Phishing protection encompasses cybersecurity solutions designed to help organizations detect, prevent, and respond to phishing attacks before they result in data breaches. Modern phishing threats extend far beyond deceptive emails, spanning impersonation, cloned websites, session hijacking, and real-time credential harvesting. With AI-generated phishing attacks rendering traditional detection methods increasingly ineffective, businesses need adaptive, multi-layered protection strategies. Today's phishing protection tools operate across the full attack chain — securing inboxes, browsers, and spoofed websites — to identify and block malicious attempts to steal sensitive information. Explore the latest phishing protection technologies and best practices to keep your organization safe.

Discover how AI deployment in financial services has reached a tipping point, with only 2% of institutions reporting no AI use. New Finastra research across 1,509 senior leaders reveals Singapore is leading the charge, with nearly two-thirds deploying AI in production environments. Learn how 73% of Singapore institutions have advanced AI in payments technology — nearly double the global average.

McDonald's is testing an AI-powered drive-thru system called ArchIQ, nicknamed "Archy," currently being piloted at five U.S. locations. The system can greet customers, process orders in English and Spanish, handle order changes, and display totals — all without human intervention. With over one million transactions processed and approximately 90% completed without staff escalation, ArchIQ also recognizes repeat customers and recalls their usual orders. Introduced at McDonald's Worldwide Convention, this innovation signals a major step toward AI-driven restaurant operations.

Discover how Apple unveiled Siri AI at WWDC 2026, a completely rebuilt intelligent assistant designed to fix the frustrations of past search and AI limitations. Apple's VP Stacey Ford highlighted Spotlight improvements alongside the long-awaited Siri overhaul, marking a pivotal moment in Apple's AI ambitions. Learn what's new and why this redesigned Siri could change how you interact with your Apple devices forever.

Autonomous AI agents are transforming software development while introducing critical security risks that traditional defenses can't address. In 2025, major DevOps platforms recorded 68 AI-related security incidents, including prompt injections and credential exfiltrations, with incidents accelerating throughout the year. Unlike external threats, the danger now comes from authorized internal tools capable of causing widespread damage faster than security teams can respond. Access controls alone are insufficient once an agent is authenticated. Discover how the evolving AI threat landscape is reshaping DevOps security strategies and what organizations must do to protect their systems in the 2026 DevOps Threats Unwrapped Report.

Signing PDFs is essential for businesses and individuals managing contracts, legal agreements, and forms. While online PDF signers have made the process easier, common challenges remain, including file compatibility issues with encrypted documents, ensuring document security against tampering, and maintaining legal compliance for electronic signatures. Understanding these obstacles helps users prepare for a seamless and secure PDF signing experience. Discover the best practices and tools to sign PDFs online efficiently and safely.

Weis Markets is partnering with Instacart to introduce AI-powered Caper Carts at select Pennsylvania store locations. These smart shopping carts feature camera sensors, certified scales, location-tracking systems, and a touchscreen display, enabling seamless in-aisle checkout and item recognition. Powered by edge computing and cloud AI trained on over 1.6 billion grocery orders, Caper Carts allow shoppers to monitor spending in real time, access location-based digital coupons, and earn Weis Rewards loyalty benefits directly from the cart. Customers can sign up for a Weis Rewards account through the cart screen and redeem personalized offers while shopping, enhancing the overall in-store grocery experience.

Aviva uncovers a record £230 million in insurance fraud as scammers use AI to generate convincing fake accident scenes. Learn how Aviva is fighting back with its own AI-powered fraud detection tools to combat increasingly sophisticated claims deception.

Alibaba has unveiled RynnBrain, an open-source AI model designed to help robots perceive their environment and execute physical tasks. Developed by DAMO Academy, RynnBrain positions Alibaba alongside Nvidia, Google DeepMind, and Tesla in the rapidly growing physical AI space. Unlike competitors, Alibaba adopts an open-source strategy to accelerate developer adoption, mirroring its successful approach with the Qwen language model family. The move reflects China's intensifying push into robotics, driven by ageing populations and labour shortages. Discover how RynnBrain is shaping the future of physical AI and human-robot collaboration.

Discover how enterprises like e& are transforming HR operations with AI-first models. Learn how Oracle Fusion Cloud HCM and Oracle Cloud Infrastructure are helping large organisations automate workflows, streamline compliance, and manage workforce data at scale across 10,000+ employees.

