Samsung could be preparing its busiest flagship launch schedule yet.

According to a new report from South Korea, the company is planning a “4+4” strategy for 2027. This would see eight premium Galaxy smartphones launch across the year, including a second-generation tri-fold device.

If accurate, the roadmap would significantly expand Samsung’s flagship lineup as competition in the premium smartphone market continues to intensify.

The report claims Samsung will split its launches into two waves. The first half of 2027 is expected to be led by the Galaxy S27, Galaxy S27+, Galaxy S27 Ultra and, for the first time, a Galaxy S27 Pro. Thus, the Galaxy S family will have four flagship models instead of the usual three.

The second half of the year is reportedly reserved for foldables. Alongside the Galaxy Z Fold 9, Galaxy Z Fold 9 Ultra and Galaxy Z Flip 9, Samsung is said to be preparing the Galaxy Z TriFold 2. This would mark the return of its most ambitious foldable design.

Advertisement

According to the report, Samsung has already shared details of the expanded lineup with supply chain partners. Furthermore, all four foldables are expected to launch together around July 2027.

Very little is known about the TriFold 2 itself. Although the report suggests Samsung isn’t planning any major changes to its display. The foldable is expected to retain a 9.96-inch main screen with a 4:3 aspect ratio. Meanwhile, earlier rumours have pointed to a noticeably slimmer chassis with all three sections sharing a more consistent thickness.

Production, however, could see a bigger change. Samsung’s first tri-fold device is expected to be produced in relatively limited quantities. Nevertheless, industry sources believe the company will significantly increase manufacturing for its successor if demand proves strong enough.

Advertisement

The move would also continue Samsung’s steady expansion of its foldable portfolio. What was once a two-device lineup has already grown. This year’s range adds a third foldable alongside the Galaxy Z Fold and Galaxy Z Flip series.

Advertisement

The report suggests the expanded flagship strategy could help the company strengthen its position ahead of Apple’s widely anticipated 20th anniversary iPhone lineup. Apple’s lineup is also expected to arrive in 2027.

For now, the roadmap should be taken with a fairly large pinch of salt, as product plans can change a lot before launch. Still, if the report proves accurate, next year could mark the company’s biggest flagship refresh in years.

Advertisement

Apple will report its third-quarter financial results on July 30. Here’s what happened in the quarter, and what analysts believe will be the highlights of Tim Cook’s last earnings report as CEO.

Apple’s Q3 2026 financial results will be issued by Apple in a press release on July 30. As is tradition, it will be followed by the analyst and investor conference call at 5 p.m. EDT.

The call will see current CEO Tim Cook and CFO Kevan Parekh talking about the quarter and providing guidance for future quarters. Analysts will also ask questions about Q3 and what to expect from upcoming trade periods.

The discussions will almost certainly also cover Cook’s last financials call as CEO.

As usual, AppleInsider will be reviewing the data and reporting on the subjects raised in the conference call.

Last Quarter: Q2 2026

Released on April 30, the Q2 earnings were a second-quarter record, with $111.2 billion in revenue reported. There were also gains across almost all areas, exceeding the expectations of Wall Street analysts.

The revenue included $56.99 billion from iPhone, with Mac revenue also up at $8.4 billion, iPad rose to $6.9 billion, and Wearables, Home, and Accessories shifted to $7.9 billion.

Apple quarterly revenue and net profit as of Q2 2026

Advertisement

The ever-reliable Services category reached $30.9 billion, up from $26.6 billion in Q2 2025.

During the period, Apple enjoyed post-holiday launches including the M4 iPad Air, the iPhone 17e, M5 upgrade to MacBook Air, and the M5 Pro and M5 Max MacBook Pro. There was also the updated Apple Studio Display, the Studio Display XDR, and the MacBook Neo.

Year Ago Quarter: Q3 2025

The Q3 2025 figures were an improvement to $94.04 billion in revenue, again soundly beating Wall Street expectations.

The iPhone revenue was up to $44.58 billion, with Mac also growing to $8.05 billion, and Services marching upward to $27.4 billion.

Apple quarterly revenue by unit as of Q2 2026

However, iPad revenue dipped from $7.16 billion in Q3 2024 to $6.58 billion in Q3 2025. Similarly, Wearables, Home, and Accessories went from $8.09 billion to $7.4 billion.

