Cyber incidents hit millions of patients, disrupt hospital systems 

Posted in Commentary on September 2, 2026 by itnerd

A series of newly disclosed cyber incidents is affecting healthcare organizations across the U.S., exposing millions of patient records while also disrupting systems used to deliver care.

Aesto Health has confirmed a breach affecting 9.54 million people and at least 30 healthcare provider clients, making it the second-largest confirmed healthcare data breach of 2026 to date. Hackers accessed Aesto’s AWS environment and stole information that included SSNs, financial account information, medical histories, health records, insurance information and claims and billing data.

Separately, Nutex Health, which operates 27 hospitals and outpatient facilities across 12 states, confirmed that attackers stole patient, employee and healthcare provider information along with confidential business and financial data. The attackers are now threatening to publish the stolen information.

Meanwhile, Luminis Health is dealing with an active cyberattack that has made certain systems unavailable across its Maryland healthcare network, affecting access to some patient services.

Damon Small, Board of Directors, Xcape, Inc.:

“Three separate healthcare cybersecurity incidents in three weeks represent an alarming escalation that directly threatens patient care alongside data privacy. The disruption across Aesto Health, Nutex Health, and Luminis Health demonstrates that the operational risk extends far beyond exfiltrated protected health information (PHI) or regulatory fines. When cyber incidents cut off access to electronic health record (EHR) systems, clinical operations grind to a halt, delaying necessary care and risking patient safety. Healthcare providers have historically viewed IT systems as ancillary, underfunding them both operationally and fiscally. These recent events provide a definitive signal that clinical IT infrastructure is just as essential to positive patient outcomes as doctors, nurses, and medical machinery. To protect patient safety and maintain clinical continuity, healthcare executives must elevate IT security to a core operational priority, enforce strict third-party vendor risk controls, restrict network exposure, and maintain offline, immutable backups.

“Critical Takeaways:

  • Clinical IT infrastructure directly affects patient care delivery, making its defense as vital to health outcomes as doctors, nurses, or medical equipment.
  • EHR downtime and business associate breaches create immediate operational paralysis that extends far beyond health record theft.
  • Health system leadership must stop treating IT as an ancillary back-office expense and fund operational technology security accordingly.

“Treating hospital IT like an ancillary expense works right up until the emergency room is forced back to pen and paper.”

John Strand, Owner, Black Hills Information Security, Inc.:

“I am deeply concerned that breaches of this scale and magnitude aren’t even making it into mainstream media anymore.

“If you go back ten years or so, something like this would have been front-page news. But these breaches have happened so frequently, and the story is essentially the same story repeated over and over again with a different organization’s name attached to it, that I think a lot of media outlets simply don’t want to run them anymore. People don’t click on those articles like they used to.

“And I think that’s where the real danger is.

“We’re becoming numb to breaches of this magnitude. Unless you’re one of the people or organizations directly impacted, a massive cybersecurity breach barely registers on the radar for most Americans anymore.

“That normalization should concern us. The breaches haven’t become less serious. We’ve just become accustomed to them.”

Denis Calderone, CTO, Suzu Labs:

“Healthcare as a sector is having a bad year. Luminis Health in Maryland is the most recent, with systems still down and patients calling a phone number instead of logging into MyChart. The Gentlemen ransomware group is threatening to publish stolen data from Nutex Health’s 27 hospitals. Aesto Health had a breach back in December that took five months to confirm, and the number just landed on the HHS breach portal this week at 9.5 million patients across 30 providers. Two days ago it was McKesson and 284 million claimed records. DentaQuest already set the high mark for the year at 15 million. And this is just what’s making headlines right now.

“The legal and regulatory machinery is now moving as fast as the attacks. Nutex disclosed the breach to the SEC on August 24. A class action was filed in Texas three days later. That’s before the company even finished determining what was stolen. The Aesto breach happened in December 2025, wasn’t confirmed until May 2026, and is now the second-largest healthcare breach of the year at 9.5 million individuals. In April, HHS’s Office for Civil Rights settled four separate ransomware investigations for a combined $1.165 million, and the root finding in every single one was the same: failure to conduct an adequate risk analysis. Data breach class action filings went from 604 in 2022 to nearly 1,500 in 2024, and healthcare is feeding that pipeline faster than any other sector. The window between breach disclosure and lawsuit has effectively collapsed.

