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McAfee launches scam detector to stop scams before they strike

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Scams are everywhere. McAfee’s new scam detector spots and stops scams across text, email, and video to keep you from being fooled. McAfee today announced at CES 2025 the launch of McAfee Scam Detector – the […]

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Scams are everywhere. McAfee’s new scam detector spots and stops scams across text, email, and video to keep you from being fooled.

McAfee today announced at CES 2025 the launch of McAfee Scam Detector – the most comprehensive protection against text, email, and video scams. Today’s scams are smarter, sneakier, and more convincing than ever – and they’re everywhere. One in three Americans admit falling for a text, email, or video scam in the last 12 months.

From fake emails and suspicious texts to deepfake videos that look incredibly real, scammers are using clever tricks to steal people’s money and personal information. McAfee is helping consumers take back control with its AI-powered McAfee Scam Detector to stop scammers in their tracks.

McAfee is using AI to try to stop scams before they strike via automatic detection of scams or potential scams. Scammers have a couple of things working in their favor, said Steve Grobman, CTO of McAfee, in an interview with GamesBeat.

One is there’s a large number of private communication channels where there’s not necessarily a moderator, like on encrypted messaging or direct messaging. They could be communicating with the victim, you know, under the guise of security. The other piece is real time, and it’s one of the reasons that McAfee has made its deepfake detector product work on any video stream in the web, Grobman said.

Beginning this spring, McAfee’s Scam Detector will be included at no extra cost for McAfee customers. This must-have product uses the latest in advanced AI technology to proactively analyze and flag risky messages in real time. That ‘Hi, how are you?’ text from a stranger? It’s one of the top text scams of 2024.

I got a scam email about using an automated document signing service, with an attachment saying “termination NDA” on it. I almost fell for that one, given the urgency I associated with that one. (I wasn’t fired).

An urgent email about a failed delivery? Probably fake. And no, Elon Musk doesn’t have a unique investment opportunity for you. McAfee makes it easy to tell real from fake in seconds and gives you the winning combination of tips and technology to keep scams out of your life for good.

“I think the thing that is most clever is the personalization,” said Grobman. “One of the things that we have seen are job scams, where people have made their search public, and those scams take the form of taking your job interview to the next level but it requires a background check and we require the applicant to pay for the background check.”

He said the scanning for scams is working in real time, making it possible to catch the scammers at the right times.

Background

A year ago, Grobman talked to me about focusing on scam defense in three areas: scams that come through email, scams that come through text, and then scams that users are exposed to, more generally, in other media forms like video.

To address that, the company developed advanced AI models to protect consumers in all three of those areas and it started to deploy them in late 2024. One of those was a deepfake detector to help consumers identify whether AI generated videos are AI generated versus authentic.

The company also ran technology previews for our other modalities, namely email and text.

“And now that we’re moving into 2025 we’re very excited to move all of these technologies into a much larger scale by making them available to the vast majority of our customers,” Grobman said. “We’re evolving our AI models to take advantage of advanced AI PCs when an advanced AI PC is there. So we can run our AI models on the [PC’s own] NPU, but we also have the ability to run on other inference engines, either the CPU or GPU, which is able to give us a broader scope, to give capabilities to a broader set of users.”

The email scam defense is going to move beyond a technology preview that McAfee did in 2024 where it was available for Microsoft-based email properties. Now it can support Gmail and other properties.

“In offerings in 2025, we’ve developed advanced technology to detect deep fake images. So we did a partnership with Yahoo News in 2024 around helping to ensure that images that came through the news pipeline, that their editors, their quality assurance personnel, could best detect if anything was generated with AI image generation technology and help provide that insight.”

Protecting people in today’s Scamiverse

Every day, scammers trick people with fake emails, texts, and videos, and the results can be devastating. Americans report receiving 12 scam messages daily, losing as much as $1,000 when they fall for one, and spend 80 hours a year simply trying to figure out if the onslaught of messages they receive are real or fake, according to a McAfee survey. And deepfake scams, which use AI to create fake video, can be even worse – some people have lost up to half a million dollars, based on a McAfee survey.

It’s clear that scams have become a drain on people’s time, energy, and finances.