The quarter had a backdrop of a global trade war, with Apple getting a minimal hit from grossly increased tariffs. Apple also managed to get a new all-time high for its install base across all product categories and geographic segments.

What happened in Apple’s third fiscal quarter of 2026.

The quarter is the first to fully benefit from the Q2 releases, since they were available for the entire period instead of part of it. Aside from the launch of the AirPod Max 2, there aren’t really any major in-quarter launches to be concerned about.

However, the ongoing memory crisis has made an impact. Warned in June by Cook, he admitted that price rises were “unavoidable,” and the situation unsustainable.

A few days later, Apple raised the prices of its products across the range significantly.

This included the MacBook Air starting from $1,299 instead of $1,099 and the MacBook Neo jumping from $599 to $699. The Mac Studio was badly hit, with the M4 Max starting from $2,499 instead of $1,999, and the M3 Ultra going up from $3,999 to $5,299.

While products like the HomePod and Apple Vision Pro also saw hikes, Apple didn’t adjust the prices of the iPhone 17 generation. It may simply be waiting for the iPhone 18 to do that.

During the Q2 results, Parekh provided some forward-looking statements. This included expectations of revenue growth at between 14% and 17% year-over-year, and a gross margin between 47.5% and 48.5%.

Operational Expenditure should reach between $18.8 billion and $19.1 billion.

What is Wall Street expecting to see in Apples’ Q3 2026 financial report?

The Wall Street consensus refers to a survey of analysts. The results are averaged out to give a general opinion of where investors and analysts are leaning in their quarterly forecasts.

Yahoo Finance

Yahoo Finance’s revenue estimate for Apple in Q3 stems from 27 analysts. As of July 22, the average estimate is $108.9 billion, with a low of $107.5 billion and a high of $112.17 billion.

For the earnings per share estimate, 31 analysts put it at an average of $1.89. The low is $1.83 and the high is $1.99.

TipRanks

TipRanks also does its own analyst polling on Apple’s quarter. In its forecast as of July 22, its consensus is for revenue at $108.85 billion, with a high of $112.20 billion and a low of $105.20 billion.

On the earnings per share, the consensus is $1.89, with a low of $1.80 and a high of $1.99.

Analyst Expectations

Ahead of the results and call, analysts offer their own forecasts of what they think Apple will be declaring in its financials. Depending on the firm and the analyst, these hot takes include both positive and negative opinions about Apple.

AppleInsider will add to the analyst speculation here as the predictions roll in.

Bank of America

In a forecast that rolled in on July 20, Bank of America is a little positive about Apple’s potential results. In its July 20 forecast, it believes Apple will get $109 billion in revenue with an earnings per share of $1.89.

iPhone build plans for a Pro-centric production are robust, but the analysts are being more conservative due to the new hardware cycle staggering. For Services, BoA thinks there will be 14% year-over-year growth.

As expected, BoA believes that investor focus will be on things like component cost rises, as well as the Cook-Ternus changeover.

BoA has a Buy rating for Apple, with a price target of $380.

Morgan Stanley

On July 24, Morgan Stanley provided its own guidance on the quarterly results, with expectations it will slightly beat market expectations.

Working on guidance of potential increases in revenue and EPS, Morgan Stanley thinks that Apple’s gross margin may go slightly below the market’s forecast. It blames potential changes to iPhone shipment volumes, price hikes, and cost inflation.

Under this forecast, Morgan Stanley reiterated its “Overweight” rating for Apple, but raised the price target from $360 to $364.

UBS

On July 16, UBS issued a report giving Apple a “Neutral” rating and maintained a price target of $296.

For the quarter, UBS expects revenue to reach $107.8 billion, just below a $108.1 billion consensus. The diluted earnings per share is anticipated to be $1.84, slightly down from the $1.87 of the consensus.

On a per-unit basis, iPhone market share increased in the quarter, with Mac revenue up thanks to new models, albeit with a small shift to a lower average selling price. Services is projected to get a 13% year-over-year growth, though with headwinds in App Store growth and Google search-related revenue.

Over the weekend, Reddit user -void1 posted an alarming discovery on the r/ClaudeAI subreddit: some conversations that users of Anthropic’s Claude AI chatbot had made “shareable” via a link were being indexed by Google Search, and could be clicked on and accessed by seemingly anyone.