Anthropic's IPO filing signals generative AI's evolution from research-focused venture to enterprise-ready utility. The move aligns model development with corporate procurement standards, introducing structured release schedules and predictable pricing frameworks essential for long-term business planning. As William Samengo-Turner from A&O Shearman notes, the critical question isn't whether public markets are ready for AI, but whether AI is ready for public markets. This transition directly impacts enterprise consumers integrating Claude into proprietary workflows, as public market structures will formalize pricing tiers, API rate limits, and service agreements. The shift represents a fundamental change in AI development priorities—from maximizing compute performance and rapid iteration to delivering stable, predictable enterprise solutions that align with standard corporate decision-making cycles and multi-year strategic planning requirements.

Microsoft unveils Majorana 2 quantum chip with breakthrough performance: qubits 1,000x more reliable than first-generation models, mean lifetime of 20 seconds versus industry-standard microseconds, and state retention up to one minute. Developed using Microsoft Discovery agentic AI platform, which reached general availability simultaneously, the chip marks a significant milestone toward Microsoft's 2029 goal of commercially scalable quantum computing. The advancement represents a quantum leap in stability—comparable to a phone battery lasting three years instead of one day—positioning Microsoft at the forefront of practical quantum computing development.

Discover how Meta's Business Agent is transforming conversational commerce by automating transactions and customer support directly within Instagram, Messenger, and WhatsApp. Designed for global retail brands, this agentic AI solution goes far beyond basic chatbot functionality — handling purchases, support tickets, and checkout workflows without human intervention. By embedding AI natively into Meta's messaging platforms, businesses can now maintain a persistent digital sales presence at scale, reducing pressure on traditional contact centres while keeping customers engaged within a single app experience. Learn how Meta Business Agent is collapsing the checkout funnel and redefining the future of social commerce.

Shell partners with C3 AI to revolutionize maintenance operations through autonomous AI agents, moving beyond basic anomaly detection to fully-automated predictive maintenance. The energy giant currently monitors over 30,000 critical equipment pieces using C3 AI Reliability Suite across upstream and downstream operations. The expanded partnership enables AI agents to manage the complete maintenance lifecycle autonomously, from initial alerts to completed repairs, eliminating constant human oversight. This transformation optimizes resource allocation and significantly reduces unplanned downtime, delivering hundreds of millions in economic value through enterprise-scale AI operationalization in predictive maintenance.

Discover how Amazon is empowering retailers with its AI-powered Agentic Shopping Assistant, built on AWS. Now available to third-party brands like Kate Spade, this technology enables businesses to deploy customized conversational shopping agents for their websites and apps in just weeks. Leveraging architecture and insights from Amazon's own AI shopping tools — which served over 300 million customers and generated nearly $12 billion in incremental sales — retailers can tailor the assistant to their catalog, brand voice, and customer base. With starter code, AWS expert support, and proven infrastructure, Amazon makes cutting-edge AI shopping technology accessible without years of development.

Microsoft unveiled Autopilot at Microsoft Build, introducing a new category of autonomous AI agents that operate independently on users' behalf. Each Autopilot carries its own identity, enabling multiple agents to run simultaneously under separate rule sets for home and work environments with distinct governance policies. Microsoft's first Autopilot, Scout, is now expanding from internal beta testing to select customers and Frontier organizations. Scout operates natively within Microsoft 365, working across Outlook, OneDrive, SharePoint, and Teams to autonomously schedule meetings, surface key messages, and coordinate data across platforms — marking a significant step forward in agentic AI for enterprise productivity.

Walmart has introduced usage limits on its internal AI assistant, Code Puppy, after employee demand exceeded expectations. Previously available without restrictions, the tool — designed to assist with tasks like spreadsheet analysis and presentation creation — is now subject to token-based usage caps per employee. The policy shift is a cost control measure driven by the transition of large language models (LLMs) from flat-rate subscriptions to pay-per-use pricing. With a workforce of approximately 2.1 million, even minimal per-employee AI usage can generate substantial costs for the retail giant. Walmart continues to encourage staff to leverage AI where it delivers genuine value.

E.ON is modernising its energy infrastructure by standardising grid data through SAP S/4HANA and migrating to cloud ERP. Managing operations across energy grids, customer solutions, and energy infrastructure solutions, the utility giant requires continuous IT investment to maintain stability and resilience. Leadership initially challenged large-scale technology spending, but the engineering team demonstrated that sustained financial commitment ensures long-term system performance and affordability. With growth, sustainability, and digitalisation as core corporate objectives, E.ON recognises that falling behind in technical capabilities carries significant financial risk. Infrastructure standardisation drives improved uptime and enables AI deployments, positioning E.ON to compete effectively in an increasingly digitised energy landscape.