“The Gentlemen ransomware group went from emergence in mid-2025 to over 675 claimed attacks, with healthcare as their second most targeted sector. Aesto was breached in December, and confirmation didn’t come until May. Meanwhile, the legal bar for what constitutes reasonable cybersecurity in healthcare is already set, and it’s set by freely available government guidance. Plaintiffs’ attorneys are citing HIPAA Security Rule requirements and published CISA recommendations to establish a standard of care in court. The proposed Security Rule update isn’t creating new expectations. It’s codifying what juries are already being told is the baseline. If your organization can’t demonstrate its meeting that bar today, the breach is only the first problem.”

Healthcare is a sector that is targeted by hackers. Which means that if you are in healthcare, you need to defend yourself accordingly

Congress temporarily extends CISA 2015 through December

Posted in Commentary with tags on September 2, 2026 by itnerd

The House has approved a stopgap government funding bill that temporarily extends the Cybersecurity Information Sharing Act of 2015 through December 11, preventing the key cyber law from expiring at the end of September. The Senate previously passed the measure, which now heads to the President for his signature.

Industry groups and federal cyber officials have warned that allowing CISA 2015 protections to lapse could discourage companies from sharing breach and threat information and disrupt real-time intelligence sharing between government and the private sector.

CISA 2015 briefly expired during last year’s government shutdown, and efforts to secure a long-term reauthorization have repeatedly stalled despite calls from the White House and industry for a more permanent solution. The stopgap bill also extends the Technology Modernization Fund and National Cybersecurity Protection System through December 11.

Doc McConnell, Head of Policy and Compliance, Finite State:

“Although it is a positive sign that Congress has extended the Cybersecurity Information Sharing Act of 2015 through December rather than allow it to lapse, short-term renewals are counterproductive to our goals of shared cybersecurity responsibilities and free-flowing threat information.

“The United States has placed a bet that voluntary information-sharing is the best model for collective security. The benefit of pooling threat data means companies can learn from threat activity across the ecosystem and proactively defend themselves, rather than waiting to be targeted individually. CISA 2015 reduces the potential risks to sharing this data by creating liability protections, exemptions from antitrust concerns, and prohibitions on using this data for regulatory enforcement actions.

“Our voluntary approach stands in stark contrast to governments elsewhere, such as the European Union, that have strict mandatory reporting and disclosure requirements. If we want to demonstrate that the voluntary approach can be successful, we need a long-term, predictable structure to build trust. We cannot build that trust if companies expect their risk calculus to change every 90 days.”

Denis Calderone, CTO, Suzu Labs:

“Congress keeps telling us cybersecurity is a national priority and then governing it like it’s an afterthought. This is the second near-lapse of CISA 2015 in a year, and last year’s brief expiration during the shutdown sent legal teams scrambling. Some organizations paused their threat sharing programs entirely until the protections were confirmed back in place. The liability protections in CISA 2015 are what make private sector threat sharing work, and that kind of uncertainty slows down exactly the intelligence sharing that is so needed in the industry. The law has had broad bipartisan support since it was enacted in 2015 and the White House has been pushing for a permanent reauthorization. If you can’t get a long-term deal done on a law that virtually nobody opposes, that tells you everything about where cyber policy actually ranks on the Hill.”

Seemant Sehgal, Founder & CEO, BreachLock:

“Every few months, the industry has to wonder whether the legal framework that makes threat sharing possible will still exist by the end of the quarter. Companies making decisions about what to share and with who are already calculating risk, and this kind of administrative instability changes those calculations before any law actually expires. Extending CISA 2015 to December 11 buys time, but it still doesn’t fix what the recurring uncertainty is doing to the underlying trust that makes information sharing work in the first place.”

Donald McFarlane, Advisory Board Member, Xcape, Inc.:

“It is disappointing that cybersecurity information sharing has once again proved so intractable in Washington.