The conversation took off on the social networks X and Reddit, the latter with thousands of upvotes and comments, many expressing concern about user privacy and information security, and the additional finding by users that shared Claude Artifacts — including interactive applications, dashboards, documents and other AI-generated work products — were also appearing in Google Search results.

VentureBeat independently verified that some Claude Artifacts not shared directly with us were indeed searchable and accessible via Google. We could not access any shared conversations.

By Sunday morning, many of the original Google search results for shared Claude conversations appeared to have disappeared or become significantly harder to find, suggesting either Google, Anthropic or both had begun taking action.

The exposure could carry broader implications for enterprise users. Anthropic has increasingly positioned the feature as a collaborative workspace for building and sharing software, dashboards, documents and other business assets rather than simply chatbot responses.

I have reached out to Anthropic for comment and will update this article when the company responds.

A simple Google search yields a trove of Claude conversations

Reddit user -void1 posted to r/ClaudeAI on July 25, 2026, demonstrating that the Google query site:claude.ai/share surfaced numerous publicly accessible Claude conversations.

Screenshots shared across Reddit and X showed Google returning pages from Claude’s /share URLs, while other users reported finding conversations containing cryptocurrency wallet creation, legal questions, résumés and internal business discussions.

While many users expressed concern that conversations they believed were effectively “unlisted” could become discoverable through public search engines, others argued the behavior reflected the expected consequences of creating publicly accessible share links rather than a software vulnerability.

Indeed, Anthropic requires the user themselves to go into Claude’s options and select to make a conversation or Artifact shareable to others with the link, warning them it will be accessible to anyone with it, over multiple dialog boxes. It is similar to sharing a Google Doc link, where the user must also select the option — it is not enabled by default.

Why the exposure of Claude Artifacts may be even more concerning

On July 26, X user Om Patel, founder of research firm BigIdeasDB, posted allegingthat searches such as site:claude.ai/public/artifacts surfaced publicly shared applications, dashboards, reports and documents.

Screenshots circulating online appeared to show search results referencing internal-looking proposal documents and other business materials. Another widely circulated post warned that users often interpret “Anyone with the link” as equivalent to an unlisted YouTube video—accessible only if someone possesses the URL—not necessarily as content eligible for indexing by public search engines.

VentureBeat independently verified that multiple third-party Claude Artifacts appeared in Google Search results for the query site:claude.ai/public/artifactslaunch and were accessible without authentication, despite the URLs not being previously known to the reporter.

However, VentureBeat has not independently verified the full volume or representativeness of the examples circulating on social media.

The reports are particularly significant because Artifacts has become one of Anthropic’s flagship product initiatives.

First introduced alongside Claude 3.5 Sonnet in June 2024, Artifacts transformed Claude from a conventional chatbot into a collaborative workspace capable of generating interactive web applications, dashboards, visualizations, documents, games and other live software alongside a conversation.

VentureBeat previously described the launch as potentially marking the beginning of an “interface war” among AI companies, shifting competition from raw model performance toward collaborative AI workspaces.

Anthropic subsequently rolled Artifacts out to all Claude users, saying tens of millions had already been created, before expanding the concept again this year into Claude Code.

That update allows engineering teams to publish live HTML dashboards and interactive project workspaces directly from coding sessions, making Artifacts an increasingly important part of Anthropic’s enterprise strategy.

That broader functionality raises the potential stakes if publicly shared Artifacts were also being indexed. Unlike ordinary chat transcripts, Artifacts can contain interactive software prototypes, engineering dashboards, planning documents, product mockups, data visualizations and other work products organizations increasingly rely on to collaborate across technical and business teams. If those pages become searchable through public search engines, the exposure could extend well beyond conversational text.

A reality check on privacy, information security and the open web

Importantly, nothing so far suggests attackers gained access to private Claude accounts or conversations.

Rather, the controversy centers on conversations and Artifacts that users explicitly chose to share publicly via Claude’s sharing tools.

The dispute instead is whether users reasonably understood those shared pages could become discoverable through public search engines rather than only by recipients possessing the link.

Technically, pages that are publicly accessible without authentication can generally be indexed by search engines unless publishers explicitly prevent crawling through mechanisms such as noindex directives or other indexing controls.

