NVIDIA and SLB Launch AI Factory to Automate US Energy Options

On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.  

Key Elements Of The AI Factory Partnership 

  • The AI Factory for Energy is a reference system that uses generative AI – AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB’s Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.  
  • SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.  
  • The partnership will improve AI models and high-performance computing workflows on SLB’s design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.  

Impact On Energy Operations 

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on  

  • Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.  
  • Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.  
  • The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory’s carbon footprint.  

Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.  

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA’s Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.  

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector 

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB’s global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.  

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB’s Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.  

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry’s scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.  

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB’s high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.  

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.  

For more information, visit sl.com/nvidiacollaboration.  

About SLB 

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

NVIDIA and Lenovo Expand AI Infrastructure for Edge and Smart City Systems

NVIDIA and Lenovo have established a partnership to develop artificial intelligence networks that will enhance edge computing capabilities and support smart city systems. The current trend in the industry shows organisations deploying AI technologies to work directly with data sources instead of depending on conventional data center operations. 

NVIDIA develops AI-ready infrastructure through its partnerships with hardware manufacturers such as Lenovo, which enables organisations to manage urban traffic and industrial operations in real time from different locations. 

Moving AI Closer to the Edge  

The expansion signals a shift to edge computing, where data is processed at its source rather than sent to remote cloud servers. This approach reduces latency by minimising round-trip data travel time.  

Smart city environments rely on edge AI infrastructure to process the enormous data generated by their sensors, cameras, and connected devices. By processing data locally, organisations make faster decisions for traffic control, public safety, and energy management.  

NVIDIA’s AI RAN-ready infrastructure platform enables telecommunications and enterprise networks to incorporate artificial intelligence capabilities into their network operations.  

The Role of NVIDIA’s AI Infrastructure  

NVIDIA extends its partnership through AI computing platforms that execute advanced computational tasks across distributed systems. The platform combines GPU acceleration with integrated networking to enable high-speed data transfer between components.  

NVIDIA uses its infrastructure to build AI systems that operate in real-world conditions, performing video analysis, sensor data processing, and real-time predictive modelling.  

NVIDIA enables organisations to implement continuous AI edge systems that adapt their operations to actual environmental conditions through its infrastructure capabilities.  

The partnership leverages Lenovo’s expertise in enterprise hardware and system integration. Lenovo’s servers and edge solutions support AI workloads in data centres and remote locations.  

The NVIDIA-Lenovo collaboration delivers comprehensive AI solutions tailored for Lenovo hardware. These systems achieve top performance and high reliability while maintaining energy efficiency.  

Integrated solutions used by smart city organisations streamline project initiation and reduce the need for multiple vendors.  

Smart City Applications and Use Cases  

Urban areas depend on smart city systems that use AI infrastructure alongside their interconnected technologies to improve living conditions while achieving more efficient resource management.  

The AI-powered edge infrastructure supports traffic-optimisation applications that use real-time data to adjust signals and reduce congestion. The public safety system uses video surveillance to monitor locations, which helps them detect incidents and respond more quickly.  

AI systems track and manage energy to enhance efficiency. The system needs to process local data because it requires immediate processing to deliver quick outcomes. 

Integration with Telecom Networks  

The partnership relies on seamless integration with telecommunications systems. AI RAN (Radio Access Network) technology deploys AI workloads within network operations.  

Telecom providers apply AI to optimise network operations, predict maintenance needs, and manage traffic. Combining AI with 5G networks supports high-speed, low-latency urban applications.  

The system enables large-scale deployment of connected devices, essential for smart city networks.  

Addressing Performance and Efficiency Challenges  

The deployment of AI systems in edge environments creates special challenges because of their restricted processing capabilities. The system needs to process advanced tasks while operating within its limited space.  

NVIDIA and Lenovo solve these problems through their joint hardware and processing solutions, which help organisations operate advanced AI models with high efficiency.  

Edge performance improvements decrease the need for central data centres while they also cut operational expenses and boost system dependability. 

Implications for US Infrastructure Development  

The United States uses its expanding artificial intelligence system to support both urban development and digital transformation efforts. Municipalities pursuing operational efficiency and sustainability now focus their resources on developing smart city projects.  

Organisations achieve service improvements through AI deployment at scale while reducing expenses and promoting economic growth. Strategic development protects security and reliability while enabling public access.  

The business partnership between NVIDIA and Lenovo shows how technology firms create solutions to solve problems that emerge when they operate in large environments. 

Building the Foundation for Intelligent Environments  

The AI infrastructure development work by NVIDIA and Lenovo enables the creation of smart environments that adjust to their changing surroundings. The partnership extends AI to edge locations through its integration with telecom networks while introducing new operational methods for urban environments. The future development of systems will rely on distributed computing as its essential component during the next several years. Organisations that succeed in creating scalable systems will achieve their digital transformation goals because they need systems that deliver efficient performance while adapting rapidly to new business environments.

