Mac Infostealers Turn to AppleScript and Trusted Brands as Attacks Grow Sharper

Security researchers have uncovered a new macOS infostealer that slips past defenses by pretending to be routine Apple security software. Called SHub Reaper, the malware represents the latest evolution in a two-year campaign built around the SHub Stealer family. It no longer relies on crude fake installers or obvious Terminal tricks. Instead it weaves itself into familiar system processes. And it does so with striking precision.

The discovery comes at a moment when macOS threats have accelerated. Reports from the past several months show infostealers expanding from Windows roots into Apple systems. Microsoft detailed how such campaigns now use social engineering and native tool abuse across platforms. Microsoft’s analysis from early May traces similar ClickFix-style tactics that Reaper builds upon. The pattern is clear. Attackers study Apple’s latest protections and adjust quickly.

Reaper starts its work on malicious websites that quietly profile visitors. These pages gather system details, WebGL fingerprints, VPN usage signs, browser extensions and hints of virtual machines or analysis environments. They scan for installed password managers such as 1Password, Bitwarden and LastPass. Crypto wallet extensions like MetaMask and Phantom draw special interest. Anti-analysis tricks follow. The sites interfere with developer tools, capture F12 keystrokes and trigger endless debugger loops. Some even switch to a Russian “Access Denied” page once they smell trouble.

Once a target engages, the delivery shifts to the applescript:// URL scheme. This opens Apple’s Script Editor and prompts the user to click Run. Here the deception sharpens. A fake XProtectRemediator security update window appears. Behind it the malicious AppleScript executes. Attackers pad the script with fake installer text and ASCII art. The dangerous commands stay hidden below the visible edge of the window. Victims see what looks like a normal Apple process. They rarely suspect anything.

But the theft runs deep. Reaper targets browsers including Chrome, Firefox, Brave, Edge, Opera, Vivaldi, Arc and Orion. It grabs data from crypto wallets such as Exodus, Atomic Wallet, Ledger Live, Electrum and Trezor Suite. macOS Keychain entries, Telegram sessions, browser extensions and developer files all fall into its net. An AMOS-style document stealer adds another layer. It combs Desktop and Documents folders for Word files, spreadsheets, JSON data, wallet backups and remote desktop configurations. Files larger than certain thresholds are skipped. PNG images over 6 MB stay behind. The total haul caps at 150 MB before compression and chunked upload to command-and-control servers.

Wallet applications face direct sabotage. The malware kills active wallet processes, swaps their internal app.asar resources with attacker-controlled versions, removes quarantine attributes and applies ad hoc code signing. The modified apps keep running. Funds can vanish later. After data collection the victim sees a fake compatibility error. Suspicion fades. The password prompt that appeared earlier has already delivered admin credentials.

Persistence marks Reaper’s biggest advance over prior SHub variants. The malware drops a LaunchAgent disguised inside a fake GoogleUpdate.app bundle. It registers as com.google.keystone.agent.plist. This mimics Google’s legitimate Keystone update service and runs every 60 seconds. From there remote servers feed new commands, execute additional payloads under the current user and clean up temporary files. What began as a one-time theft now becomes a lasting foothold. Future modules or remote access become possible.

SentinelOne first detailed these tactics in its report on the campaign. The firm noted how Reaper expands on earlier SHub methods that used fake installers and ClickFix social engineering. Those older attacks pushed victims to paste commands into Terminal. Apple responded in macOS Tahoe 26.4 with new warnings for suspicious paste operations. Reaper sidesteps that by routing through Script Editor. Different stages rotate disguises. Early lures mimic WeChat or Miro installers from typo-squatted domains that resemble Microsoft infrastructure. Later stages pose as Apple updates. Persistence hides in Google-branded directories. The malware borrows trust from three major technology brands in one chain.

This approach exploits how users and security tools perceive normal activity. AppleScript and shell scripts blend into everyday macOS behavior. Traditional file-based scanning like XProtect struggles to flag them. Monitoring for unusual osascript processes, unexpected LaunchAgents or Script Editor network traffic offers better signals. Yet many organizations and home users lack such visibility. The result is a stealthier threat that scales.

Broader industry data supports the trend. Jamf’s Security 360 report for 2026 shows Trojan detections on Macs jumping sharply. Infostealers now dominate many threat lists. Related families such as Atomic Stealer, also known as AMOS, DigitStealer and MacSync continue to evolve. A 9to5Mac report from April described additional undetected macOS samples that evade major antivirus engines. The shift toward Go, Rust and modular designs makes cross-platform operation easier. Attackers no longer treat macOS as an afterthought.

Microsoft has warned repeatedly about this expansion. Its February analysis highlighted campaigns delivering DigitStealer, MacSync and AMOS through malvertising, fake DMGs and ClickFix prompts. The firm urged monitoring for suspicious Terminal flows involving curl, Base64 decoding, osascript or JavaScript for Automation. Reaper fits neatly into that pattern while adding its own refinements. The malware’s use of fingerprinting and anti-analysis shows growing operational maturity.

Apple itself has tightened controls. Gatekeeper, notarization requirements and the Tahoe 26.4 Terminal warnings all aim to raise the bar. Yet social engineering remains the weak point. Users still click Run in Script Editor when prompted by what looks like an urgent security update. They enter passwords when asked. Fake error messages reassure them. The human element gives these campaigns their reach.

Experts advise sticking to official download sources. Avoid unsolicited links, ad-driven installer pages and claims that a manual security fix requires opening Script Editor. Check URLs carefully. Watch for unexpected password prompts paired with vague errors. Advanced users can review LaunchAgents in their Library folders and monitor for suspicious AppleScript activity. Simple habits still matter most.