Several Reddit commenters noted that Claude’s long, randomly generated share URLs are effectively impossible to guess. Instead, search engines typically discover them only after links appear somewhere they are permitted to crawl, such as public websites, forums or social media posts. Others questioned exactly how Google initially discovered so many Claude share URLs.

The issue also illustrates a growing challenge for AI companies as chatbots evolve into collaborative workspaces for creating software, documents, dashboards and business applications.

Features originally designed to make sharing AI-generated work easier now increasingly expose assets that may carry significantly more business value than a simple conversation.

As enterprises adopt AI as a platform for building internal tools and workflows, the distinction between “shared by link” and “publicly discoverable through search” becomes far more consequential.

A recurring challenge for AI companies

Anthropic is far from the first AI company to confront the distinction between “shared” and “searchable.”

Reddit users quickly pointed out that OpenAI previously faced criticism after publicly shared ChatGPT conversations became discoverable through Google, prompting similar debates over whether “share by link” should imply a publicly indexed webpage or something closer to an unlisted document.

Anthropic’s situation also echoes an incident involving Google’s pre-Gemini AI assistant, Bard, in September 2023. SEO consultant Gagan Ghotra discovered that Google Search had begun indexing shared Bard conversation links, warning that users could mistakenly assume they were sharing conversations only with intended recipients rather than making them discoverable through search.

Google later responded publicly that it did not intend for shared Bard chats to be indexed and said it was working to block them from Google Search while emphasizing that only conversations users explicitly chose to share were affected.

Together, the Bard, ChatGPT and now Claude episodes suggest AI companies continue to wrestle with the boundary between content that is technically public on the web and users’ expectations that “share with a link” behaves more like an unlisted Google Doc or YouTube video than a webpage eligible for indexing by search engines.

What enterprises should do now

For organizations deploying generative AI broadly across employees, the distinction between “shared with a link” and “publicly discoverable through search” is not merely semantic. It can determine whether an internal engineering dashboard, financial model, product roadmap, customer-facing prototype or AI-generated application remains effectively private—or becomes visible to anyone using a search engine.

Whether this ultimately proves to be a technical indexing oversight, a mismatch between product design and user expectations, or some combination of both, the episode serves as another reminder that AI products are increasingly functioning less like chatbots and more like collaborative operating systems for knowledge work.

As those platforms begin hosting internal dashboards, software prototypes, financial analyses, business planning documents and increasingly sophisticated enterprise applications, seemingly small decisions about how shared links behave can have outsized consequences for enterprise security, product design and user trust.

Enterprise leaders should consider taking several practical steps:

1. Audit existing shared AI content: Review shared conversations, Artifacts and other publicly accessible AI-generated assets to determine whether they should remain available or be unpublished.

2. Clarify what “Share” actually means to your ENTIRE organization: Don’t assume employees understand the difference between “accessible by link” and “discoverable through search.” Update internal guidance to explain how each AI platform handles shared content.

3. Treat AI platforms like collaboration software: Apply the same governance you use for Google Docs, Microsoft 365, Slack, GitHub, Notion or SharePoint—including policies around sharing sensitive intellectual property, customer information and regulated data.

4. Prefer authenticated enterprise workspaces for sensitive information: When possible, keep confidential projects, code, financial models and customer data inside enterprise accounts with identity-based access controls instead of publicly accessible links.

5. Review vendor defaults and sharing controls: As AI platforms evolve rapidly, administrators should periodically revisit default sharing settings, retention policies and indexing behavior rather than assuming they remain unchanged after new feature releases.

For now, it appears Anthropic has begun limiting the visibility of at least some shared pages in Google Search, though reports suggest cached copies, archived pages and indexing by other search engines may persist for some content. Enterprises that have relied on Claude’s sharing features may wish to review existing shared conversations and Artifacts while Anthropic’s investigation continues.

Jeffrey Hazelwood/CNET

Your phone is essentially a miniature computer. They help us stay connected with friends online, organize our schedules and even stream our favorite shows. And you probably have a strong opinion on how your phone performs, its battery life and which features are actually useful — and which aren’t.

This month, we’re asking which phone you rely on. You can take our two-minute survey to share your experience with your device’s camera quality, battery life, durability and value. The top picks will make it to our roundup, so be sure to check back in a few weeks to see if yours made the list.

Why we want to hear from you

Spec tables on retailer sites don’t capture the full story about a phone. How your phone performs every day, your experience with the camera in dim lighting and whether the hardware holds up over time are invaluable insights for others.