Source: NVIDIA, T-Mobile and Partners Integrate Physical AI Applications on AI-RAN-Ready Infrastructure 

Meta Expands Focus on AI Wearables with Updates to AR Glasses Development

Meta increases its commitment to artificial intelligence wearables with recent advancements in its augmented reality glasses technology. The company develops augmented reality devices through its Orion prototype project. The company works on this project to develop advanced AI-powered immersive devices that will replace smartphone technology. 

The latest updates show how Meta combines artificial intelligence with augmented reality to develop devices that function as advanced visual systems, capable of comprehending and reacting to their surroundings in real time.  

A Shift Toward Wearable Computing  

The tech industry is moving toward wearable computing through Meta’s investment in AR glasses, signalling a complete shift in technology. Companies are seeking new devices that better fit daily activities, while smartphones maintain their market leadership.  

AR glasses are potential successors that can either replace traditional screens or serve as additional display options. The devices project digital content directly into users’ field of view to help them stop using handheld devices.  

Meta develops a system that uses lightweight components to ensure uninterrupted operation and allows users to interact with AI systems that deliver contextual support without requiring specific instructions.  

Orion and the Vision for True AR  

The Orion AR glasses prototype is the main focus of Meta’s ongoing development work. The Orion project represents the company’s most sophisticated wearable research programmed, aiming to deliver Meta’s definition of authentic augmented reality experiences.  

Orion establishes a new standard for augmented reality devices by leveraging built-in advanced optical systems, sensor technology, and processing power to deliver its functionality in a compact form factor. The project aims to develop a system that delivers accurate digital content with near zero latency in real-world environments.  

The system projects interactive components, which include notifications, navigation cues, and contextual information, directly into the user’s environment to provide a more lifelike and immersive experience.  

The Role of AI in AR Glasses  

Meta uses artificial intelligence to develop its augmented reality AR system. The company is developing artificial intelligence systems that will analyse user surroundings to deliver real-time, relevant information.  

The system will enable users to identify physical objects and understand spoken instructions while delivering contextual information based on their current visual experience. Meta plans to develop a device that uses artificial intelligence and augmented reality to serve as an active assistant rather than a standard display.  

Artificial intelligence integration enables users to experience customised content. The system learns user preferences and patterns, which enables it to deliver a better user experience through system improvements.  

Hardware Challenges and Innovation  

The process of creating AR glasses that balance strong performance and practical usability presents multiple major technical obstacles. The device needs to achieve three objectives, which include performance, battery life, and user comfort, while keeping a small form factor.  

Meta achieved progress in its Orion project through advancements in display technology, sensor systems, and power management solutions. The creation of compact visual systems requires the development of new optical technologies, while these systems require real-time data processing to maintain operational efficiency.  

The company is researching advanced input techniques, including gesture controls and neural interfaces, that will work alongside existing interaction methods. The purpose of these developments is to create AR glasses that users can operate more intuitively during their daily activities. 

Privacy and Social Considerations  

The use of AR glasses as wearable technology poses major challenges that must be addressed for people to accept them. The technology needs to resolve privacy issues because it collects and analyses environmental information from its surroundings.  

Meta has confirmed the existence of these difficulties, but its team is developing privacy protections that it will implement in its product designs. The system requires protection through limited data-collection methods that allow users to control their personal information while maintaining operational transparency.  

Another aspect that influences social acceptance exists. For AR glasses to succeed, they must be comfortable not only to wear but also to use in public settings without causing discomfort to others.  

Competing in the AI Wearables Market  

Meta is not the only company developing wearable devices with artificial intelligence capabilities. Major technology companies are developing wearable artificial intelligence technologies through separate efforts that combine artificial intelligence with physical devices.  

Meta establishes its unique position through dedicated efforts to build an entire augmented reality ecosystem that leverages its existing virtual reality and metaverse development work. The company established its augmented reality goals based on its previous experience creating immersive technologies.  

The need to compete with other organisations for business will require companies to develop better products through design enhancements and operational improvements.  

Implications for Users in the United States  

United States users will experience a technological transformation as the development of AR glasses changes their daily interactions with technology. Users will use wearable systems that provide information throughout the day without needing to touch their devices.  

The system will affect all human activities because it enables people to navigate their environment and communicate with others while using their devices for work and leisure. The implementation of AI technology creates additional opportunities by enabling users to engage with systems that demonstrate advanced cognitive abilities and can understand diverse situations.  

The success of technology requires three main elements: price accessibility, user experience, and public confidence in the technology.  

The Future of AR and AI Integration  

Meta continues to invest in AR glasses because it believes that wearable computing will become an essential technology for the upcoming years. The company develops devices that provide users with both interactive virtual experiences and smart technological abilities through its combination of augmented reality and artificial intelligence.  

The company needs to address both technical issues and user concerns to achieve successful results with this method. AR glasses could become essential components in the development of personal computing devices for future generations if they succeed.