“I’ve had more issues with scam texts recently. I’d say within the last year, it’s just been bad. Like I’ve been getting a lot of spam emails, texts, calls…it’s a lot,” said Tina, 31, in South Carolina.

“It was a fake email for UPS. I thought that I was signing up to change my address and instead it charged my credit card,” said Alexandria, 46, in Georgia.

“While I love new technology, I have been very scared of AI generated videos and information since seeing just how realistic it can be,” said Haley, 24, from New Jersey.

“Scammers are getting smarter every day, using technology like artificial intelligence to make their tricks more convincing and harder to spot,” said Grobman. “They play on people’s emotions – like fear, urgency, or trust – to get what they want. That’s why we created McAfee Scam Detector. It warns you about scams before they can cause harm, helps you stay in control of your personal information, and helps you build the skills needed to outsmart scammers for good.”

Grobman said MAfee saw a lot of holiday scams, offering good deals for shoppers, during the recent holiday season.

“They offer deals that are too good to be true,” Grobman said. “Cyber criminals are in the business of extorting money from their victims, and generative AI is making them more effective and more efficient as well.”

How McAfee’s Scam Detector works

McAfee’s Scam Detector is powered by Smart AI, the same technology that makes McAfee’s online protection award-winning and so reliable. Here’s what this all-in-one protection does to keep people safe from email, text message, and video scams:

Email Scam Detector: Scans your inbox for suspicious emails and flags risky messages before you even open them. It also explains why a message is dangerous, so you’ll know what to look out for next time.

Text Scam Detector: Detects suspect texts that scammers use to trick you into giving them money or clicking bad links, flags risky messages before you open them, and gives you clear explanations of why they’re dangerous. You need the McAfee mobile app for iOS or Android to enable this. You would just enable this on the app.

Deepfake Detector: Spots AI-made videos, letting you know if something you’re watching may not be what it seems. Whether it’s someone pretending to be your boss or a fake celebrity endorsement, McAfee makes sure you don’t get fooled. Innovation for deepfake detection continues with expansion to more languages and will soon work seamlessly wherever you’re online – across phones, tablets, laptops, and
desktops.

The deep fake detector for AI PCs is currently available and McAfee will be expanding that to the vast majority of modern PCs, Grobman said.

By running deepfake detection at the edge on a user’s PC, the system is optimized for privacy and latency.

“If we detect something from streaming, we give that information to the user right away and we don’t have any latency,” he said. “We take full advantage of the innovation that’s happened in the hardware ecosystem and device ecosystem.”

McAfee is also showing at CES its tech that works on Mac, Android and Chromebooks — going beyond AI-based protection on Microsoft Windows.

Simple, easy protection for everyone

Free for McAfee customers: Soon, McAfee Scam Detector will be included in all McAfee+, McAfee Total Protection, and McAfee LiveSafe plans at no extra cost.

Works instantly: Once it’s set up, Scam Detector goes to work immediately. No need to copy, paste, or second-guess if a message is fake – McAfee does it for you.

Protects you wherever you’re online: Whether you’re using a phone, laptop, tablet, or Chromebook, Scam Detector keeps you safe.

For more tips on avoiding scams and staying safe online, visit the McAfee Smart AITM Hub at mcafee.ai.

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What Intel needs to do to get its mojo back

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Venture Global Slashes IPO Price Range by More Than 40 Pct

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Oil Prices Slip Amid Tariff Threats and Russia Sanctions

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Trump freezes IRA funding

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Ignoring Chinese offshore wind investment “would be crazy”, GB Energy chair says

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Liberty Energy, DC Grid partner on off-grid power for data centers and EV hubs

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AI improvements, DERs and new generation needed to meet power demand: USEA panel

