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Researchers Disclose AIAssisted SharePoint Exploit Chain Reaching Unauthenticated RCE

The flaw, tracked as CVE-2026–55040 (CVSS 9.1), affects SharePoint Server Subscription Edition, SharePoint Server 2019, and SharePoint Server 2016. Microsoft’s affected-product list covers only those three on-premises editions, and SharePoint Online is not among them.

It lets a remote unauthenticated attacker assume a chosen user’s identity. The attack has one prerequisite: the intruder has to know which account they want to become, either by its Active Directory security identifier (SID) or its user principal name (UPN), which is formatted like an email address.

Rapid7 then chained the bypass to a separate remote code execution flaw and ran code on the server with no credentials. Microsoft and the firm disclosed that second flaw on August 11 as CVE-2026–63520 (CVSS 8.1), an unsafe. NET type instantiation in SharePoint’s Business Connectivity Services.

The AI Future Is for Everyone

Putting power in people’s hands to pursue their own aspirations is how humanity has made the most progress. Novel ideas and major steps forward rarely originate from established institutions alone. They came from the brothers in a bicycle shop who believed people could fly, the bookbinder’s apprentice with no schooling who figured out how to generate electricity, and the kid in a garage who thought personal computers could be for everyone. We believe this will continue to be true. As everyone gains more powerful tools, each person will become more capable of shaping the future, not less.

Invention, not automation, will be the greatest contribution of superintelligence. Early AI could answer questions and do routine work. Soon it will increasingly help discover new knowledge—from discovering new drugs to cure a family member’s disease to finding new ways to improve your business. While the number of questions you can ask in a day is limited, the number of valuable things superintelligence can invent to help achieve your goals is unlimited.

As intelligence becomes abundant, the most important question will be how we direct it. Some argue that superintelligence itself, or a small set of experts who control it, should decide what is best for humanity. I disagree. The history of democracy and economics has shown that there is no single objective answer to how people define the best life, and therefore the best approach is letting people decide what matters to them.

Cloudflare Introduces Precursor; OneClick Behavioral Defense Against Modern Bots

And there is an important reason this doesn’t necessarily mean we’re headed for a “dead Internet.”


Built on one of the world’s largest networks, Precursor is the only defense of its kind to replace disruptive checkpoints to stop evasive bots without slowing down users

SAN FRANCISCO—(BUSINESS WIRE)— Cloudflare, Inc. (NYSE: NET), the leading connectivity cloud company, today announced the general availability of Precursor, a next-generation, continuous behavioral validation engine for bot management. Built directly on Cloudflare’s edge, Precursor runs seamlessly inside web browsers to monitor entire user sessions in order to detect bot automation. Unlike traditional, static CAPTCHAs, it analyzes ongoing interactions in real time to catch advanced bots, improving detection precision without interrupting legitimate users.

For the first time, automated bot traffic has eclipsed human activity on the Internet, now generating roughly 57% of all web requests. This milestone emphasizes a seismic evolution from an Internet built for human clicks to a digital landscape now dominated by AI agents. For organizations and everyday consumers, this means that legacy defenses are blind to a new breed of automated threats that drive up infrastructure costs, manipulate inventory, and compromise data. While a modern bot can easily fake a single action to pass a one-time security check, replicating an entire human journey remains a massive engineering hurdle. To protect the integrity of the global Internet, organizations must move away from static, point-in-time defenses and embrace continuous behavioral validation—analyzing telemetry across an entire session to unmask automated imposters trying to blend into the crowd.

Samsung’s InHouse Robots Are A Chip Play, Not A Product

Samsung didn’t promote from within to lead RX’s strategy — it hired Executive Vice President Lee Dongkun, who previously directed robotics strategy at Hyundai Motor Group, the parent of Boston Dynamics, and who oversaw development of the electric Atlas humanoid and Spot quadruped during Hyundai’s push to commercialize both. That hire, paired with Samsung’s Rainbow Robotics subsidiary already commercializing the RBY1 wheeled dual-arm platform and developing HUBO bipedal prototypes, signals a company assembling deployment expertise, not just research capability. See our coverage of Unitree’s TIME cover hiding a 9% industrial deployment problem for how deployment expertise, not funding or hype, is the scarce resource across this entire sector right now.