“I’ve been reviewing phones at CNET for a decade and my absolute favorite part of my job is meeting readers and hearing about what they love about their handsets and what annoys them. I’m incredibly excited to hear from you and encourage you to share your experiences with us,” says Patrick Holland, director of content at CNET.

Whether you go for budget phones or prefer devices with all the bells and whistles, you can help other CNET readers find a phone that’s actually worth their money by sharing your thoughts.

How to make your voice heard

This survey is open through mid-August and takes only a few minutes to complete. After we gather enough information, we’ll tally up the numbers and publish the winners.

Need a refresher? Check out our list of the best phones to see which ones CNET editors recommend.

Nasha Addarich Martínez

Managing Editor

Nasha is a Managing Editor for CNET, overseeing our sleep and wellness verticals. She is a nutrition, mental health, fitness and sleep science enthusiast. Her passion for mindful and holistic practices transcends her personal life and profoundly influences her editorial approach, as she weaves evidence-based insights with practical advice to inspire readers to lead healthier, more balanced lives. Throughout her career, she’s covered various topics including financial services, technology, travel and wellness.

See full bio

Advertisement

This messaging is cause for concern, according to ADHD specialists who spoke with WIRED.

“Stimulant medications have been in existence for nearly 100 years, and approved for use in children since the 1960s,” says Kristen Leinung, a mental health nurse practitioner and director of psychiatric services at the Northwest ADHD Treatment Center in Portland, Oregon. The drugs are well-studied for efficacy and have predictable side effects, she adds, but because they can be misused, they’re often stigmatized online. “This style of advertising does further that stigma.”

Leinung believes that with their pessimistic framing of Adderall and similar pharmaceuticals, these supplement ads could lead people to go off their medication, which can be dangerous. “We know untreated or under-treated ADHD carries a high mortality and morbidity risk,” Leinung says, decreasing life expectancy and doubling the risk of premature death; it’s associated with factors that range from less exercise and worse sleep to riskier driving and a higher likelihood of smoking.

US pharmacies have seen shortages of the stimulants Adderall, Vyvanse, Ritalin, and Concerta since 2022. Though the Drug Enforcement Administration increased production quotas last fall, various production bottlenecks have continued to create supply problems, according to the nonprofit Understood, which supports Americans with learning and thinking differences including dyslexia and ADHD.

The difficulty of accessing these medications may factor into someone’s decision to try unproven alternative treatments instead, says Cindy Goldrich, a mental health counselor, educator, and ADHD coach in Boulder, Colorado. That’s what makes the supplement ads feel “exploitative” to her.

“When someone can’t get their prescription filled and doesn’t know when they will, a product promising to fill that gap—or claiming you didn’t need the ‘harsh’ medication anyway—becomes very appealing, very fast,” she says. “It’s not just selling to people who are curious about alternatives. It’s selling to people in crisis, who are scared and out of options through a system failure that has nothing to do with whether their medication works.”

Andrew Kahn, a psychologist and associate director of expertise and behavioral health at Understood, says these supplements also lack robust regulation while suggesting, without evidence, “benefits equal to or similar to medication.” But unlike prescription and over-the-counter drugs, he explains, “supplements don’t have to prove they’re safe or effective to the FDA before they’re sold.”

That very fact can become a selling point. “People are wary of big pharma, wary of side effects, and a ‘natural’ option feels safer even when it isn’t better tested,” Goldrich says. Some of the more common ingredients in the supplements, like omega-3s, L-theanine with caffeine, and certain adaptogens “have modest supporting research as general cognitive or mood support, and there’s nothing wrong with someone using them alongside medication if their doctor is aware.” But an underlying problem, she adds, is that whether a person takes medication or supplements or both, they still need to learn skills like planning and emotional regulation.

In the MAHA era, of course, medically suspect claims often circulate unchallenged. Kennedy, who swears by dubious supplements like the synthetic dye methylene blue, has in many ways normalized these fringe products as the top authority of the vast US health care apparatus. In a statement to WIRED, HHS press secretary Emily G. Hilliard reiterated the department’s position that the nation is facing a challenge of “overmedicalization in behavioral health care,” with patients and parents not always informed about the potential hazards of psychiatric drugs. “Under Secretary Kennedy’s leadership, HHS is embedding informed consent, transparency, and evidence-based alternatives into federal policy and practice,” Hilliard said.