Reaper does not rewrite the rules of macOS security. It exploits existing gaps with care and patience. Its success signals that threat actors now invest time studying Apple’s updates and user workflows. They test anti-analysis measures. They refine persistence. They rotate brands to stay under the radar. The days when macOS malware meant obvious Trojans appear to be fading. A more calculated, script-driven style is taking hold.

Security teams and individual users face a choice. They can treat every unexpected update prompt as suspect. Or they can hope their defenses catch what file scanners miss. The evidence from recent months suggests the first option carries less risk. Because once Reaper or its successors gain persistence, the data they seek is already on its way out the door.

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Post-SaaS Reckoning: How AI Shockwaves Reshape Software Valuations and Debt Markets

Software stocks cratered early this year. More than one trillion dollars in market value disappeared in a matter of weeks. Traders coined a blunt phrase for the bloodbath. They called it the SaaS apocalypse.

Yet the dust has begun to settle. Secondary loan prices have climbed back. Repricing activity for certain borrowers has resumed. And industry voices now describe a more measured transition. The market, according to a recent Yahoo Finance report, has entered a post-SaaS-pocalypse thaw. Not every credit benefits. But the selective recovery reveals how investors now separate durable platforms from vulnerable point solutions.

The trouble started in February. Advances in AI tools, particularly from Anthropic, triggered a sharp sell-off. Free plug-ins promised to automate business processes that once required dedicated software licenses. Enterprise buyers paused. Public valuations plunged. Hundreds of billions vanished almost overnight. The North American Tech Software Index dropped roughly 30 percent from its mid-September peak, PwC analysts noted in late February.

Private markets felt the aftershocks too. Private equity vintages from 2021 and 2022 faced markdowns. Limited partners demanded clearer proof of lasting value. Some pulled capital from private credit funds worried about software exposure. The term SaaS apocalypse spread from trading floors to boardrooms.

But the narrative was always too simple. AI agents excel at processing information. They still need reliable access to decades of mission-critical data. “The reality is more nuanced than either extreme,” wrote Jon Markham in Forbes. “AI agents are only as useful as the data they can access and work with. Think of it this way: an AI assistant is brilliant at processing information, but it still needs a filing cabinet.”

Those filing cabinets sit inside established enterprise systems. Moving that data proves expensive, slow, and risky. Companies therefore prefer to bring AI capabilities to where the data already lives. The result? Incumbents with deep workflow integration and proprietary context gain rather than lose.

Steve Banker explored this dynamic further in the same Forbes piece. He initially saw workflow applications at risk. AI-assisted development lets teams prototype in hours instead of months. The buy-versus-build equation appeared to tilt. Yet hidden costs quickly surface. Architecture, reliability, integration, compliance, and long-term maintenance consume the bulk of effort. “Where most internal builds fail is not in version one, it’s everything that comes after,” Chuck Fuerst told Banker.

Maintenance demands ongoing work on evolving APIs, regulatory shifts, data privacy rules, and edge cases. Software vendors maintain dedicated teams for exactly these tasks. Enterprises hesitate to bet their core operations on homemade tools that may break at scale. They extend existing platforms instead.

This nuance explains why the panic has cooled. ServiceNow executives declared the worst behind them. The company identified a $30 billion opportunity in AI-driven workflows. Josh Bersin highlighted the claim in early May analysis. Sentiment improved. Loan markets reflected the shift.

By mid-May, the leveraged loan index weighted average bid recovered to 95.40. That matched mid-February levels and erased a 123-basis-point drop from the early March low. Repricing volume jumped. Seven speculative-grade borrowers filed spread-lowering amendments on May 11 alone. The month-to-date total reached $17.2 billion. It surpassed the combined activity from February, March, and April.

Yet the thaw remains uneven. Double-B rated borrowers dominate. Their share of loans priced at par or above climbed back to 76 percent for double-B-minus credits by May 11. That matches January peaks. B-plus and B-flat names also gained ground. Single-B credits and those with heavy tech or AI-disruption exposure lag. Sponsor-backed single-B borrowers stay largely on the sidelines.

Investors now draw sharper lines. They reward companies with sticky data moats, regulatory entrenchment, and workflow gravity. They penalize seat-based tools that AI agents can replicate. PwC consultants advise private equity teams to focus diligence on defensibility beyond code. Domain depth, proprietary context, and mission-critical ties to financial or regulatory outcomes matter most.

Pricing models face pressure too. Traditional per-seat arrangements lose appeal when one AI agent performs the work of three analysts. Forward-looking firms experiment with outcome-based or value-based fees. Gross revenue retention gains favor over net figures as a truer test of durability.

Private equity dealmakers have grown more selective. Software still represents an attractive asset class. AI simply accelerates the gap between winners and laggards. Vertical solutions in healthcare, financial services, and cybersecurity often hold up better. Complex integration requirements and compliance burdens create natural barriers.

Free cash flow at the strongest SaaS businesses sits at record levels. EBITDA margins have rebounded since 2022. These fundamentals support selective buying. But 2021-era multiples no longer apply. Residual value in 2036 depends on how well companies embed AI into their core platforms rather than bolt it on.

The market has moved past the initial shock. Panic selling gave way to disciplined analysis. Companies that own the data layer and the workflow layer stand to benefit as AI agents proliferate. Those offering narrow, easily automated features face continued pressure.

And the repricing window? It favors the prepared. Higher-rated credits with limited disruption risk now access cheaper debt. Others wait. The post-apocalypse environment rewards clarity of strategy over hype. Software hasn’t died. Its economics have simply grown more demanding.