The long lead time to build new dispatchable generation has electric utilities scouring their distribution systems for available electrons — but ultimately, new gas and nuclear resources will be required to meet skyrocketing demand, experts said Jan. 15 during a U.S. Energy Association discussion. A combination of data centers, manufacturing and electrification is driving U.S. electricity consumption higher after two decades of stagnant growth. Demand is projected to grow 9% by 2028 and 18% by 2033 — an increase of 2% per year, on average, relative to 2024 levels — consulting firm ICF said in a September report. Peak demand could grow 5% over the next four years. What must utilities do in order to meet the coming demand? “Build everything you can, as fast as you can,” said Duane Highley, CEO of Tri-State Generation and Transmission Association. “The supply chains are lengthening. To get a turbine on order might be 2030, 2031, delivery. We’re going to need some gas in the mix to make it all happen, even as we build massive amounts of renewables. So I’d say just move as fast as you can today,” he said. “We have to definitely build more, but we also have to expand the capacity of the existing systems that we have,” said Karen Wayland, CEO of GridWise Alliance, a group focused on electric system innovation. Distribution utilities facing significant load growth will likely need new and expanded transmission capacity and generation, but those projects will lag the new load, Wayland said. “So many utilities … are looking much more closely at local resources.” Electricity demand could rise 128 GW over the next five years, with data centers and manufacturing growth leading the increase, Grid Strategies said in December.  Portland General Electric is aiming to have 25% of its peak power come from customers and distributed

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Sustainability, grid demands, AI workloads will challenge data center growth in 2025

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UK Government’s Bold AI Plan: A Game-Changer for Data Centers and Economic Growth?

The UK government has presently announced its comprehensive “AI Opportunities Action Plan,” positioning artificial intelligence as a cornerstone for economic growth and public service transformation over the next decade. The bold initiative, spearheaded by Prime Minister Keir Starmer, aims to make Britain a global leader in AI development and adoption, with significant implications for the data center industry.   Britain’s ambitious AI roadmap taps into the growing synergy between artificial intelligence and data infrastructure. With dedicated AI Growth Zones and a focus on sustainable energy, the UK is setting the stage for an AI-driven economy that aligns with the next generation of data center demands. The data center industry should watch these developments closely, as they signal opportunities for long-term growth in a rapidly evolving market.   AI Infrastructure Prioritization Meets Major Private Sector Investments    The UK government plan introduces “AI Growth Zones,” areas designed to streamline planning approvals for data centers and enhance access to energy infrastructure.  These zones will focus on de-industrialized regions, providing a dual benefit of revitalizing local economies and accelerating the rollout of AI infrastructure. The first such zone will be established in Culham, Oxfordshire, leveraging local expertise in sustainable energy research, including fusion technologies.   Leading tech firms, including Vantage Data Centers, Nscale, and Kyndryl, have committed £14 billion to AI infrastructure development under the plan, creating 13,250 jobs across the UK, according to a press release.  Vantage Data Centers alone plans to invest over £12 billion to establish one of Europe’s largest campuses in Wales and additional facilities nationwide, generating 11,500 jobs.   Plan Harnesses AI for Both Public, Private Sectors  A significant component of the plan is a proposed 20x increase in public compute capacity by 2030, starting with the development of a new supercomputer to support AI innovation. Alongside this supercharging of

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Prologis and Skybox Advance Warehouse Conversion Strategy with Illinois Data Center Sale

Prologis, among the global leaders in industrial real estate, has taken another major step into the data center market with the sale of a newly developed turnkey data center in Illinois. With the deal for the sale announced last December, partnering with Skybox Datacenters, Prologis had initially converted one of its existing warehouses into a 32 megawatt (MW) facility, demonstrating as far back as 2021 the growing appeal of adaptive reuse for digital infrastructure. As reported by Data Center Dynamics’ Dan Swinhoe: “Skybox said the facility was located in the Elk Grove village area of the city. Images shared by Skybox and Prologis suggest it was Chicago 1, the data center the two companies completed in early 2022 […] DCD reached out for more information. Prologis confirmed Chicago 1 has been sold; the powered shell has been completed, with the turnkey development is in process. The facility spans 190,000 sq ft on a ten-acre site.” The converted facility’s buyer, HMC Capital, sees this acquisition as a marquee asset for its newly launched DigiCo Infrastructure REIT, which targets high-quality data center investments across the United States and Australia. The deal highlights the rapid evolution of Prologis’ data center strategy and the increasing convergence of industrial real estate and digital infrastructure. Prologis’ Growing Presence in Data Centers Prologis is no stranger to data center development, having been featured in prior DCF coverage for its strategic moves into the rapidly burgeoning sector. The Illinois project reflects Prologis’ focus on unlocking higher-value uses for its vast portfolio of warehouses.  According to Dan Letter, President of Prologis, “Warehouse conversions in key markets offer a compelling growth opportunity while delivering outsized returns to our investors and meeting customer demand for digital infrastructure.” To support this strategy, Prologis has aggressively scaled its power procurement capabilities, securing 1.6