Discover how GitHub Copilot's new token-based billing system, effective June 1, 2026, is impacting developers and organizations worldwide. While subscription prices remain unchanged, credits now determine access to AI models, with many users reporting significantly higher costs compared to the previous flat-rate model. Learn what these changes mean for your software development budget and how to manage your GitHub Copilot usage more efficiently.

Discover how artificial intelligence is reshaping news distribution and journalism's future. As AI-driven search and conversational interfaces become the new "front door" to information, publishers face growing challenges around visibility, trust, and sustainability. Newsweek CEO Dev Pragad explores how AI summarisation is reducing direct traffic to original sources, disrupting the referral patterns that digital journalism has long relied upon — and what media leaders must do to adapt.

Discover how AI is transforming video game development in 2025, with 90% of developers integrating AI tools and a 681% surge in AI-disclosed titles on Steam. Explore groundbreaking applications including Ubisoft's Ghostwriter for NPC dialogue generation, large language models enabling genuine character memory, and real-time adaptive gameplay systems. Learn how AI is revolutionizing smart NPCs, dynamic difficulty adjustment, and branching narratives, fundamentally restructuring the entire game development pipeline from concept to launch.

Discover how automation is transforming forex trading through advanced forex robots that execute trades based on pre-programmed rules. These increasingly refined tools allow traders to participate in financial markets without constant chart monitoring. Learn about the evolution of automated trading systems, their growing sophistication, and how they scan markets for opportunities. Explore the best forex robot reviews to understand current applications and future developments in automated forex trading technology that's making market participation more accessible and efficient for traders worldwide.

Urban Outfitters Inc. (URBN) is leveraging agentic AI to automate weekly performance reporting across its portfolio of brands, including Anthropologie and Free People. By deploying AI systems that analyze store-level data, the retailer generates consolidated weekly summaries for merchandising teams, replacing the manual review of over 20 separate reports every Sunday. This automation streamlines data collection and analysis, allowing staff to focus on decision-making rather than time-consuming data organization. The initiative highlights a growing trend of agentic AI entering everyday enterprise retail operations, offering a practical model for how brands can reduce operational workload while improving the speed and efficiency of business insights.

Debenhams is pioneering agentic AI commerce in the UK through a PayPal app integration, becoming the first UK retailer to test an automated checkout flow within a payment provider's ecosystem. The pilot targets mobile checkout abandonment by enabling shoppers to use natural language prompts to discover products from brands including boohoo, Karen Millen, and PrettyLittleThing. An AI assistant personalizes recommendations based on user profiles, budgets, and preferences, replacing traditional keyword search. The assistant refines options through follow-up questions, and purchases are completed entirely within the chat window — reducing friction and keeping users inside PayPal's ecosystem throughout the shopping journey.

Goldman Sachs is deploying Anthropic's Claude AI model to streamline trade accounting and client onboarding, signaling a broader shift among major banks toward using generative AI for back-office efficiency. Leading financial institutions including JPMorgan Chase, Bank of America, and Citi are already leveraging large language models for tasks such as information retrieval, HR queries, and developer coding assistance. The latest trend focuses on automating operational workflows like document review, reconciliation, compliance checks, and KYC processes — areas traditionally dependent on large human teams. As generative AI moves beyond knowledge work into core operational tasks, banks are finding new opportunities to reduce costs and improve accuracy across complex, high-volume processes.

Alibaba's latest Qwen 3.5 series is reshaping the AI landscape by delivering frontier-level performance on commodity hardware. Closing the gap with leading proprietary models like GPT-5.2 and Claude 4.5, Qwen 3.5 offers enterprises a compelling open-source alternative with lower inference costs and flexible deployment options. Benchmarks show it competing directly on output quality, excelling in browsing, reasoning, and instruction following — making it a serious contender in the global AI race.

Anthropic launches Claude Opus 4.8, an enhanced AI model offering improved performance in coding, agent work, reasoning, and knowledge tasks. Available via claude.ai, Claude Code, and API, the update introduces customizable effort levels that control token usage, dynamic workflows with parallel sub-agents for complex tasks, and live message array modifications in the API without disrupting prompt cache. Pricing remains at $5 per million input tokens and $25 per million output tokens in standard mode, making it a cost-effective solution for developers and enterprises seeking advanced AI capabilities.

Discover how OpenAI's Frontier Governance Framework provides enterprise leaders with a practical blueprint for scaling safe, compliant AI deployments. Aligned with the EU's General-Purpose AI Code of Practice and California's Transparency in Frontier AI Act (TFAIA), this framework outlines structured approaches to systemic risk assessment and mitigation for high-capability machine learning models. Learn how organizations can translate these regulatory requirements into actionable business strategies, ensuring secure and responsible AI deployment pipelines at a global scale.