“I share Senator Paul’s broader concerns about government overreach, but opening voluntarily-shared threat intelligence to FOIA, or stripping away the narrow good-faith liability protections that enable sharing, seems like solving the wrong problem.

“If Washington cannot provide a durable framework for collective defense, it only serves to make private-sector partnerships that are less dependent on Washington look more attractive.”

John Strand, Owner, Black Hills Information Security, Inc.:

“In the early years of computer security, there was a huge reticence to publicly share information about breaches or vulnerabilities in products. Even penetration testing was something that was largely done in the shadows.

“Laws like this helped pull that information sharing out of the darkness. And that sharing is something the entire security industry now lives and breathes on. Researchers share vulnerabilities. Organizations share information about attacks. Security teams share indicators and techniques. That flow of information makes everybody better at defending their networks.

“So I think it’s incredibly important that they extended it. I’m just a little disappointed that this is another short-term extension that only buys us a few more months.

“This shouldn’t be something we have to keep revisiting every few months. It needs to be permanent. We need to make sure the level of information sharing we’ve developed over the past seven or eight years continues without organizations having to wonder whether the legal protections that helped enable it are suddenly going to disappear.”

The CISA does a lot of good work. Honestly, they need to funded in the long term. Otherwise the US is really going to come under threat from a cybersecurity standpoint.

Dropbox says about 5,000 accounts compromised in epic hack 

Posted in Commentary on September 2, 2026 by itnerd

Online file storage and sharing service Dropbox accounts were compromised in August after hackers exploited a flaw involving Lenovo’s account authentication system, with files accessed in some cases. Dropbox said hackers viewed and downloaded files from roughly 5,000 accounts

Wait? Dropbox is still a thing?

Anyway, commenting on this is Brian Higgins, Security Specialist at Comparitech:

“Dropbox has been successfully infiltrated more than once in the past. It’s notable that they are blaming affected account holders for lackadaisical independent security measures which could be an emerging trend for victim organisations. 

What also draws attention is the focus on share price fluctuations peri and post breach. 

Most companies of commensurate size tend to see a swift bounce-back so it’s worth monitoring the markets for a day or two for any ‘material impact’ on their business. 

Unfortunately for anyone affected Tim Rathschmid’s employers fall in to the ‘too big to be bothered’ club. It’s doubtful there will be any notable fallout from this incident but it stands as a salutary tale for anyone who still doesn’t have 2FA.”

Drop Dropbox. Clearly this isn’t safe and you shouldn’t be exposed as a result.

UPDATE: Dan Moore, Sr. Director CIAM Strategy at cybersecurity company FusionAuth, provided the following comments:

“This Dropbox account takeover highlights a dangerous emerging trend where attackers create fake accounts at a trusted federated identity source. The application then accepted tokens from those controlled accounts and linked them to application user profiles without requiring any verification from the real owner. The June Meta AI chatbot exploit worked in a similar way by allowing attackers to add recovery emails to target Instagram accounts and reset passwords. Modifying an account to add an additional login method should require the user to prove they own it.”

Anthropic’s new enterprise safeguards only cover one piece of a company’s AI stack

Posted in Commentary on September 2, 2026 by itnerd

Anthropic just rolled out Enterprise Frontier Safeguards, giving enterprise customers zero data retention, customer-managed encryption keys, and misuse monitoring that routes flags to the customer’s own review team instead of Anthropic’s, built with input from over 100 customers including Goldman Sachs, Citi, and Wells Fargo, and it comes right after Anthropic disclosed that Claude Mythos 5 took unauthorized action against real people and organizations once it was given live internet access during testing without safeguards.

Arti Raman, CEO, Portal26

“The root cause Anthropic identified is the most interesting part of this. Claude Mythos 5 was told its environment was simulated, then discounted evidence that it actually had live internet access, and acted on that access anyway. That’s a model behaving exactly as designed, in an environment nobody was watching closely enough. It’s the same failure mode we see inside enterprises every day, just at the model layer instead of the employee layer: people, and now agents, will do a lot with access nobody is actively monitoring.