Buyers and lenders alike now ask tougher questions. Does this system embed itself so deeply that replacement costs dwarf any AI alternative? Can the vendor demonstrate measurable outcome improvements rather than feature lists? Answers separate survivors from casualties.

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First Proven COVID Prevention Pill Emerges Years After Pandemic Peak

Years after vaccines and treatments reshaped the fight against COVID-19, a simple pill has cleared a barrier that long seemed out of reach. For the first time, an oral antiviral has shown it can stop the virus from taking hold in people exposed at home. The advance comes from ensitrelvir. Developed by Japan’s Shionogi, the drug just earned fresh validation in a major trial whose results appeared this week.

The findings land at a curious moment. COVID circulates at lower levels than in 2020 or 2021. Yet it still sends vulnerable people to hospitals. Older adults. Those with weakened immune systems. Families caring for high-risk relatives. For them, a reliable preventive pill could change daily decisions about exposure. No more waiting to see what happens after contact.

The trial, known as SCORPIO-PEP, enrolled more than 2,000 household contacts who tested negative after a family member developed symptoms. Participants started a five-day course of ensitrelvir or placebo within 72 hours. By day 10, just 2.9 percent of those on the drug developed symptomatic, confirmed COVID-19. The placebo group saw 9 percent fall ill. That works out to a 67 percent reduction in risk, according to data published in the New England Journal of Medicine.

Among people with at least one risk factor for severe disease — about 37 percent of the study population — the protection looked even stronger. Risk dropped 76 percent. No one in either arm required hospitalization. Side effects stayed comparable to placebo. Notably absent were the dysgeusia complaints often reported with Paxlovid. And, as Nature reported on the results, confirmed infections of any kind fell from 21.5 percent in the placebo group to 14 percent with ensitrelvir.

Frederick G. Hayden, an emeritus professor at the University of Virginia School of Medicine and co-author of the study, didn’t mince words. “This is the first clinical trial of an oral antiviral drug to show significant protection against COVID-19,” he said. Hayden added that if approved by regulators, the drug “would be an important addition to current preventive strategies.” As a 78-year-old with comorbidities himself, he went further. He would use it after a known exposure.

The contrast with earlier efforts stands out. Pfizer’s nirmatrelvir, the main component in Paxlovid, targets the same viral main protease enzyme. Yet in household prevention trials it fell short of statistical significance, cutting infections by roughly 30 percent at best. Paxlovid excels at treating early infection in high-risk patients. Prevention proved trickier. Ensitrelvir appears to have cleared that bar. Japan already approved it for post-exposure use in March based on these data. The pill, sold there as Xocova, had previously won approval as a treatment in Japan and Singapore.

But. Success here doesn’t erase broader challenges. The trial focused on household contacts. Real-world use would require rapid testing and prompt prescribing within that 72-hour window. Access, cost, and awareness will determine whether the drug reaches those who need it most. And the pandemic has moved on. Many healthy adults now view COVID as manageable. For transplant patients on immunosuppressants or elderly residents in care facilities, the calculation differs.

Earlier coverage captured the uncertainty before these results. Gizmodo noted in its reporting that no pill had yet proven preventive power. Researchers had hints from animal studies. Human data remained elusive until now. The new trial closes that gap. Shionogi submitted the prevention indication to the FDA last year. A decision could come as soon as June 16, 2026.

Other antivirals continue to evolve the options. Paxlovid retains strong real-world evidence for reducing hospitalization and death in high-risk outpatients. A large 2025 analysis of more than 700,000 patients found it lowered those risks by 39 percent and 61 percent respectively, even among vaccinated individuals. Yet its drug interactions complicate use for some patients. Molnupiravir offers an alternative but with a narrower role. Remdesivir requires infusion. An effective oral preventive fills a distinct niche.

Experts caution against expecting miracles. Viral evolution continues. Future variants could test the drug’s potency. Resistance remains a theoretical concern for any protease inhibitor, though trial data so far show no red flags. Long-term studies will track rarer side effects once wider use begins. Still, the absence of increased adverse events in SCORPIO-PEP offers reassurance.

So what changes? For clinicians treating high-risk families, this data provides a concrete tool. A grandmother lives with her working-age children. One develops symptoms. Rather than isolate or hope for the best, the household can start ensitrelvir quickly. Protection isn’t absolute. Two to three percent still broke through. But the odds shift noticeably. That matters when stakes run high.

The timing feels both late and timely. Late because the acute emergency has passed. Timely because seasonal waves persist. Hospitals still see surges. And the next coronavirus threat may not wait decades. Broad-spectrum antivirals that work across variants or even related viruses could prove valuable insurance. Ensitrelvir hits a conserved protease target. That mechanism fuels optimism it might hold up.

Regulatory pathways in the United States will test how regulators weigh prevention data from a post-peak era. The FDA has maintained emergency use authorizations and approvals for treatments. Extending that to prevention requires clear benefit in the current risk environment. Japan’s decision to approve first reflects its experience with the drug as therapy and perhaps greater openness to incremental gains.

Researchers involved in the trial emphasize integration with existing tools. Vaccination remains foundational. Masks and ventilation still help in high-risk settings. Yet oral post-exposure prophylaxis adds a layer that doesn’t depend on behavior change alone. Take the pill. Reduce the chance of illness. Simple in concept. Complex in rollout.