Source: Introducing Orion, Our First True Augmented Reality Glasses 

Tesla Continues Optimus Robot Development for Industrial Applications

Tesla is advancing its Optimus humanoid robot, targeting deployment in factory settings. The objective is to revolutionize manufacturing and logistics by autonomously handling repetitive, physically intensive tasks. Tesla is transitioning from displaying prototypes to integrating robots in its own production lines.  

Current Development & Industrial Deployment 2025-2026 

  • Tesla started using its Gen 2 Optimus robots for pilot tests inside its factories. These robots help with tasks such as moving parts and simple assembly, working alongside human workers.  
  • Tesla plans to start production of the Optimus Gen3 V3 in summer 2026. The company expects to make several thousand robots in 2025, increase production in 2026, and reach 10 million units per year by 2027.  
  • At the We-robot event in October 2024, Tesla showcased more agile Optimus robots. These models could walk autonomously and handle objects such as battery cells.  
  • Tesla intends to begin commercial sales of Optimus robots to external companies for industrial use in late 2026. The company has set an initial target price of approximately $30,000, which it markets as less than the cost of a car.  

Technical Focus And Focus Areas 

  • The Optimus robot uses AI based on Tesla’s full automated driving technology. The next Gen 3 model will offer better fine-motor control, with hands that have 22 degrees of freedom to perform more complex tasks.  
  • Tesla is teaching Optimus through learning by demonstration. The robot learns tasks by watching people perform them, with help from data-collection operators.  
  • Even with fast progress, there are continuing technical challenges. These include improving the robot’s dexterity, reliability, and ensuring it can work quickly and consistently in factories.  

Long-term Vision 

Elon Musk has said that Optimus could become an even bigger product for Tesla than its electric cars. Tesla aims for Optimus to change global labor markets, reduce the need for people to do dangerous jobs, and eventually transition from business applications to direct consumer sales. The company envisions a future where Optimus robots work alongside people in homes and businesses.  

Optimus Gen 3, also known as V3, is expected to look extremely life-like, according to Musk. Because of this, Wall Street is revising forecasts to predict major revenues from humanoid robots. Meanwhile, roboticists emphasize that dexterity, safety, and cost remain significant challenges.  

To provide context for the upcoming launch, this article presents a review of the project’s timeline, production plans, market landscape, and technical challenges. It also addresses investor expectations and discusses prospective employment opportunities arising from Tesla’s AI initiative.  

Confirmed Optimus Timeline Milestone 

Tesla’s October 22 statement provided the most specific schedule to date. Musk said, “We look forward to unveiling Optimus V3 probably in Q1, hinting at a February event. Analysts now expect a key public test of Tesla’s humanoid robots in early spring 2026.  

First-generation production lines are already being set up at Fremont and Giga, Texas, according to Tesla’s investor materials. As a result, Tesla will test several thousand robots at its own facilities during 2025. These tests will help prepare for the goal of producing 1 million units later.  

While the timeline now appears solid, risks remain in carrying out the plan. To better understand Tesla’s approach, we next consider the company’s large-scale goals.  

Tesla-Scale Ambitions Stated 

Musk reiterated targeting 1 million units soon and a $30,000 price per robot for outside customers, aiming to reshape factory automation.  

To reach the $30,000 price target, Tesla needs to reduce costs and improve its supply-chain management for robot parts and materials. The company plans to leverage its experience in drivetrain design the mechanical systems that transfer power from a vehicle’s engine to its wheels to standardize robot components and lower electronics costs. Executives say these steps could bring production costs down to about $20,000 per robot, keeping profits strong.  

Suppliers warn that producing 10,000 parts per robot may challenge the 1 million-unit goal. Tesla says making more parts in-house will help and highlight its unique combination of AI, hardware, and manufacturing.  

These ambitious goals do not resolve technical or safety challenges. Reliable humanoid robot development requires careful management and logistics.  

Critical Manufacturing Hurdles Ahead 

Constructing a single walking robot is far easier than mass-producing millions. Rodney Brooks recently described the current hype as a humanoid robot bubble, identifying dexterity as a major unresolved issue. Advanced active sensors and reliable joint designs remain under development and are not yet standard.  

Each Optimus contains about 10,000 parts, most of which are custom-made for Tesla. Delays from any supplier can halt production. Musk told analysts that ramping up output will be limited by the slowest part of the process.  

Other important factors, such as battery life, heat control, and durability in the event of falls, also require thorough testing before widespread adoption. The upcoming prototype will indicate which challenges remain directly impacting the revenue forecasts discussed below.  

Global Market Forecast Variances 

Market researchers disagree about future demand. Grand View Research estimates humanoid robot sales will reach $4.04 billion by 2030, which is a prudent forecast. On the other hand, ABI Research predicts multi-billion dollar revenues sooner, assuming factories adopt robots quickly.  

Tesla’s goal of producing 1 million robots is well above either forecast. Management also projects a long-term price of $30,000 per robot, which could translate into $30 billion in annual hardware revenue. Because of this, some investors believe Optimus could eventually surpass Tesla’s car business.  