Leinung, however, feels people should think twice before making that decision based on a video they saw on social media. “I do worry that encouraging people to stop or avoid starting prescribed medication to treat their ADHD can negatively impact their quality of life,” she says. “I would caution any person considering stopping their prescribed stimulants to have a thorough discussion with their health care provider.”

The ShinyHunters extortion gang has claimed responsibility for a recently disclosed Ernst & Young data breach, saying it obtained credentials for some of the company’s systems via a supply-chain attack.

Ernst & Young disclosed the breach earlier this month, saying a third-party support ticket system used by its IT personnel was compromised and support tickets that may contain client tax information were stolen.

EY says it detected unusual activity on April 23 and determined that the attacker accessed the platform between March 28 and April 12, downloading multiple documents.

“EY uses a third-party information technology service management platform to help EY information technology personnel provide support to EY teams performing tax-related work for clients,” reads the EY data breach notification.

“Support tickets submitted through the platform may include documents containing client tax information”

Th notification goes on to say that the stolen documents contained personal and financial information included in or used to prepare tax filings.

However, the company has not disclosed the name of the compromised support system, the specific types of information exposed, or how many people were affected.

At the time the breach was disclosed, no ransomware or data extortion group had claimed responsibility for the attack.

Today, the ShinyHunters extortion gang added Ernst & Young to its data leak site, claiming it conducted the attack and threatened to release the allegedly stolen data if the company does not contact the group by July 31, 2026.

The threat actors claimed to BleepingComputer that EY credentials were obtained through a supply-chain attack and used to breach the company. These stolen credentials allegedly allowed them to breach Ernst & Young’s Jira, GitHub, and Azure environments.

The threat actor would not identify the allegedly compromised third party or disclose what data was stolen. However, it claimed that the information EY acknowledged as compromised was exposed, along with more data.

BleepingComputer has no way to verify the threat actor’s claims independently, and Ernst & Young has not confirmed that ShinyHunters was behind the attack.

BleepingComputer contacted Ernst & Young again Monday morning to ask whether ShinyHunters was behind the attack and whether the company had received an extortion demand from the group.

We also asked EY to identify the compromised support system and disclose how many people were affected by the breach.

Ernst & Young previously said it secured its systems, removed the unauthorized access, and notified federal law enforcement.

Affected clients are being offered 24 months of identity monitoring and restoration services through Experian.

Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.

The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.

Get the whitepaper

Your workforce is building agents in Salesforce Agentforce, Microsoft Copilot Studio, Cursor, Zapier, Retool, and a dozen other tools, often without visibility or approval from IT or security.

For IT and security teams, the decision of whether or not agents should be used has already been made by the business, one shadow agent at a time. The challenge now is keeping up. New agents can be created in minutes, connected to sensitive systems in a click, and changed daily.

The job is to maintain visibility and control (who built it, what it can access, what it can do) while enabling the workforce to keep experimenting, automating, and moving fast.

That’s exactly what Nudge Security does.

Why shadow AI agents are riskier than shadow AI apps

AI chatbots are a known problem by now. Shadow AI agents are a different, and arguably bigger, one. An agent holds persistent permissions. It connects to your corporate apps and data. It takes action on its own, without waiting for someone to hit send.

When an unmanaged agent goes wrong, the result isn’t a bad response in a chat window. It’s a system that got touched.

The numbers back this up:

• 48% of cybersecurity professionals rank agentic AI as the most dangerous attack vector of 2026 (Dark Reading).
• 80% of organizations say they’ve already encountered agentic AI risks (SailPoint).
• Only 21% of IT leaders say they have a mature agentic AI governance program in place (Deloitte).

That gap between exposure and readiness is exactly where shadow AI agents live.

Day One: Find shadow AI agents

You can’t govern an agent you don’t know exists. Nudge Security gives you an immediate inventory of AI agents, across the most popular agentic platforms including Microsoft Copilot, Google Gemini, ChatGPT, Claude Managed Agents, Tines, ServiceNow, Salesforce Agentforce, Cursor Automations, and many more.

No spreadsheets. No self-reporting. No waiting for an incident to find out what’s already running in your environment.

