Messenger, Instagram, and WhatsApp have helped billions of people worldwide. Now, Meta is moving beyond 2D screens to create experiences that foster closer connections and open new opportunities.

Source:  AMD and Meta Announce Expanded Strategic Partnership to Deploy 6 Gigawatts of AMD GPUs 

Google Cloud has introduced a new set of security controls to help organisations protect their data against mounting cyber threats. The update, published on Google Cloud’s security and identity blog, demonstrates the company’s commitment to helping businesses safeguard sensitive information across their distributed cloud environments. 

Companies that move their critical operations to the cloud now treat security as their primary focus rather than an afterthought. The latest controls enable organisations to better monitor their systems, control access to their data, and strengthen their defences against new security threats. 

Addressing a Changing Threat Landscape  

The introduction of these controls comes at a time when the threat landscape is rapidly evolving. Enterprises are experiencing cybersecurity threats that extend beyond individual incidents into ongoing, sophisticated attacks targeting their cloud infrastructure, identity systems, and data protection systems.  

According to Google Cloud’s broader security insights, attackers are using misconfigurations, weak identity controls, and visibility gaps as their main method to access sensitive systems. The structure of the cloud environment increases risk because organisations store information across multiple services and geographic regions.  

Organisations will use the new controls to meet their requirements for real-time data monitoring, management, and protection.  

Expanding Identity and Access Controls  

The primary objective of the update is to improve identity and access management capabilities. Organisations must create authentication systems that safeguard user credentials for their security identities to control resource access in their cloud environments.  

Google Cloud has developed access control systems that allow organisations to create customised permission sets that meet their operational requirements. The solution helps reduce the likelihood of attackers targeting accounts with unnecessary permissions. 

The update includes an important feature that enables organisations to continuously verify user access rights by monitoring changes in user behaviour and location information in real time. The method follows a zero-trust security framework, which requires all users and systems to prove their trustworthiness before accessing resources.  

Improving Data Visibility and Monitoring  

The update provides improved data tracking capabilities, which allow users to see how data travels through the entire system. Enterprises face difficulties when they attempt to monitor data access, sharing, and modification across their intricate cloud systems. 

The new controls enable organisations to monitor data usage patterns through enhanced monitoring features that provide better visibility. The system enables security teams to discover unusual activities while they investigate security incidents and track down possible security vulnerabilities. 

Google Cloud provides security teams with detailed log information and analytical tools, enabling them to shift from responding to threats after they occur to detecting threats before they happen.  

Strengthening Data Protection Mechanisms  

The update establishes enhanced data protection methods that go beyond access management and surveillance. The system now implements stronger data protection measures, including enhanced encryption, improved key management, and additional security against unauthorised access.  

Google Cloud uses encryption as its primary security mechanism, protecting data as it travels and while it is stored. The new controls build on this foundation by ensuring that encryption policies are consistently applied across different services.  

Data protection systems prevent accidental data breaches, which include unintentional information leaks. Organisations face substantial risks of data breaches because their storage buckets remain exposed to the internet without adequate protection measures. The updated controls aim to reduce these risks by providing clearer guidelines and automated checks.  

Supporting Enterprise Compliance Requirements  

Security measures for most organisations exist because they must meet their regulatory obligations. Data protection requirements must be followed by organisations operating in the healthcare, finance, and government sectors.  

Google Cloud has developed new security controls to help organisations meet their compliance needs through tools that enable them to demonstrate regulatory compliance. The system provides three main components, which include audit functions, policy enforcement tools, and reporting capabilities to help organisations meet their regulatory compliance needs.  

The update streamlines compliance requirements, enabling businesses to dedicate more resources to developing new products while still adhering to essential security protocols.  

The Role of Automation in Cloud Security  

The process of security operations management in cloud environments requires automated systems because they must handle security operations at their required standards, as they demand extensive operational resources and advanced technical capabilities. 

The new controls incorporate automated security features that detect risks, enforce security policies, and respond to security threats without human supervision. The system achieves better operational results by increasing efficiency while reducing the likelihood of mistakes.  

Automated systems deliver faster response times by helping organisations prevent minor security issues from escalating into major breaches.  

Implications for Enterprise IT Teams  

The update delivers advanced security systems that combine artificial intelligence with organisations data protection and monitoring functions.  

The system integration process simplifies operational tasks while providing users with complete visibility into security status. Teams can make better decisions because they have access to complete data instead of working with incomplete information. Organisations need to invest in employee development because cloud systems have become more complex to manage.  

Security as a Core Cloud Priority  

The current security controls demonstrate how organisations now treat security as an essential element of their cloud computing operations. The increasing dependence of organisations on cloud services requires them to implement security systems that can handle diverse protection needs.  

Google Cloud now implements security as a fundamental element that becomes part of its cloud infrastructure design. The system uses an integrated design that establishes security protection throughout all system components. 