Skeptics highlight concerns regarding price, production scale, and regulatory compliance, which may slow adoption. Despite these viewpoints, market estimates indicate potential double-digit growth for manufacturers of humanoid robots. The following section presents expert perspectives on project feasibility.  

Independent Expert Skepticism Mounts 

Rodney Brooks says robot hands remain the biggest weakness. He points out that, after decades of research, there is still no affordable, reliable way to handle systems with 10,000 parts. Brooks also questions whether Musk’s $30,000 price target includes warranty and liability costs.  

Other experts note that there are no clear approval procedures for robots used in surgery or in public spaces. At the same time, safety officials will need to check how robots handle faults, emergency stops, and cybersecurity. Because of this, using robots outside Tesla’s own factories could take several more years.  

Expert warnings make people more cautious about humanoid robots, yet the potential remains. Next, we examine how success in this area could transform other industries.  

Wider Strategic Industry Impact 

If Tesla keeps on track, Optimus should change how work is divided in car logistics and electronics factories. This might lead factories to redesign their lines to accommodate teams of people and robots, as in early collaborative robots. Consultants already estimate that adding 1 million robots could boost productivity by 20 to 40 percent.  

A steady $30,000 price could make Optimus cheaper than many older automation systems. Start-ups such as Figure AI and Apptronik are trying to form partnerships before Tesla grows larger. Meanwhile, established robotics companies focus on specialized markets instead of high-volume sales.  

In light of the anticipated industrial impact, regulatory agencies are expected to develop new standards for humanoid robots operating in shared environments. Economic incentives could expedite regulatory processes. The evolving demand for scalable robotics solutions is discussed in the following segment.  

Essential Upskilling for Engineers 

Robotics engineers, operators, and operations managers need to upgrade their skills before humanoid robots become common. Understanding AI safety and mechanics will help people advance in their careers. Professionals can boost their knowledge by earning the AI Robotics certification supported by industry groups.  

Maintenance technicians will also be needed to understand how to diagnose problems with 10,000 parts and use predictive analytics, which involves using computer models to forecast potential failures before they occur. Training programs are now available at partner colleges and at Tesla’s own schools. Those who learn these skills early may get leadership roles in future factory automation projects.  

As technology advances, training programs must keep pace. To conclude, here is a summary of the current situation and what to expect going forward.  

Tesla’s Optimus Gen 3 skill marks any potential for humanoid robots. The company intends to produce 1 million units at $30,000 each with smooth integration into factories. Still, the complexity of 10,000 parts, safety approvals, and unclear demand could cause delays.  

If Tesla achieves its objectives, the global factory landscape could undergo a significant transformation. Industry professionals are advised to monitor prototype demonstrations and pursue ongoing education. Obtaining relevant certifications may benefit those preparing for the next generation of automated factories.

Source: Tesla Optimus Gen 3 Spurs Humanoid Robotics Development Leap 

Microsoft Unveils Security Copilot Agents to Counter Rising AI Attacks

Today, organizations must secure AI to strengthen their defenses. At Microsoft, we help protect the future with our AI-first end-to-end security platform.  

A year ago, we launched Microsoft Security Co-Pilot to help defenders quickly detect, investigate, and respond to cybersecurity threats. Now we are introducing the next step: AI agents capable of handling key tasks. For example, phishing, data security, and identity management are distinct. As cyberattacks become more frequent and complex, using AI agents is now vital for modern security.  

Phishing attacks remain among the most common and harmful cyber threats. From January to December 2024, Microsoft found over 30 billion phishing emails targeting customers. This huge volume can overwhelm security teams that rely on manual work and separate tools, making it hard to quickly assess threats and use data to manage risks.  

The new phishing triage agent in Microsoft Security Copilot can handle routine phishing alerts and attacks. This lets human defenders focus on more serious threats and preemptive security measures. This is one example of how agents can change security.   

Securing and managing AI is still a top priority for organizations. We are moving forward with new solutions and updates in Microsoft Defender, Microsoft Intune, and Microsoft Purview.  

Keep reading to discover more about these new agents in Security Copilot, as well as the latest updates in AI security, as we expand on the next capabilities of our platform.  

Expanding Microsoft Security Co-Pilot With New AI Agent Capabilities 

Microsoft Threat Intelligence now processes 84 trillion signals per day, underscoring how quickly cyberattacks are growing, including 7,000 password attacks per second. To keep up, scaling defenses with AI agents is a must. Next, we are adding 6 new security agents from Microsoft and 5 from our partners, all available for preview in April 2025.  

Six New AI Agent Solutions From Microsoft Security 

These six new security Copilot agents help teams handle substantial volumes of security and IT risks independently and work seamlessly with Microsoft security tools. Built for security, the agents learn from feedback, integrate with existing workflows, and follow Microsoft’s Zero Trust framework, with teams in control. Agents speed up responses, focus on the most important tasks, and help organizations protect themselves more efficiently.  

The security Copilot agents will be available throughout the Microsoft Security platform and are designed for these users.  