Shadow AI agent discovery: How it works

Most AI agent discovery methods have the same blind spot: they only see what agentic platform vendors choose to expose through a public API. That leaves out an enormous amount of shadow AI activity, because a lot of the platforms where employees build agents don’t offer an API, or don’t expose agent details through it.

Nudge Security closes that gap with two complementary discovery methods:

API-based discovery connects to the platforms that do expose agent data: Salesforce Agentforce, Microsoft Copilot Studio, Google Gemini, ServiceNow, n8n, Tines, ChatGPT, Abacus.AI, and Workato. It continuously pulls agent name, creator, creation date, status, configuration, and risk insights.

Browser-based discovery, through the Nudge Security browser extension, covers the platforms that don’t expose an API at all: Cursor automations, OpenAI Agent Workflows, ChatGPT workspace agents, Zoom AI Workflows, Atlassian Rovo, Retool, Zapier Agents, and HyperAgent. The extension passively observes the moment an employee views, lists, or creates an agent, then adds it to your inventory automatically, with the creator, connected apps, permissions, and risk signals already attached.

Between the two channels, Nudge Security covers 17+ agentic platforms today, and the list keeps growing based on where customers are actually seeing agent activity.

Why browser-based shadow AI agent discovery matters

The agents built on platforms without APIs aren’t a minor edge case. They’re often where the real shadow AI lives. These are the fast, low-friction tools your engineers, ops teams, and product managers already love, precisely because nobody has to ask IT for permission to use them.

That’s also why they tend to carry the broadest access and the least oversight. An agent built in an afternoon to save someone twenty minutes can end up with standing access to a CRM, a code repository, or a shared drive, and no one outside the person who built it knows it’s there.

Assess: know what each agent can actually do

Finding an agent is only useful if you know what it’s capable of. For every agent it discovers, Nudge Security automatically surfaces these agentic AI risks:

• Publicly accessible agents that anyone in the org can use
• Agents with excessive, write, or destructive permissions
• Hardcoded credentials or PII sitting in agent instructions
• Unauthenticated MCP connections
• Dormant agents that still retain active access
• Agents whose creators have already left the organization

Govern: close the loop without becoming the bottleneck

Discovery tells you what’s out there. Governance is what you do about it, and Nudge Security is built so that step doesn’t require your team to chase down every agent creator one by one.

Once an agent is in your inventory, you can:

• Set an approval status: Approved, Allowed, In Review, or Not Permitted, for every agent in your environment.
• Assign an owner. A technical contact who’s accountable going forward, which may or may not be the same person who originally built the agent.
• Nudge the owner directly, through the browser extension, Slack, Teams, or email, to confirm intent, justify access, or fix a risky configuration. Their response is captured automatically in the agent record.

It’s proactive AI governance that doesn’t ask you to play whack-a-mole with every new agent that pops up, and it doesn’t ask your workforce to slow down to get security’s blessing before they build something useful.

The bottom line

Your job isn’t to stop people from building agents. It’s to make sure that when they do, someone knows it happened, knows what the agent can touch, and can act fast if something looks wrong.

Nudge Security gives you Day One AI agent discovery with risk context and governance workflows across the agentic platforms your employees are actually using.

Ready to see the agents that are already running in your environment? Start a free 14-day trial.

Sponsored and written by Nudge Security.

from the affordable-fiber-optics-is-woke dept

Earlier this year the Trump administration decided to illegally dismantle the 2021 Digital Equity Act, which was intended to help push internet access into long-neglected parts of the U.S. The Act took very vague aim at digital redlining, or the longstanding practice by telecom giants of refusing to upgrade (or at times even timely repair) broadband service in minority and low-income neighborhoods.

Big ISPs like AT&T have long been caught not only refusing to upgrade or repair broadband access in minority areas of cities like Detroit and Cleveland, but charging minority neighborhoods more money for slower service than their less diverse, more affluent counterparts.

Here’s the thing: the Digital Equity Act barely mentions race; it simply included some vague language stating that deployments and broadband grants must be even and non-discriminatory. The law identified minority status as one of eight nonexclusive indicators of barriers to digital access, while separately prohibiting discrimination in programs receiving funds.

As it has done with numerous other programs of this kind aimed at lowering broadband bills, the Trump administration clumsily — and quite illegally — tried to dismantle the whole law last year, insisting it was somehow racist against white people.