What Comes Next  

As cyber threats evolve, cloud providers must continually update and refine their security measures. Google Cloud’s latest controls are one step in this ongoing effort.  

Future developments will likely focus on further automation, advanced threat detection, and deeper integration with AI-driven security tools. These advancements will help organisations. 

Source links – Cloud CISO Perspectives: New Threat Horizons report highlights current cloud threats 

Apple is increasing its use of on-device artificial intelligence to strengthen user privacy protection across its entire product ecosystem. The move reflects the company’s long-standing position that personal data should remain under user control, even as AI-driven features become more central to modern computing experiences.  

The update builds on Apple’s privacy framework, especially in areas like Siri. The company is shifting more processing to the device rather than to cloud-based systems. This approach reduces data transmission from the device while offering advanced AI functions.  

A Privacy-First Approach to AI  

Apple focuses on processing information through device-based methods, enabling it to handle the largest data volumes. The system requires transmitting data over the internet to remote servers that conduct the analysis.  

Apple uses local data storage to protect its system from external threats while reducing the risk of unauthorised access to data. The company has demonstrated that voice commands and users’ app usage patterns can be analysed without requiring cloud storage.  

This method is of great importance because AI technologies now operate across many daily activities, including messaging systems, search functions, personalised recommendation services, and voice-assistance tools.  

Siri and the Shift to On-Device Processing  

Siri is the main way Apple delivers on-device AI. The company works to ensure more voice requests are handled directly on the device rather than on external servers.  

The new system enables Siri to provide faster responses while providing better protection for user information. The system enables users to process their requests locally, as all web-based requests are unnecessary.  

Apple highlights improvements in how Siri handles user data, including minimising the amount of information it collects and using techniques such as random identifiers instead of personal accounts, performance, and privacy.  

The system faces difficulties because it must continue to perform well while maintaining access to cloud resources. The system needs both efficient hardware and optimised software to process data at local sites, enabling accurate, fast results.  

Apple needs custom silicon, which includes its Neural Engine, because this technology enables the company to achieve its operational goals. The chips enable the company to run advanced artificial intelligence models by processing machine learning operations directly on user devices.  

The system provides advanced features that protect user privacy, which Apple uses to create a competitive advantage against other companies.  

Reducing Data Collection and Storage  

Apple directs its data collection operations to avoid collecting and storing unnecessary information about users. The company processes data in real time to delete information after users complete their sessions, rather than creating comprehensive user profiles.  

The system protects against data breaches and unauthorised access through its security measures. Apple uses aggregation and anonymisation to protect user identity while still using data to enhance its services.  

Apple restricts its data storage practices to ensure its artificial intelligence systems conform to its overall privacy policies across the Apple ecosystem.  

Apple uses its core principles to extend on-device AI beyond Siri across its entire product ecosystem, including iPhone, iPad, and Mac. Local processing powers features such as predictive text, photo recognition, and app suggestions, which increasingly depend on this technology. The system protects personal information because it stores all user data, including messages, images, and usage statistics on the device.  

Deploying on-device AI across products establishes a unified privacy experience for users switching between devices.  

Implications for Users in the United States  

The United States market presents Apple with a unique value proposition, as American customers increasingly worry about data privacy and security. The company develops its solution to safeguard personal information by processing customer data locally.  

The world today places great significance on artificial intelligence, as it now forms an essential part of everyday human activities. The growing use of intelligent systems by users creates a need to implement privacy and security measures during these interactions. Apple’s approach to privacy protection will shape how customers expect products to function while pushing competitors to adopt similar privacy practices. 

Competing Approaches in the AI Landscape  

Apple’s major competitors use cloud AI systems, whereas Apple relies on on-device processing for its AI functions. The systems provide improved computational capabilities, yet they require users to gather more comprehensive data before operation.  

The different methods people choose to reveal how technology companies confront their fundamental industry conflicts. The first approach seeks to achieve optimal system performance through centralised data handling. The second approach enables us to decentralise operations.  

Apple believes that businesses can achieve a competitive edge through privacy protection, which users will increasingly demand as they become more informed about their data privacy practices. 

Challenges and Limitations  

On-device artificial intelligence systems offer benefits but also pose drawbacks. The processing power of local systems falls short of what cloud systems can deliver when handling complex tasks that require extensive resources.  

The limitations of device hardware include both its processing capacity and power consumption. The ongoing challenge involves maintaining efficient AI operations that do not consume excessive system resources.  

Apple must continue improving its technological solutions to strike the right balance between these requirements and its commitment to user privacy.  

The Future of Privacy-Centric AI  

The expansion of on-device AI shows that people now prefer computing systems that protect their private information. The data-handling methods used by everyday devices that incorporate AI technology will determine how much trust users place in them.  

Apple shows that companies can provide smart features through their products without collecting large amounts of user data. This model could become more common as regulations tighten and user expectations evolve.

Source:  Our longstanding privacy commitment with Siri