  • The Phishing Triage Agent in Microsoft Defender sorts phishing alerts to identify real threats, explains its actions, and improves with admin feedback. It aids triage and data loss prevention, and manages critical incidents across Microsoft Purview, with continuous improvement based on feedback.  
  • The Conditional Access Optimization Agent in Microsoft Entra watches for new users or apps that aren’t covered by current policies, identifies needed updates to close security gaps, and suggests quick fixes that identity teams can apply with a single click.  
  • The vulnerability remediation agent in Microsoft Intune tracks security vulnerabilities and proposed fixes, assists with application and policy problems, and rapidly deploys Windows OS updates once administrators approve them.  
  • The threat intelligence briefing agent in Security Co-Pilot automatically compiles and distributes tailored intelligence reports for each organization, factoring in their specific needs and risk profiles. Security Co-Pilots’ new agent features show how we keep innovating by building on years of AI research. Explore these agents to empower your security team and take the next step toward stronger protection.  

5 New AI Agent Solutions From Microsoft Security Partners 

Security is a team effort, and Microsoft is committed to supporting our security ecosystem through an open platform that enables partners to build on and deliver value to customers. Partners with this in mind, these five partner AI agents will be available in Security Co-pilot.  

  • The Privacy Breach Response Agent by OneTrust reviews data breaches and provides the Data Privacy Team with guidance on meeting regulatory requirements, responding to cloud connection outages, and handling failures.  
  • The SecOps by BlueVoyant evaluates security operations centers, controls, and workflows, and then suggests targeted improvements to enhance operational effectiveness and compliance.  
  • The alert triage agent from Tanium provides analysts with relevant context, enabling them to quickly and confidently make decisions about each security alert. This reduces response times and helps analysts focus on high-priority risks, increasing their overall impact.  
  • The task-optimizer agent from Fletch helps organizations predict and rank the most important cyber threat alerts, reducing alert fatigue and improving security.  

Learn more about Security Co‑Pilot agents and learn how to get started today. If you already use Security Co‑Pilot, join our Customer Connection Program now to receive the latest updates and be part of our ongoing improvement efforts.  

New AI-Powered Data Security Investigations And Analysis 

We are introducing Microsoft Purview data security investigations to help security teams quickly identify and address risks related to sensitive data exposure. These investigations use AI-powered deep content analysis to identify sensitive data and other risks associated with incidents. Investigators can use these understandings to work securely with partner teams and make more complex tasks easier and faster, thereby supporting mitigation. This solution connects data security investigations to Defender incidents and Purview insider risk cases and will be available for preview starting April 2025.  

Further Advances in Securing and Governing Generative AI 

A strong cybersecurity foundation is vital for successful AI transformation. As organizations adopt generative AI, it becomes urgent to secure and manage its use in the workplace. Our new report, Secure Employee Access in the Age of AI, shows that 57% of organizations have experienced more security incidents due to AI use. Yet 60% have not started putting controls in place, even though most know they need them.  

Securing AI remains a new challenge, and leaders have specific concerns. They want to prevent data oversharing and leaks, reduce new AI threats and vulnerabilities, and keep up with changing compliance rules. Microsoft Security Solutions are designed for AI to help organizations tackle these issues. We are announcing new advanced features to help organizations protect their AI investments, whether they use Microsoft AI or other AI tools. tools.  

AI Security Posture Management for Multi-Model and Multi-Cloud Environments 

Organizations building their own AI solutions need to strengthen security for AI models running on different platforms and clouds. To help with this, Microsoft Defender now offers AI Security Posture Management not just for Microsoft Azure and Amazon Web Services but also for Google Vertex AI and all models in the Azure AI Foundry Catalog. Starting in May 2025, this coverage will include Gemini, Gamma, Meta Llama, Mistral, and custom models. With new multi-cloud support, organizations will have better visibility into AI security from code to runtime across Azure, AWS, and Google Cloud. Microsoft Defender helps organizations get started with AI security across different models and clouds.  

New Detection and Protection for Emerging AI Threats 

AI introduces new risks, including more avenues for cyber attacks and unidentified vulnerabilities. The open worldwide application security project OWASP presents the top risks and solutions for generative AI apps. Starting in May 2025, Microsoft Defender will offer new and improved AI detections for several OWASP-identified risks, including direct prompt injection attacks, sensitive data exposure, and wallet abuse. These new detections will help SOC analysts better protect custom AI apps with added safeguards for the Azure OpenAI service and models in the Azure AI Foundry Catalog.  

New controls to prevent risky access and data leaks into covert AI apps 

As more people use generative AI, many organizations are finding that employees are using AI apps that have not been approved by IT or security teams. This unapproved use, known as shadow AI, has greatly increased the risk of sensitive data leaks. To help manage this, we are announcing the general availability (GA) of an AI web category filter in Microsoft Intune Internet Access. This feature lets organizations set detailed access controls to prevent shadow AI by deciding which users and groups can access different types of AI apps. 