The NBA is planning to introduce an automated officiating system using AI and court-mounted cameras to handle objective decisions such as out-of-bounds calls. Commissioner Adam Silver, drawing comparisons to tennis's Hawk-Eye tracking technology, announced the initiative following a controversial call in Game 5 of the Western Conference Finals between the Oklahoma City Thunder and San Antonio Spurs. A disputed out-of-bounds ruling involving Victor Wembanyama and Chet Holmgren highlighted the need for greater accuracy. Silver confirmed the league's long-term goal is to remove such objective calls from on-court officials entirely, leveraging advanced technology to improve fairness and consistency in NBA officiating.

Google Pay is undergoing a major infrastructure overhaul to support AI agent-driven transactions. The update introduces the Universal Commerce Protocol (UCP) and a new server architecture, enabling autonomous AI agents to execute purchases without navigating human-facing checkout pages. By replacing UI-dependent processes with a stable, API-driven backend, Google Pay aims to become the central payment hub for machine-initiated transactions — from booking flights to ordering supplies — streamlining how AI agents communicate with merchants and payment systems at scale.

Discover how automated trading systems are transforming the foreign exchange market by replacing intuition with speed, data, and precision. Unlike manual trading, these intelligent tools operate continuously across multiple time zones, processing vast economic data without fatigue or emotional bias. By following clear, rule-based strategies, traders can navigate volatile currency markets more effectively, identifying patterns and pricing gaps that human traders might miss. Explore how embracing intelligent automation can bring greater discipline and structure to your forex trading experience.

Google is retiring its long-standing Display Network Ads, merging them into its AI-powered Demand Gen platform. This shift moves marketers away from manual campaign controls, replacing traditional banner ad targeting with automated, AI-driven placements across YouTube, Discover, and Gmail. Designed to compete with TikTok and Instagram's immersive formats, Demand Gen focuses on generating customer interest before a search query occurs, signaling a major transformation in digital advertising strategy.

Discover how enterprise AI initiatives stall between pilot and production — and what separates successful deployments from the "AI graveyard." Day two of TechEx North America's Enterprise AI Implementation track explored the real challenges of scaling AI: poor data quality, weak process design, limited operating authority, and insufficient risk controls. Sessions covered agentic AI for business impact, the buy-vs-build decision, durable ROI measurement, and autonomous decisioning. The core message was clear — launching an AI pilot is easy; sustaining it requires governance, adoption strategy, and measurable outcomes. Learn what it truly takes to move enterprise AI from experimentation to lasting impact.

Autonomous AI systems are expanding from digital platforms into physical spaces like warehouses and delivery networks, raising questions about whether existing AI regulations adequately address embodied AI risks. Current frameworks primarily focus on online harms such as bias and misinformation, but physical AI systems pose unique safety concerns affecting infrastructure and human wellbeing. Singapore's IMDA released its Model AI Governance Framework v1.5 for Agentic AI in May 2024, providing guidance for organizations deploying AI agents capable of planning, decision-making, and multi-step actions. These agents can interact with tools, external systems, databases, devices, and perform transactions, highlighting the need for comprehensive governance addressing physical-world AI deployment challenges.

American International Group (AIG) reports accelerated benefits from generative AI implementation, surpassing initial expectations in underwriting capacity and operational efficiency. CEO Peter Zaffino revealed that early projections, once considered "aspirational," have been exceeded, with the technology demonstrating "much greater" capabilities than anticipated. The insurer highlights significant improvements in submission processing workflows without requiring additional human resources, marking what Zaffino calls "the biggest surprise." These developments have direct economic implications for underwriting operations and portfolio management. AIG's fourth-quarter earnings disclosures provide concrete evidence of generative AI's measurable impact on throughput and workflow redesign, offering valuable insights for AI decision-makers evaluating enterprise-scale artificial intelligence deployments in the insurance sector.

Infosys, a leading technology services provider, offers comprehensive AI consultation and implementation through its Topaz Fabric platform. Currently engaged with 90% of its top 200 clients, the company manages over 4,600 active AI projects across multiple industries. Infosys's AI implementation strategy encompasses six key areas, including AI strategy and engineering, which focuses on designing business-aligned AI architectures. Their approach integrates AI agents, proprietary platforms, and third-party tools on specialized infrastructure, leveraging strategic partnerships with AI technology providers to deliver both discrete and organization-wide solutions.