Samsung’s in-house robots strategy also extends to components most competitors buy from third parties: the company is developing its own actuators using motor technologies adapted from home appliances, an unusual but financially logical move for a company that already runs enormous consumer-electronics manufacturing lines. Owning that layer reduces both cost and dependency on the same small set of actuator suppliers every other humanoid maker competes for.

⚠ Fiction — composite scenario, not a real event: A robotics analyst covers Samsung’s RX division purely as a Tesla and Unitree competitor, publishing a forecast comparing unit shipment targets. Two years later, Samsung has shipped fewer finished humanoids than expected — but its foundry chip revenue from robotics customers across five different manufacturers has quietly become a bigger business line than the humanoid unit itself, exactly the outcome the shipment-focused forecast never modeled.

The AI Talent War Shifts To Forward-Deployed Engineers

TechCrunch just dropped a major report detailing a massive shift in how enterprises are hiring for artificial intelligence.

The token-accumulation phase is over, and Wall Street is demanding actual bottom-line returns on billion-dollar AI investments. To survive, companies are desperately hunting for Forward-Deployed Engineers to force these models into profitable workflows.

According to Christian & Timbers, demand for these specialized engineers is projected to surge by 2,100 percent by the end of this year. At the start of 2026, only 5 to 10 percent of companies planned to hire them for small pilots. By the end of the second quarter, that figure skyrocketed to 70 percent.

Consulting and services firms are now increasing their headcounts by 10 times, building teams of 20 to 100 employees. The research, based on surveys of 250 C-suite executives across 180 companies and 80 Fortune 500 leaders, reveals a severe supply bottleneck.

While there are roughly 17,000 Forward-Deployed Engineers in the U.S., only 2,000 possess the elite applied AI experience required to generate multiple tens of millions of dollars in true ROI.

The Margin And Implementation Shift.

For international founders and technical executives, this marks the end of theoretical AI adoption. Over the next six months, expect a fierce bidding war for the top 2,000 engineers capable of bridging the gap between frontier models and proprietary enterprise data.

Market sentiment is shifting from blind bullishness to operational anxiety.

Honda and Nissan to jointly develop next-generation car operating system

Honda Motor and Nissan Motor, which have been discussing areas of cooperation, are considering jointly developing an operating system for software-defined vehicles (SDVs) based on Nissan’s technology, informed sources said Sunday.

Functionality such as autonomous driving an be added or improved in SDVs through software updates. As the vehicle’s operating system (OS) is a core technology for next-generation automobiles, standardizing it between the two Japanese automakers is expected to improve development efficiency.

In 2024, Honda and Nissan announced that they would explore collaboration in areas including SDVs, batteries and vehicle supply. They later entered talks on a potential business integration. Although those merger discussions ultimately collapsed, the companies continued to examine cooperation on a project-by-project basis.

How enterprise GenAI can amplify ransomware risk — and how to contain it

Enterprise AI will continue expanding because the business benefits are clear. The challenge is ensuring that productivity gains do not come at the expense of security.

The most effective approach is to incorporate AI into existing identity, data protection and incident response strategies rather than treating it as a separate security domain. Organizations should evaluate AI security controls based on how well they integrate with existing governance and security operations while providing visibility into AI usage, permissions and policy violations.

For managed service providers (MSPs) and enterprise security teams, there is an opportunity to extend cyber resilience strategies to include AI governance.

Anthropic accuses Chinese AI labs of mining Claude as US debates AI chip exports

As one legal analyst noted, the settlement may be seen by the tech industry as simply “a price of conducting business in a fiercely competitive space”—a cost of doing business rather than a genuine deterrent. Meanwhile, the fair-use ruling on training means Anthropic retains the legal right to train on copyrighted works, as long as it doesn’t pirate them to do so.


Anthropic is accusing three Chinese AI companies of setting up more than 24,000 fake accounts with its Claude AI model to improve their own models.

The labs — DeepSeek, Moonshot AI, and MiniMax — allegedly generated more than 16 million exchanges with Claude through those accounts using a technique called “distillation.” Anthropic said the labs “targeted Claude’s most differentiated capabilities: agentic reasoning, tool use, and coding.”

The accusations come amid debates over how strictly to enforce export controls on advanced AI chips, a policy aimed at curbing China’s AI development.

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