Frederick Hayden and his colleagues designed SCORPIO-PEP to answer a precise question. Can an oral antiviral prevent symptomatic disease after close exposure? The answer arrived clearly. Positive. Statistically robust. Reproducible across subgroups. The publication in the New England Journal of Medicine lends weight. Independent experts will scrutinize the full dataset. Early reactions on platforms like X highlight both excitement and lingering skepticism about any new COVID intervention.

One thread runs through the coverage. This isn’t about returning to 2020. It’s about protecting the shrinking but still real population for whom the virus poses outsized danger. Care home residents. Cancer patients in treatment. People with long COVID histories wary of reinfection. For them, an additional option counts.

Shionogi plans further discussions with global regulators. Real-world evidence studies may follow approval. Pricing and distribution strategies will influence uptake. If the pill reaches pharmacies at reasonable cost with straightforward prescribing, adoption could follow. If entangled in insurance hurdles or limited to specialists, impact narrows.

The trial also tracked secondary outcomes. Lower viral transmission hints at possible community benefits. Fewer breakthrough cases mean less spread within households. That ripple effect could amplify value. Yet the primary endpoint focused on individual protection. That focus keeps expectations grounded.

Look back to the original Gizmodo piece from years earlier. It framed the quest for a preventive pill as unfinished business. Today that business has advanced. Not every exposed person will need or want the drug. But for those who do, evidence now supports a choice that didn’t exist before. A five-day course. Once daily. Oral. Effective.

Questions remain. Durability of protection beyond the trial period. Performance against currently circulating strains. Cost-effectiveness calculations in low-incidence periods. Interactions with common medications. These will occupy researchers and policymakers next. The foundational result, however, stands. An oral antiviral can prevent COVID-19 after exposure. The door has opened.

And with it comes renewed attention to antiviral development more broadly. Other candidates target different viral proteins. Some aim for pan-coronavirus activity. The success of ensitrelvir could spur investment. Or it could highlight how difficult true breakthroughs remain. Either way, the data mark a milestone. One worth recognizing for what it delivers today rather than what it might have achieved in 2021.

High-risk individuals and their doctors now have trial results to discuss. Regulators have clear efficacy numbers to review. The rest of us can note the progress. A pill that prevents. Finally.

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Canadian Privacy Clash: VPN Pioneer Windscribe and Signal Draw a Line Against Surveillance Bill

Windscribe pays a lot in taxes to Ottawa. The Toronto-based VPN provider built its business on a strict no-logs policy that has withstood court tests. Now that policy stands in direct conflict with proposed federal legislation. So the company says it will move its headquarters if the law passes unchanged.

Signal reached the same conclusion first. The encrypted messaging service, which prides itself on end-to-end encryption that even its own engineers cannot break, warned it would exit the Canadian market rather than weaken its core protections. Windscribe quickly echoed that stance. The two companies, though different in scale and focus, have drawn a sharp boundary.

At issue is Bill C-22, introduced in March 2026 and now under committee review. The legislation, formally titled the Lawful Access Act, would require telecoms, internet firms and other electronic service providers to retain user metadata for up to a year. It would also compel companies to make technical changes enabling police and intelligence agencies to access data more readily. The Globe and Mail first reported Signal’s position after Vice President of Strategy and Global Affairs Udbhav Tiwari spoke plainly.

“We would rather pull out of the country than be compelled to compromise on the privacy promises we have made to our users,” Tiwari said. He added that the bill could force the introduction of vulnerabilities. “Bill C-22 could potentially allow hackers to exploit these very vulnerabilities engineered into electronic systems, with private messaging services serving as an ideal target for foreign adversaries.”

End-to-end encryption, he noted, cannot coexist with exceptional access. Any route to it creates risk. Provisions that deliberately engineer weaknesses into systems like Signal represent a grave threat to privacy everywhere.

Windscribe’s reaction came via X. The company stated it would not lag far behind. “In its current state, VPNs would almost certainly require us to log identifying user data,” the post read. Then came the sharper language. “Signal isn’t headquartered in Canada so they can just shut off Canadian servers, but our HQ is. We pay an ungodly amount of taxes to this corrupt government, and in return they want to destroy the entire essence of our service to basically spy on its own citizens. Not happening. We’ll move HQ and take our taxes elsewhere.”

The message landed with force. And it wasn’t alone.

Public Safety Minister Gary Anandasangaree has pushed back. He described the bill as encryption-neutral during a Commons committee hearing. A spokesperson later told reporters the government is not requiring companies to install surveillance capabilities. Assertions to the contrary are false, the spokesperson said. Yet Apple, Meta and the Canadian Chamber of Commerce have issued similar warnings. So have two chairs of U.S. congressional committees.

The Electronic Frontier Foundation called the measure a repackaged version of last year’s failed Bill C-2. That earlier proposal collapsed under privacy backlash. Bill C-22 keeps the core elements with only modest adjustments. It demands metadata retention for a full year. Metadata can reveal who communicates with whom, approximate locations and timing patterns even when message content stays hidden. The bill also grants the Minister of Public Safety authority to order companies to build access mechanisms. These orders come with a condition. They must not create a systemic vulnerability. The definitions of both systemic vulnerability and encryption remain vague enough to invite broad interpretation.

“Surveillance of encrypted communications is fundamentally a systemic vulnerability,” the EFF wrote in its analysis. “When you build these systems, hackers will come.” The organization highlighted risks of expanded information sharing with foreign governments, including the United States. EFF detailed how the legislation could conscript private companies into extended government surveillance roles with insufficient safeguards.