What’s notable about Enterprise Frontier Safeguards is where the flags go. Anthropic is routing misuse detection to the customer’s own review team, not keeping it internal. A vendor watching its own product for misuse is useful, but real governance means the organization actually using the tool can see what’s happening inside it, in their own environment, on their own terms. That’s exactly the gap most companies still have with the AI tools already running inside their organizations today.

This also only covers Claude. Anthropic can protect what happens inside its own model, but most organizations run Claude alongside GPT, Gemini, home-grown agents, and whatever tool an employee signed up for on their own. Enterprise Frontier Safeguards fixes visibility into one instance in a stack that usually has five or six others. Someone still has to be watching every model and every agent running inside the organization, and this only covers one of them.

Zero data retention and customer-managed encryption keys are going to matter most to the banks and healthcare systems on that customer list, because those are the organizations that couldn’t have adopted a tool like this at all without them. But the bigger signal is that even the company building the model needed a live incident, involving real people and organizations, before it built serious monitoring into the product. That’s the pattern everywhere in enterprise AI right now: governance gets built in reaction to an incident instead of ahead of one. The companies that get ahead of that timeline are going to have a real advantage over the ones still finding out what their AI is doing after the fact.”

This is a problem and it is up to Anthropic to answer this problem. Sadly governance is in question. And so is the reactionary nature of this “feature”.

Exposed ransomware server reveals $4 attacks for sale 

Posted in Commentary with tags on September 2, 2026 by itnerd

Cybernews researchers have discovered an exposed server belonging to an affiliate of the Gentlemen ransomware gang. Through the server, the Cybernews team gained a rare inside look at a massive AI-powered ransomware operation.

The discovery shows how AI is changing cybercrime: a single attack costs as little as $0.40–$4.00 in tokens per company, not counting the supporting infrastructure costs. “Ransomware has effectively turned into a passive revenue stream,” said Aras Nazarovas, a security researcher at Cybernews, who discovered the leaking server.

Here are the key findings:

  • The exposed server contained 3.1TB of data stolen from over 30 companies.
  • The brain behind the exposed ransomware operation is an AI agent. Malicious activity relies almost entirely on AI automation, with minimal human oversight.
  • The AI agent can simultaneously compromise and extort multiple targets and is used at all stages of the attack, including determining ransom demands.
  • The compromised companies spanned marketing, healthcare, consulting, compliance, real estate, software development, telecommunications, manufacturing, and transportation, suggesting that attacks are opportunistic.

The findings were responsibly reported to CERT and the police in Lithuania prior to publication, and the authorities shared the information with international partners.

You can find the full Cybernews investigation here:

https://cybernews.com/security/exposed-ransomware-server-reveals-automated-4-dollar-cyberattacks

OpenTable Launches Its Largest Suite of New and Updated Product Features for Restaurants

Posted in Commentary with tags on September 2, 2026 by itnerd

OpenTable today announced its largest suite of new and updated product features for restaurants, many powered by AI and automation. From table automations and AI-powered search distribution to natural-language reporting, this rollout gives OpenTable restaurant partners a more complete and connected operating system to help uplevel their business.

The launch focuses on three priorities for restaurants: driving valuable demand, turning insights into action and connecting to the systems they use every day. The new features and enhancements are designed to reduce manual work, create more opportunities to fill seats and give restaurant teams more time to focus on delivering a memorable dining experience.

The Right Demand: Nothing is More Expensive Than an Empty Seat for a Restaurant

Diners are searching for restaurants in new ways, with AI-driven discovery growing rapidly. Yet, many restaurants struggle to become visible on these new platforms. Restaurants also need better ways of managing their books and optimising to fill seats based on demand. OpenTable is bridging that gap, helping operators fill seats without adding hours of manual administrative work.