Once AI app access policies are in place, the next step is to prevent sensitive data from entering these apps. To help, we’re launching a preview of Microsoft Purview Browser Data Loss Prevention (DLP) Controls in Microsoft Edge for Business. This feature helps security teams enforce DLP rules to prevent sensitive data from being entered into generative AI apps, including ChatGPT, Copilot Chat, DeepSeek, and Google Gemini.  

For a broader view, learn more about our latest innovations in AI security.  

New Phishing Protection In Microsoft Teams For Safer Collaboration 

Email is still the main way phishing attacks happen, but collaboration tools are now common targets too. Starting in April 2025, Microsoft Defender for Office 365 will protect users in Teams against phishing and other advanced threats. With built-in protection, Teams will be better guarded against harmful links and attachments, including instant scanning. SOC teams will also have full visibility into related attempts and incidents through alerts and data in Microsoft Defender.  

Agile Innovation To Build A Safer World 

We are always working to improve Microsoft’s security portfolio by following the principles of our secure future initiative. Our goal is to provide strong, complete protection and give defenders the best AI tools so every organization can secure and manage AI. We appreciate our customers and partners, and together we look forward to creating a safer world for everyone.

Source: Microsoft unveils Microsoft Security Copilot agents and new protections for AI 

Google Launches Gemini-Powered Agentic SoC to Automate Threat Triage

Our News Today From the RSA Conference 

  • We have completed the acquisition of Wiz to give cybersecurity teams more tools and support across multiple cloud providers in today’s fast-moving AI world.  
  • Building on this momentum, Mandiant and new MTrends 2026 research, along with a special report on AI risk and resilience, are now available. These can help organizations understand today’s threats and keep defenses up to date.  
  • In addition to these research updates, we are adding new agents to the agent SOC so defenders can focus on the most important tasks.  
  • We are also introducing our latest security updates in Chrome Enterprise, Security Command Center, Network Management, and other areas, enhancing our overall suite of defenses.  

In summary, AI-driven defense is transforming cybersecurity in ways defenders have long thought. Google Security is bringing its strongest tools yet to the RSA Conference, with the Agentic Security Operations Center as our base and advanced Gemini models. We’re giving defenders a major advantage.  

Today, we are sharing updates across our products, including new developments with Wiz. The release of M-Trends 2026, which contains insights from Mandiant’s investigations and important changes in how we use threat intelligence. Keep reading to see how Google Security can help you stay ahead.  

Welcoming Wiz to Google Cloud 

Google has now officially acquired Waze. Together, we will create a complete AI-ready cybersecurity platform to protect your organization across all cloud environments.  

We believe simpler multi-cloud security helps you innovate confidently anywhere your data and apps are. We’re excited to show how Wiz AI Application Protection Platform enables organizations to adopt AI quickly and securely. Their security agents help teams work faster. You can learn more about our mission from Google Cloud CEO Thomas Kurian.  

M-Trends 2026: Useful Insights From the 500k-Plus Hours of Incident Investigations 

Today, we released M-Trends 2026 to help organizations understand the changing threat landscape. It helps keep defenses up to date. Mandiant is seeing both fast handoffs and initial access, as well as long-term, stealthy intrusions.  

Adversaries are doing more than just stealing data. Cybercriminals now operate like efficient businesses and form partnerships. They have cut defenders’ response time from hours to just 22 seconds. Their goal is to stop organizations from restoring operations and increase their leverage for extortion. Download the report for useful insights.  

We’ve also published a new Mandiant report on AI risk and resilience. It examines how adversary behavior and enterprise defense intersect, using exclusive 2025 data from Mandiant Consulting and the Google Threat Intelligence Group. The report shows that adversaries have moved from testing AI to using adaptive tools and autonomous agents. These agents can rewrite their own code in real time.  

To address these risks, particularly amid the rise of shadow AI and limited asset visibility, organizations should go beyond passive oversight. Regularly test your models and agents while making full use of the speed and analysis that AI-powered defense provides.  

Agentic Defense With Google Security 

When attacks happen as fast as machines can operate, defenses need to keep up. Traditional playbooks commonly fall short against new threats with agentic automation. Now, in preview, Google Security Operations lets security teams boost automated actions by using agents. This approach unites flexible AI with reliable automation.  

Users of Google Security Operations can add agents, such as our triage and investigation agent, directly into their procedures to speed up response times. This agent automatically investigates, alerts, collects evidence, and gives clear explanations for its decisions.  

This helps security analysts automate decision-making, close alerts, and manage fixes, so they can focus on the most important tasks rather than false alarms. Building workflows that use this agent also makes it easier for teams to coordinate their response.  

Few would argue that the progress made over the past 12 to 18 months in putting AI to work to improve security operations is remarkable. New research from Omdia shows that 89% of CISOs are pushing to accelerate the adoption of agentic security, said David Gruber, principal analyst, cybersecurity, Omdia.  