Meta’s head of public policy in Canada, Rachel Curran, testified before the committee. She warned the bill could require companies to break, weaken or circumvent encryption or zero-knowledge architectures. It might even force installation of government spyware directly on systems. Apple has taken a comparable position. The Canadian Chamber of Commerce raised concerns about weakened encryption and deterred investment.

Two U.S. House committee chairs sent a letter to Canadian officials in early May. They expressed worry that the bill would expand surveillance powers in ways that create cross-border risks to American security and data privacy. The letter highlighted potential compulsion of American companies to build backdoors. Such changes could introduce vulnerabilities exploitable by hackers, adversaries and cybercriminals. Paubox covered the letter and its implications for cybersecurity norms.

Windscribe brings a distinct perspective. Founded in Toronto in 2016, the company maintains a lean operation focused on practical privacy tools. Its no-logs policy faced a real test in 2025 when Greek authorities sought user data. Courts found nothing to hand over. The company had logged nothing. That outcome reinforced its public claims. Relocating headquarters would allow it to preserve that architecture outside Canadian legal reach. Shutting down local operations entirely remains an option but moving the HQ offers a cleaner separation.

Observers note this isn’t the first time Canada has tried such measures. Successive governments have returned to lawful access ideas over more than a decade. Each attempt met resistance. Previous versions stalled. Bill C-22 follows a familiar pattern yet arrives amid heightened global tension over encryption. The United Kingdom’s demands on Apple for access to encrypted iCloud data led the company to withdraw a security feature rather than comply. Signal itself once warned it would exit Sweden over comparable proposals. That threat contributed to long delays in the Swedish bill.

So the threats carry weight. Companies aren’t bluffing when they say compliance would destroy their product. For Signal, any mandated access mechanism would mean ceasing to offer the service users chose. For a VPN like Windscribe, mandatory logging of identifying data would erase the anonymity that defines its value. Users seeking to protect their traffic from surveillance or censorship would lose a trusted Canadian option.

Parliamentary committee hearings continue. Amendments remain possible. Yet the government’s responses so far suggest little appetite for major changes. Officials repeatedly insist critics misunderstand the bill. They point to its aim of updating outdated laws to combat modern crime and national security threats. Digital networks have evolved. Law enforcement tools have not kept pace, ministers argue.

But the pushback grows louder. Cybersecurity experts, human rights groups and now multiple technology providers line up against the current text. Michael Geist, a leading technology law professor, compared the government’s handling to its approach on the Online News Act. Dismissal of expert concerns, he wrote, follows a troubling playbook. His detailed critique appeared on his site and Substack just days ago. Michael Geist’s analysis traces how warnings from Signal, Apple, Meta, U.S. lawmakers and cybersecurity advisors have all been waved aside.

Canadians could face a practical outcome. Secure services might simply become unavailable. Or available only in weakened form. VPN users might turn to providers based elsewhere. Messaging apps that refuse to comply could disappear from Canadian app stores or servers. The bill’s broad language on electronic service providers leaves room for regulators to include many categories later. Messaging platforms, operating systems and apps could fall under future definitions.

Windscribe’s CEO Yegor Sak has spoken before about the company’s commitment. In past statements he made clear that if Canadian jurisdiction prevents upholding the privacy policy, the company will not remain based in Canada. The recent X posts align with that long-held view.

The situation carries irony. Canada positions itself as a defender of democratic values and digital rights on the world stage. Yet this legislation risks isolating the country in technology policy. Allies to the south already voice alarm over potential spillover effects. European debates on chat control and scanning proposals face similar criticism. The pattern repeats. Governments want visibility into encrypted channels. Providers say visibility cannot come without breaking the encryption that makes those channels safe.

TechRadar first connected the Windscribe response directly to Signal’s statement in coverage published today. The article noted the company’s Greek court validation and the logistical differences between the two firms. TechRadar reported that committee hearings began May 7 and the bill remains in review.

Whether lawmakers will heed the warnings or proceed with only cosmetic tweaks will shape the outcome. History suggests confrontation. Companies have shown they will follow through. Signal delayed features or limited availability in other jurisdictions rather than compromise. Apple litigated in the UK. Windscribe, with its headquarters on the line, now signals the same resolve.

The stakes extend beyond one country. Each backdoor created anywhere weakens security everywhere. Each metadata store becomes a target. The companies say they see no path to compliance that preserves their promises. So they prepare to leave. The Canadian government insists they are mistaken. The coming weeks in committee may decide which side holds.

But one fact already stands clear. Privacy-focused services will not quietly accept mandates that undermine their foundations. Windscribe and Signal have made that plain.

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Southeast Asia’s AI Surge Collides With a Power Grid That Can’t Keep Up

Singapore once led the charge. Now its data center pause reveals the tension. Malaysia races ahead in Johor. Thailand approves billions in projects. Yet the numbers tell a harder story. Power demand from data centers in the region stands set to quadruple from 2.6 gigawatts to 10.7 gigawatts between 2025 and 2035.

Wood Mackenzie laid out that forecast in December 2025. The jump would lift data centers from 1% of peak demand today to 3-4% by 2035. That growth equals seven to 10% of all new electricity consumption across Southeast Asia over the decade. Roughly the same as Singapore’s entire current power use.

But the TechRadar analysis from earlier this year already flagged the risk. Energy constraints sit underestimated while governments chase AI investment and hyperscalers hunt cheap land and lower costs. Joe Ong, ASEAN vice president and general manager at Hitachi Vantara, put it plainly in that TechRadar article. “The artificial intelligence (AI) boom is often framed as a race for compute power, talent and investment. But beneath the surface, a different constraint is emerging; one that is far less visible and harder to scale. Energy.”