  • New integrations with some of the most widely used LLMs: OpenTable has partnerships and integrations with leading AI services and search platforms, including Google (Search, Maps and Gemini), ChatGPT, Microsoft’s Copilot and Perplexity, as well as Amazon’s Alexa+ AI assistant, helping restaurants show up where diners are already searching. This year on OpenTable, LLM integrations drove 17x more seated diners year-over-year, bringing in new diners including those who spent on average 20% more compared to other channels.
  • Get discovered through OpenTable’s AI chat: OpenTable’s AI Concierge helps diners discover restaurants through natural conversations—the way they’d ask a friend. With 500,000+ monthly active global users, AI Concierge gives restaurants another way to reach diners as they decide where to book.
  • Help drive demand with richer, automated profiles: AI-generated restaurant profiles help bring dining rooms and event spaces to life using information from restaurant websites and details operators provide – saving operator time and helping diners choose restaurants with confidence.

The Right Intelligence: From Data to Action

OpenTable is making it easier than ever for restaurant teams to put their data to work, giving operators instant answers, deeper guest insights, and actionable ways to unlock hidden revenue on the floor.

  • Natural language reporting (in testing): With Conversational Reporting, restaurants can ask questions about their data in conversational language and get instant, actionable answers — no dashboards, no exports, no analyst required. For operators who are already stretched thin, the information they need to make better decisions is a question away: operators will be able to ask questions like “Which locations in my group have the largest increase in covers?”
  • Table adjustments based on live demand: OpenTable’s new Table Automations tool automatically adjusts table minimums based on live demand. Since its test phase, there have been over 2 million automations completed, with an initial test saving operators 4.5 hours per month on average.
  • Better insights = better hospitality: New enhancements to OpenTable’s Guest Relationship Management tools (GRM) provide 10x more guest details than a standard guestbook to power personalised hospitality.** This includes features like Group Guest Visit History, which equips staff with cross-location guest profile insights to recognise first-time visitors to new locations like regulars.
  • Uncovering opportunity in the book: Turn Times and Availability Insights show where operators are losing bookable hours and inventory – and how to get them back. In testing, operators reported gaining back, on average, 39 minutes of reservable time per shift.

The Right Connections: A Tech Stack that Works Together

OpenTable is also expanding its integrations so that restaurants can connect reservation and guest data to the

  • Partner integrations and open connectivity: OpenTable’s ecosystem includes more than 200 partners across discovery, demand generation and restaurant operations. This year, OpenTable’s POS partner adoptions increased 40% year-over-year.*
  • More voice AI integrations than any Table Management System (TMS): OpenTable has more than 20 voice AI partners globally to ensure there’s tech that fits each restaurant’s unique needs, booking guests without pulling host stand staff away from the floor or after operating hours. To date, OpenTable has seated 3 million diners across its voice AI partners, an increase of 270% in 2026 compared to the same period in 2025.*

For the full suite of new products and enhancements, visit https://www.opentable.ca/restaurant-solutions/en/product-innovation/

23-year-old Sality botnet finally taken down 

Posted in Commentary with tags on September 2, 2026 by itnerd

CrowdStrike, the DOJ, and law enforcement in Bulgaria, Hungary, and Romania disrupted the Sality peer-to-peer botnet on August 31, more than 15,000 known infected machines were still active worldwide after 23 years of continuous operation since 2003. The takedown turned Sality’s own design against it, replacing trusted peers in the network with sinkholes since infected machines never verified who they were talking to, while the botnet’s most recent payload, a clipboard-hijacking tool called EggJagger, had stolen at least $150,000 in crypto by swapping in attacker wallet addresses.

More info here: Sality botnet infrastructure dismantled in joint global takedown

John Watters, Chairman & CEO, iCOUNTER Had This To Say:

“Twenty-three years is the real headline here. Sality launched in 2003 and outlived multiple generations of malware, multiple law enforcement agents and investigations, and multiple waves of the industry declaring old-school botnets dead. That kind of longevity only happens when a piece of malware keeps finding a new business model. Sality started as a generalist infector and spent its last eight years running EggJagger, quietly swapping cryptocurrency addresses on infected machines. Fifteen thousand known infected machines and $150,000 in known stolen crypto is small by today’s ransomware standards, but the operation didn’t need to be big. It needed patience, and it had it for over two decades.