Not only does this commitment reflect the immediacy of combating an AI-enabled adversary, but our data also show that over half of cybersecurity practitioners believe that agentic AI offers a greater advantage to cybersecurity defenders than the adversary, with the prospect of substantial improvements in security outcomes. Google Cloud is ideally placed to help organizations transform their SOCs with this powerful new technology, he added.  

Customers can now create their own enterprise-ready security agents using Remote Model Context Protocol, which will be available in early April. They no longer need to host their own MCP server client, making it easier to manage and control the security agents they develop.  

Bringing AI Precision to Dark Web Intelligence 

Most threat intelligence teams today spend their days sorting through a flood of low-quality alerts. The main problem is not too little information but too little relevant information.  

To help teams find useful intelligence and spot hidden threats, we have added agentic features to Google Threat Intelligence by letting a set of AI agents built with the latest Gemini models handle data review and help edge analysts move past the limits of manual research, focusing on the matters that matter most. As part of agentic defense, we are introducing dark web intelligence in Google Threat Intelligence. Our GTI analysts, who are firmly embedded in the dark web, help provide essential context that complements Gemini’s capabilities. This new capability builds on this expertise while using the newest Gemini models to autonomously build a nuanced profile of our organization.  

Our internal tests show that this tool can review millions of external events each day with 98% accuracy, highlighting only threats that really matter to your organization. By providing clear explanations for each threat, we help defenders save time and stay ahead in a world where threats are increasingly automated.  

Now, customers can turn large amounts of dark web data into clear, relevant insights using AI. This helps your team think and act faster than opponents who use agents.  

In previous roles, I’ve leveraged several dark web tools, and they’ve averaged over 90% false positives. The new dark web intelligence filters out this noise and connects the dots that no human analyst could see in time. “It is the difference between reacting to a wildfire and putting it out before the match is struck,” said Michael Kosak, director, Threat Intelligence, LastPass.  

By shifting from simple keyword matching to intent-based analysis, dark web intelligence can better understand what adversaries are doing. For example, it can stop activity when a subsidiary’s access is compromised, even if the attacker avoids naming the victim.  

Protecting your AI Innovation 

You need an agile defense to quickly protect your organization and safeguard your AI innovation. As organizations move from testing AI to using it at scale, many feel unsure about their ability to keep AI secure. In fact, 72% of organizations lack confidence in their AI security strategy, according to a recent survey by the Cloud Security Alliance (CSA) and Google.  

Google Cloud can help address this shortfall by providing a comprehensive approach to AI security. We protect every stage from building to running AI and cover everything from infrastructure and data to models and agents.  

To help meet these challenges, we offer customers new key capabilities:  

  • To help address these problems, we now offer customers several important new features, including a new engine to detect agentic threats such as authorized/unauthorized entry and agent-initiated data exfiltration attempts.  
  • Model Armor now integrates with Google MCP servers, expanding its coverage to help mitigate agentic risks, including direct and indirect prompt injections, sensitive data leakage, and tool poisoning.  
  • Sensitive data protection now offers a new set of AI-powered contact classifications, such as medical and finance, and object detections, including faces and passports.  
  • Security Command Center External Exposure Management available soon in preview will provide SCC users with a validated outside-in view of your Google Cloud attack surface, identifying exploitable vulnerabilities and showing the native network path enabling the exposure to the Security Command Center. Oh, yeah.  

What’s New in Network Security? 

Google Cloud has added new features to its network security tools to help protect your critical applications and maintain consistent security policies across different clouds.  

  • Network security integration in band mode, now generally available, enables customers to secure application workloads using third-party network appliances without modifying existing routing policies or network architecture.  
  • Cloud NGFW regional network firewall policies, now in preview, allow you to add regional firewall policies to internal application load balancers and internal proxy network load balancers to protect your workloads.  
  • Cloud Armor now includes new features, such as hierarchical security policies and organization-wide address groups. This helps you centrally manage security and strengthen your defenses. You can set inspection limits for your WAF rules, create security policies at different levels, and manage IP lists across multiple Cloud Armor policies using organization-wide address groups.  

What’s New in Chrome Enterprise Premium? 

Chrome Enterprise Premium still helps organizations prevent data loss with advanced secure browsing. At the RSA Conference, we are showcasing new enhancements and integrations with our partner, Citrix.  

  • Enterprises already benefit from Chrome Enterprise’s ability to block unauthorized use of AI tools in the browser. Now, Citrix and Chrome Enterprise together offer even more protection, including key logging defenses and ongoing device checks.  
  • Clipboard protections now work with both Citrix Virtual Apps and Web Apps. Chrome Enterprise’s new browser cache encryption also adds security for devices that aren’t allowed by the company.  

Join Google Security at RSAC 2026. 

Meet our experts in Mosone’s North Hall Booth N6062 or the Marriott Marquis and experience over 19 future-focused cybersecurity sessions with us. Don’t miss out. Secure your spot today.  

Discover how Google can support your security team. Join us at RSAC livestream sessions or access content on demand. Take the next step to strengthen your security with Google today. 