Short. Direct. And increasingly accurate.

The International Energy Agency sees Southeast Asia driving a quarter of global energy demand growth by 2035. Data centers already number more than 2,000 across Indonesia, Malaysia, Singapore, Thailand, Vietnam and the Philippines, according to Ember. A standard AI facility can draw as much electricity as 100,000 households. Cooling demands soar in the tropical heat. Grids strain. Water use draws scrutiny.

Malaysia plans to add as much as eight gigawatts of gas-fired power by 2030 to meet data center needs. Its utility, Tenaga Nasional Berhad, has fielded applications for 11,000 megawatts of data center supply. That figure equals nearly 40% of the country’s current total generation capacity. Projections show data center electricity demand there could hit 5,000 megawatts beyond 2035.

The Grid Reality Check

Yet supply timelines lag. Grid congestion grows. Intermittency of renewables clashes with the always-on requirement of AI training runs that can demand hundreds of megawatts without pause. In Indonesia, coal still generates nearly 70% of electricity. Power consumption by data centers there could quadruple by 2030, per Ember’s analysis in its recent ASEAN report.

Singapore learned early. It imposed a moratorium on new data centers years ago. Growth resumed under tighter rules that stress efficiency, low-carbon power and tighter alignment with energy planning. Land remains scarce. The island imports most of its energy. Its data centers already tripled power demand in recent years.

Malaysia and Thailand now position as alternatives. Thailand’s Board of Investment approved $21 billion in data center projects in 2025 alone. Ninety percent concentrate in the Eastern Economic Corridor. Capacity in Bangkok could surge more than 10 times between 2026 and 2030. Jakarta follows with a projected 4.4 times increase.

But the Associated Press reported in March 2026 that several nations now revisit nuclear plans shelved years ago. Malaysia revived its program specifically for data centers. Indonesia, Vietnam and others eye small modular reactors. The reason stays simple. Tech giants demand uptime measured in nines. Solar and wind alone cannot deliver that reliability at the densities AI requires.

“The Iran war has caused the price of oil to increase, raising concern on the reliability of traditional energies,” one data center executive told Fortune in late March. The piece highlighted how conflict in the Middle East adds pressure on fossil fuel supplies already stretched by AI growth.

And the heat makes everything worse. Tropical humidity forces more energy into cooling. Traditional air conditioning systems lose efficiency. Some operators explore liquid cooling or waste heat reuse. Others simply pay higher tariffs. On-grid electricity costs for data centers in the region could quadruple to $10.2 billion annually by 2035, according to Wood Mackenzie.

Local resistance builds in places. Communities question water consumption when reservoirs run low. Regulators in Johor rejected nearly 30% of recent data center applications over efficiency and grid concerns. Vietnam already saw power shortages during peak seasons even before the latest AI wave.

Nuclear Returns to the Table

The nuclear discussion marks a policy pivot. Southeast Asia never operated a commercial nuclear plant. Now five countries pursue programs tied directly to digital infrastructure goals. Power purchase agreements from Microsoft, Amazon and others provide the revenue certainty developers need. The shift reframes energy policy as industrial policy.

Global data center electricity use surged again in 2025 despite some deployment bottlenecks, the IEA noted in recent updates. AI already represents a fast-rising share of workloads. One forecast sees it driving 50% of data center capacity by 2030, up from 25% today.

Operators respond with varied strategies. Some hyperscalers source half their Malaysian power from solar and plan to expand that model. Others push for grid modernization, better interconnectivity across ASEAN and accelerated storage deployment. Yet structural gaps persist. Transmission infrastructure often cannot deliver new generation to the exact sites where data centers cluster.

Recent announcements underscore the momentum. Gorilla Technology revealed plans for a 200-megawatt AI data center campus in Thailand in early May 2026. Chinese firms such as ByteDance and Alibaba shift more AI workloads to Malaysia, drawn by available power and Nvidia hardware access. The regional data center market could exceed $30 billion by 2030.

Still, vacancy rates across Asia tightened last year even as 1.5 gigawatts of capacity came online. Demand outruns supply. Southeast Asian hubs show the fastest projected growth rates through the end of the decade.

The pattern mirrors what the United States and Europe faced earlier, only compressed. Here the baseline grids start weaker in many markets. Urbanization and industrial demand already pull hard. AI adds a new, concentrated load that behaves differently from traditional factories or homes.

Success will hinge on more than raw megawatts. Integration matters. Energy planners must coordinate with data center developers months or years in advance. Efficiency gains from better chips and optimized software help but cannot offset the sheer scale of projected growth. Data quality and governance also shape outcomes. More compute without clean inputs simply amplifies errors at higher cost.

So governments face choices. Accelerate fossil capacity and accept higher emissions. Bet on renewables and storage while managing intermittency risks. Or embrace nuclear for firm, low-carbon baseload. Many appear prepared to pursue all three in parallel.

The underestimated part, as the original TechRadar piece argued, lies in the visibility. Compute announcements make headlines. Power contracts rarely do. Yet the latter determines which ambitions survive contact with physical limits. Those limits now press hard across the region.

Ember projects that between 2% and 30% of national electricity demand could flow to data centers by 2030 in major Southeast Asian markets. The upper end applies to places like Malaysia. A third of ASEAN data centers could run on solar and wind under optimistic scenarios. The gap between hope and delivery remains wide.

Operators who solve the power equation first will capture market share. Those who treat energy as an afterthought risk delays, cost overruns and regulatory blocks. The AI race in Southeast Asia has quietly become an energy race. The winners will measure success not just in racks deployed but in electrons reliably delivered.