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President Biden’s Executive Order on AI Data Center Construction: Summary and Commentary

Issued this week, President Biden’s “Executive Order on Advancing United States Leadership in Artificial Intelligence Infrastructure” represents a transformative policy moment for the data center industry if implemented, underscoring the convergence of two equally transformative forces: the AI revolution and the clean energy transition. For the data center industry, the policy marks a clear shift toward a strategic, mission-critical role in national security and economic resilience. The Executive Order’s vision also aligns with definitively emerging trends in the contemporary data center industry, particularly the pivot toward sustainability and energy efficiency. The policy’s emphasis on clean energy infrastructure—whether through nuclear, geothermal, or long-duration storage—addresses the industry’s growing focus on renewable power. However, executing this vision will require massive investments in grid modernization and streamlined permitting processes, which have historically been bottlenecks for large-scale infrastructure projects. The directive to align new AI electricity demands with clean energy sources puts a spotlight on the challenges posed by AI’s computational intensity. Hyperscale operators and colocation providers will need to redouble their rethinking of power procurement strategies, with a renewed focus on distributed energy resources and partnerships with utility providers. Additionally, the Executive Order’s call for high labor standards and community engagement reflects growing federal acknowledgment of data centers’ societal footprint. While the industry has made strides in community outreach, such measures ensure data center developments are not just sustainable but also equitable, creating jobs and fostering goodwill in the communities where they operate. For what it explicitly defines as “frontier AI data centers,” the Executive Order also seeks to provide a regulatory framework to streamline development, while ensuring robust cybersecurity and supply chain integrity. Importantly though, balancing the urgency of AI infrastructure development with the complex demands of energy transition and national security will require unprecedented levels of public-private collaboration. The Executive Order apparently isn’t just

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Edged Data Centers Builds for the Future On Heels of Innovative Nuclear Power Partnership

MERLIN Properties and Edged Energy to Build Gigawatt-Scale AI Data Center Campuses in Spain To wit, in a furtherance of its groundbreaking partnership in Europe, MERLIN Properties and Edged Energy are collaborating with the regional government of Extremadura, Spain, to establish two state-of-the-art data center campuses. These facilities, designed to support the burgeoning demand for generative AI and advanced computing, promise to set new standards for sustainability and efficiency in the data center industry. A Vision for Sustainability and Growth in Extremadura The data centers, located in Navalmoral de la Mata (Cáceres Province) and Valdecaballeros (Badajoz Province), will each deliver up to 1 GW of IT capacity. Featuring industry-leading innovations, the campuses will boast an average PUE of 1.15, ensuring ultra-efficient operations. Edged says the project represents a significant leap forward in green data center development, aligning with Extremadura’s commitment to leveraging innovation and technology for economic and environmental progress. “Our mission is to create data centers for positive impact, and we are proud to contribute to the Iberian Peninsula’s growing digital economy,” said Jakob Carnemark, CEO of Edged Energy. “The region offers unprecedented fiber connectivity with massive submarine connections worldwide and boasts reliable, abundant, and low-cost renewable energy.” Harnessing Renewable Energy and Cutting-Edge Cooling Technology The Extremadura facilities will operate entirely on electricity from renewable sources, capitalizing on the region’s vast sustainable energy capacity. Extremadura currently produces six times the electricity it consumes, making it an ideal location for gigawatt-scale data centers. The project’s waterless cooling system, ThermalWorks, will enable the facilities to operate without consuming water, a critical innovation for such regions with limited water resources. The system will support ultra-high rack densities of up to 200kW per rack to accommodate the advanced computing demands of AI workloads. Strategic Location and Connectivity The Iberian Peninsula is rapidly becoming

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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