Source: RSAC ’26: Supercharging agentic AI defense with frontline threat intelligence 

HP Introduces New Hardware Protections for Enterprise Device Security

New Highlights 

  • HP introduces the first hardware solution to block physical TPM bus attacks, closing a known security gap in BitLocker.  
  • HP strengthens PC security with new features in HP Wolf Security.  
  • HP unveils a new LaserJet lineup with quantum-resistant security.  

On March 24, 2026, at HP Imagine in New York, HP launched HP TPM Guard, the first hardware solution created to stop physical TPM bus attacks. This enables business notebooks to prevent physical access attacks that could bypass BitLocker drive encryption. HP also announced updates to its HP Wolf Security PC lineup and expanded quantum-resistant security to more HP printers.  

Closing the BitLocker Security Gap With HP TPM Guard 

PCs play a central role in today’s hybrid work environments, storing large amounts of sensitive information, including confidential documents, credentials, and customer or employee data. As AI applications process more voice, video, and screenshots, the amount of sensitive data on PCs continues to grow.  

Many businesses rely on BitLocker to encrypt data if a PC is stolen or lost. However, recently discovered vulnerabilities allow attackers with physical access to bypass BitLocker protection using TPM bus attacks. These attacks tap into the communication channel between the Trusted Platform Module (TPM) and the CPU, intercepting encryption keys or sensitive data. Attackers can execute this in under a minute using inexpensive tools and minimal training.  

HP TPM Guard addresses this threat by establishing an encrypted connection between the TPM and CPU, preventing interception and probing attacks. The TPM is securely tied to the device, so it will not work if removed or tampered with. This closes a major security gap without complicating IT teams’ work.  

Dr. Ian Pratt, VP, Security and Communications Systems, CTO, Personal Systems, HP Inc., said PCs already hold huge amounts of sensitive information, and new multimedia AI applications are pushing more sensitive workloads to the edge. The security of the underlying PC platform is increasingly critical to the future of work. While BitLocker has previously been relied upon to protect data, today, an attacker with a couple of hours of training and a $20 hardware kit can bypass that protection.  

Dr. Ian Pratt said HP, together with silicon partners, developed hardware and firmware to prevent these attacks, delivering the stronger protection customers expect. He stated this solution addresses an industry-wide issue relevant for all organizations handling sensitive data.  

HP TPM Guard is the newest security innovation from HP Security Lab, which has been developing solutions for over 20 years. HP now works to spot new threats, build solutions for its products, and work with industry groups to improve security standards. HP has already proposed making TPM Guard technology an industry standard through the Trusted Computing Group.  

To read about the engineering behind HP TPM Guard, please visit this blog.  

New HP Wolf Security Capabilities To Reduce Cost And Risk For Businesses 

HP is also enhancing security on its commercial PCs by introducing new features to HP Wolf Security, designed to connect the Workforce Experience Platform (WXP), HP Wolf Security, and Enterprise Systems more effectively. These updates aim to simplify management, reduce operational costs, and lower cybersecurity risks. The new features include the following.  

  • Wolf controller/WXP integration to reduce risk and operational friction.  
  • The next-generation Wolf Connect cellular card offers improved tracking accuracy while consuming less power.  
  • Support for a broader range of devices on the Sure Recover platform is now available at a reduced cost.  
  • Centralized security log collection is now managed through the Wolf controller, streamlining security oversight.  

Quantum Resistance: The Future Of Print Security 

Experts estimate up to a 34% chance that quantum computers could break current public-key encryption methods by 2034. This threat increases the urgency for cryptography that can withstand quantum attacks. Printers are frequently targeted as entry points to networks. So, HP is implementing quantum-resistant cryptographic algorithms in more devices to secure documents and network access.  

  • The new HP LaserJet Pro 4000–4100 series are the first SMB printers to offer quantum-resistant protection, as well as tamper-resistant toner chips, firmware, and packaging. The HP Force Experience Platform and optional HP Security Manager help make security compliance and device management easier across all devices.  
  • The new HP LaserJet Enterprise 5000-6000 series is the first enterprise printer to feature built-in protection against quantum computer-based attacks, reducing the risk of data exposure. These printers use HP Wolf Enterprise to detect, isolate, and automatically recover from cyberattacks and are the only printers with zero-day threat identification and recovery during memory code execution.  

The HP LaserJet Enterprise 6000-6000 series will also offer automated guided redaction, which identifies and removes sensitive information such as personal or financial data. This helps organizations meet compliance requirements without adding extra work to IT teams.  

You can find more information about today’s announcements from HP Imagine here. 

Source: HP Imagine 2026: HP Leads Security for the Future of Work with Launch of HP TPM 

Samsung Releases March 2026 Security Updates for Galaxy Devices

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 Introduces Updated AirPods With Enhanced Audio Intelligence Features

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 

HP EliteBook 6 G2Q Debuts With AI Processing and Long Battery Life

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