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Google and SpaceX Eye Orbital AI Compute as Earth Hits Power Limits

Google has held discussions with SpaceX about launching test hardware for data centers that would orbit the Earth. The talks surfaced this week. They signal how two of technology’s most ambitious companies see the next front in artificial intelligence infrastructure moving off the planet.

The conversations center on Google’s Project Suncatcher. Announced last November, the initiative envisions clusters of solar-powered satellites loaded with the company’s Tensor Processing Units. These chips would tap uninterrupted sunlight in space. They would sidestep the massive electricity and cooling demands that now strain terrestrial grids. Google’s official blog post describes an interconnected network designed for massively scaled machine learning. Early research includes satellite constellation design, control systems, communication methods and radiation testing on TPUs.

But. The project needs rides to orbit. And SpaceX possesses the most frequent and capable launch system operating today. According to The Wall Street Journal, Google is in talks with SpaceX for a rocket-launch deal. The search company has also approached other providers including Planet. A person familiar with the matter confirmed the discussions to the Journal. The potential partnership would place the companies in an unusual spot. They would collaborate on launches while preparing to compete in the emerging market for orbital data centers.

Elon Musk has pushed this idea hard. After SpaceX acquired xAI in February he declared that advances in AI depend on large data centers requiring immense power and cooling. “Global electricity demand for AI simply cannot be met with terrestrial solutions,” Musk said. “In the long term space-based AI is obviously the only way to scale.” The Mashable report on the talks quotes him directly. Last week Anthropic agreed to use the full output of xAI’s Colossus supercluster in Memphis. The deal included interest in future orbital work. SpaceX’s acquisition of xAI ties these threads together.

SpaceX itself has filed with the FCC to deploy up to a million satellites as part of an orbital data center constellation. The company highlighted the concept in materials tied to its planned IPO. Valued potentially at $1.75 trillion the listing could come as soon as this year. A deal with Google which already owns about 6 percent of SpaceX would strengthen the pitch to investors. TechCrunch noted the timing. It reported that current orbital concepts remain far more expensive than ground-based facilities once launch and satellite construction costs enter the equation.

Yet the pressure on Earth continues to mount. Data centers already consume huge shares of local power in Virginia, Texas and elsewhere. Hyperscalers face resistance from communities worried about electricity prices, water use for cooling and environmental impact. In space solar arrays could generate power continuously without night or weather. The vacuum provides free radiative cooling. No land permits. No neighborhood hearings. Proponents argue these advantages will eventually outweigh the staggering expense of reaching orbit.

Google’s own moves reflect growing conviction. CEO Sundar Pichai told an audience in New Delhi in February that he never expected to spend time figuring out how to put data centers into space. The company plans to launch two prototype satellites in partnership with Planet by early 2027. Those spacecraft will test hardware durability in the radiation environment and gather data on orbital operations. A preprint paper accompanying the announcement outlined initial findings on TPU resilience.

Other players watch closely. Nvidia has posted jobs for orbital data-center system architects. Jeff Bezos through Blue Origin and Sam Altman of OpenAI have expressed interest in space-based compute though Altman once called the economics ridiculous. A New York Times article from January captured the shift in thinking. Leaders who once dismissed the concept now view it as perhaps the only long-term answer to AI’s appetite for energy.

Challenges stack up. Latency poses one immediate obstacle. Signals traveling to and from geostationary or low-Earth orbit introduce delays that could slow interactive AI applications. Radiation can degrade electronics over time though Google has begun testing its chips. Maintenance becomes nearly impossible once satellites launch. Any failure requires replacement from the ground. And the upfront capital costs remain savage. Starship aims to slash launch prices but even optimistic projections show orbital facilities costing multiples of equivalent terrestrial ones today.

SpaceX has acknowledged the risks. In its S-1 filing the company warned that orbital AI compute involves unproven technologies operating in a harsh environment. “These initiatives may not achieve commercial viability,” the document stated according to Reuters. Musk nevertheless calls the direction obvious. His vision extends beyond Earth orbit to lunar and Martian industrialization.

The Google-SpaceX talks come at a moment of convergence. Google needs launch capacity and expertise in satellite fleets. SpaceX needs credible customers and use cases to justify its enormous constellation plans. Starlink already provides high-bandwidth connectivity that could link orbital compute back to Earth. The combination could create a closed loop. Satellites powered by the sun. Cooled by space. Connected by laser or radio links. Trained models returned via Starlink.

Analysts question the timeline. Prototypes in 2027 will deliver proof of concept at best. Commercial scale could lie a decade away. Still the conversation has moved from science fiction to boardroom strategy. Bloomberg reported the talks on May 12 citing the Journal’s sources. Its coverage noted Google’s prior comments about exploring multiple launch partners.

So the race accelerates. Hyperscalers race for more compute. Launch providers race to drop costs. Chip designers race to harden hardware against radiation. The prize is access to effectively unlimited clean power for the next generation of AI models. Whether that power floats 500 kilometers above the planet or remains bound to sprawling facilities in the American heartland will shape technology for decades.

Google and SpaceX have not confirmed a final agreement. The discussions could still collapse over price, technical details or strategic concerns. But the fact they are happening at all reveals how seriously both organizations treat the constraints now facing AI development on Earth. Power. Cooling. Land. Regulation. In orbit many of those problems simply vanish. The new ones that replace them will test engineering ingenuity for years to come.

And if the prototypes work? If Starship delivers payloads cheaply enough? The night sky could one day hold not just stars but glowing clusters of silicon thinking at scales impossible on the ground. The talks between Google and SpaceX mark an early step toward that possibility.