Last week, the DC District Court issued a ruling that allowed the Act to survive, but stripped out the already modest race-based components of the law, declaring them unconstitutional.

Groups like the National Digital Inclusion Alliance, which had done a lot of good studies on broadband redlining, celebrated the decidedly mixed bag:

“We are proud to have pushed to keep the Digital Equity Competitive Grant Program alive. This crucial program provides communities across the country not just with access or technology, but the skills, confidence, and pathways necessary to fully participate and thrive in our digital age. We fundamentally object to the government’s position that empowering Black and Brown communities is unconstitutional.“

So the competitive grant program at the heart of the law will continue, but there’s no real consensus on what that will look like or how helpful it will be under a federal government too racist and corrupt to function in the public interest. And there’s not much left to address the very real issue of broadband digital discrimination, which runs parallel with racial discrimination in other U.S. infrastructure sectors like energy.

The Infrastructure Act not only featured $42.5 billion to expand broadband access, it featured a lot of included (and adjacent) legislation intending to address racism in broadband and broadband affordability more generally. Most of that’s been brutally stripped away by the Trump administration, which is instead funneling billions of dollars to Elon Musk for costly Starlink service, then declaring the problem solved.

It’s a lovely bundle of corruption, racism, and regulatory/court capture all thrown into a stew by a bunch of zealots keen to pretend they’re engaging in policy reform and serious legal analysis.

Filed Under: broadband, digital discrimination, digital equite act, fiber, illegal, racism, redlining, ruling, telecom

AI AND ML

History’s biggest infrastructure build-out is pushing up hardware and software prices, analyst says

Spending on AI infrastructure is pushing tech sector expenditure to historic levels,  and enterprise customers are already footing the bill through higher software and hardware prices.

John-David Lovelock, Distinguished VP Analyst at Gartner, told The Register that tech companies’ own technology spending already amounted to around $1 trillion and was set to grow by 34.7 percent in 2026.

The colossal splurge is driving global sales, leading Gartner to raise its 2026 estimates to $6.37 trillion, a surge of 14.2 percent year-on-year. That’s up from April‘s forecast of $6.31 trillion and February’s $6.15 trillion.

Lovelock said overall growth was accelerating, although tech spending was moving at three different speeds. Devices, which include consumer purchases as well as business laptops, are set to grow by 9.8 percent. However, a significant chunk of that increase comes from higher prices as memory and chips become more expensive. Services and telecoms had lower growth, at 5.3 percent and 4.4 percent respectively.

Infrastructure as a service – one segment of cloud computing – is on pace to grow by 29.3 percent this year to reach $287 billion. In 2025, the market grew by 25.3 percent, Gartner said.

Much of the acceleration is being driven by technology companies equipping datacenters to provide capacity for the expected AI boom. Gartner’s spending figures exclude the buildings themselves and their cooling systems.

Lovelock told us: “The AI infrastructure build-out is the largest infrastructure project humanity has ever undertaken. Bigger than the US highways, bigger than European rail, bigger than the Great Wall of China, and the International Space Station combined.

“That’s how big this sucker is. It is transformational in that sense. We are shifting from a world where we spend on information technology to a world where we’re going to spend on intelligence technology. And right now, you can have your head in the sand and try and avoid that reality, but it’s coming.”

As enterprise software companies embed AI into their products and partner with foundation model builders such as OpenAI and Anthropic, organizations buying IT are concerned about price increases.

“CIOs are extremely concerned about price increases coming at them from all of their vendors, and they are pushing back hard in every area where they can. But the only place that they’re being successful is in the IT services area, where when a service provider adds AI to their product offering, the service provider is rewarded with a lower price point from their customers,” Lovelock said.

There were also unanswered questions about whether the market can sustain the increases, or whether higher prices are a defensive move by vendors trying to protect their market share. For example, by adding AI model Gemini to a search engine, it could be argued Google is defending its dominant position in the market from the threat of AI, as opposed to gaining new revenue.

There is also the problem of users trying to manage AI costs in response to price increases from model builders, several of whom have switched from capped subscription to usage-based billing.

Lower-cost models are coming onto the market from China, while developers are looking to use open source models where appropriate to curb their use of proprietary foundation models.

Whether the price crunch will leave the tech industry able to continue paying for its AI infrastructure building program is “the big open question,” Lovelock said. “But it’s not being investigated well or answered incredibly well.” ®