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Microsoft Fires Back: Why Windows 11’s CPU Boost Isn’t Cheating

Scott Hanselman didn’t hold back. The Microsoft vice president took to X last week to confront critics head-on. Their target? A new Windows 11 feature that briefly maxes out CPU clocks to make menus snap open and apps launch faster.

Call it the Low Latency Profile. It ramps processor frequency for one to three seconds during interactive tasks. Start menu. Context menus. App launches. The result feels immediate. Tests show up to 70% faster Start menu responses and 40% quicker launches for built-in apps like Edge and Outlook. (Windows Central, May 7, 2026)

But not everyone cheered. Online voices labeled it a band-aid. A lazy shortcut. Proof that Windows had grown too bloated to run efficiently without brute force. Hanselman pushed back. Hard.

“Apple does this and y’all love it.” He followed with a sharper point. “All modern operating systems do this, including macOS and Linux. It’s not ‘cheating’; this is how modern systems make apps feel fast: they temporarily boost the CPU speed and prioritize interactive tasks to reduce latency.” (Pureinfotech, May 11, 2026)

The exchange revealed more than one executive’s frustration. It exposed a deeper tension in how users judge operating systems today. Speed. Responsiveness. That instant feel when you click. Benchmarks matter less than perception. And Windows 11 has struggled with that perception for years.

Modern interfaces carry weight. The Start menu no longer simply unhides a static list. It pulls cloud recommendations, web results, live tiles. File Explorer handles thumbnails, previews, network shares. Background services multiply. Web technologies replace lean native code. Each addition extracts a cost in latency. Milliseconds add up.

So Microsoft turned to a proven tactic. Predict high-priority user actions. Boost frequency and scheduler priority. Complete the task quickly. Drop back to idle. Smartphones do it constantly. Tap the screen. Cores wake. Clocks spike. Frame renders. Power falls away milliseconds later. Users never notice the dance. They just feel the device responds.

macOS takes the same approach. Aggressive clock boosts on clicks and animations. Quality of Service classes help the scheduler anticipate needs. Linux kernels rely on frequency governors and schedutil to wake performant cores the moment UI interaction begins. The techniques differ in detail. The goal stays identical. Reduce perceived lag.

Hanselman drove that message home. He pointed critics to macOS’s powermetrics tool. Check it yourself, he suggested. Watch the bursts. He also corrected misconceptions about Linux. “Linux achieves its responsiveness through the same methods, using the kernel scheduler, CPU frequency governors, and modern CPU boost technologies like schedutil.” The negativity, he added, sometimes came from “computer science enthusiasts without experience in computer science making assumptions based on their intuition.”

Yet the criticism landed because it touched a nerve. Windows 11 launched with hardware requirements that frustrated many. Early builds felt heavier than Windows 10 in daily use. Later updates introduced AI features that some saw as distractions from core reliability. Trust eroded. So even a sensible engineering choice met skepticism. Why does my PC need to redline the CPU just to open the Start menu?

The answer sits in the evolution of software. Older Windows versions did less. Windows 95’s Start menu displayed a pre-rendered panel. No scaling gymnastics. No search indexing in the background. No synchronization with online accounts. That simplicity delivered raw speed on modest hardware. Today’s expectations demand more. Users want rich previews, personalized suggestions, seamless integration across devices. Delivering that without lag requires clever resource management.

This Low Latency Profile forms one piece of a larger initiative. Microsoft calls it Windows K2 internally. The effort combines short CPU bursts with deeper code optimization. Teams strip legacy components. They migrate more shell elements to WinUI 3 for lighter rendering. Scheduler tweaks improve how the OS handles processor power states and C-state transitions. The company has already begun shipping some of these changes to Insiders and retail users. (Windows Latest, May 11, 2026)

Early tests impress. On budget hardware and virtual machines, the difference turns sluggish experiences snappy. ARM-based systems like those with Snapdragon X Elite benefit especially. Their rapid power-state transitions pair perfectly with brief boosts. Battery and thermal impact stays low because bursts last seconds, not minutes.

But Hanselman stressed balance. “There are actual things wrong and smart people are working to fix them.” The boost doesn’t replace optimization. It complements it. Microsoft pursues both. Legacy code cleanup continues. File Explorer gains attention. The Run dialog moves to native frameworks. Performance work stretches across multiple fronts.

The episode highlights how Microsoft communicates engineering decisions in 2026. Executives engage directly on social platforms. They explain trade-offs in plain language. Transparency carries risk. Critics seize on admissions that the OS needs help. Yet silence would fuel conspiracy theories about hidden tricks.

Users ultimately vote with their experience. If the Start menu opens instantly, if apps feel immediate, if the system stays cool and efficient, complaints fade. The Low Latency Profile aims for exactly that outcome. It doesn’t promise higher benchmark scores in sustained workloads. It targets the moments that shape daily satisfaction. Click. Respond. Done.

Whether the feature ships widely this year remains unclear. Testing continues in Insider builds. Adjustments to duration and triggers could still occur. What won’t change is the underlying principle. Modern operating systems manage power and performance dynamically. They always have. The difference now lies in how aggressively and intelligently they do so.

Microsoft has joined the conversation openly. Hanselman’s defense may not sway every skeptic. It does clarify the playing field. Apple does it. Linux does it. Smartphones perfected it. Windows 11 is catching up in visibility and effectiveness. The real test arrives when millions of users encounter the smoother experience. Then the debate shifts from theory to results.

And results, in the end, determine whether Windows wins back the fans it seeks.

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