CrowdStrike didn’t seize a server or arrest an operator. They turned Sality’s own architecture against it, replacing trusted peers in the network with sinkholes, because infected machines never verified who they were talking to in the first place. Shadowserver notified victims through ISPs and CSIRTs, and the DOJ coordinated the legal side with counterparts in Bulgaria, Hungary, and Romania. That combination is why this takedown is likely to hold instead of the infrastructure just resurfacing somewhere else in six months.

Sinkholing stops new instructions from reaching infected machines. It doesn’t clean them. Fifteen thousand known systems are still infected, just quiet now, and that remediation gap is going to outlast this week’s headlines.”

This illustrates that hackers can live for years in a system. Which means that you have to be constantly looking for them to achieve the best results.

Safe Software to Increase Global Headcount by Over 15% as Demand for AI-Ready Data Grows

Posted in Commentary with tags on September 2, 2026 by itnerd

Safe Software today announced it is recruiting for more than 60 roles throughout the remainder of 2026. The hiring will take the company past 400 employees, increasing headcount by over 15%, with new positions across the United Kingdom, the United States and Canada.

The expansion follows a year in which Safe crossed $100 million in annual revenue, growing close to 20 percent year over year and moving ahead of schedule on its target of $250 million by 2028. The company also grew its employee base by over 20% in the same period.

Aligned with the company’s growing revenue trajectory and market expansion, two thirds of the planned roles are revenue-facing across all three markets, spanning sales leadership, revenue operations, enablement, marketing, and customer support. Safe is also growing its product, engineering, and operational teams with open roles in AI enablement, test engineering, DevOps, design, HR, and employee experience.

Safe was named one of BC’s Top Employers for 2026 and one of Canada’s Top Small and Medium Employers for 2026. The company has been a certified B Corporation since August 2024, and has placed more than 400 co-op students since 2010, a third of whom went on to join full time.

Open roles are listed at www.safe.com/careers.

Workers Lose a Day a Week to Sluggish Virtual Desktops

Posted in Commentary with tags on September 2, 2026 by itnerd

Nexthink is warning that organizations risk wasting their technology investment and significant portions of their workforce’s time due to poor virtual desktop performance, with employees losing the equivalent of one full working day every week to sluggish virtual desktops.

Data from the Nexthink VDI Experience platform shows that employees see 20% of their working time impacted by sluggish virtual desktop performance. With the virtual client computing software market valued at $7.12bn in 2025, and VDI accounting for an estimated 59.74% of that spend – approximately $4.25bn – organizations are pouring billions into infrastructure that is undermining productivity.

The scale of the problem is significant. Nexthink data shows 65% of VDI users experience applications running slowly, while 51% of businesses using VDI experience performance issues. Based on Gartner’s forecast that virtual desktops will become the primary workspace for 20% of workers by 2027, and IDC projections putting the global knowledge worker and developer population will be at an estimated 1.04 billion by that year, this poor experience could affect approximately 135 million digital workers worldwide.

The five most common root causes of VDI-related support tickets identified by Nexthink include unstable or inconsistent network conditions, resource contention caused by image design, complicated or outdated login flows and scripts, underpowered or aging endpoint devices, and application behavior changes in virtual environments.

To improve VDI performance and protect the return on investment, organizations should:

  • Build a rounded view of success. Moving beyond cost as the primary measure. Adopt XLA thinking that centers on user outcomes, such as what employees need from their virtual desktop environment and which moments in their working day matter most.
  • Monitor experience, not just infrastructure. CPU, RAM, and uptime metrics do not reflect what users experience. Measure logon times, application launch times, and session responsiveness from the user’s perspective.
  • Measure how users feel. Couple technical data with regular sentiment snapshots through surveys or focus groups. Ask pointed questions about whether employees feel productive in their VDI environment.
  • Review findings and respond visibly. Establish a clear process for acting on experience data. Critically, close the loop with users, showing that their feedback has been heard and acted on is as important as the remediation itself.
  • Work actively on improvements. Prioritize fixes based on what has the greatest user impact at the lowest effort and cost. Take incremental steps and measure each one, so teams can demonstrate progress and accelerate improvement over time.

Methodology

The full workforce calculations are as follows:

  • Gartner’s 2025 Magic Quadrant for Desktop as a Service forecasts that by 2027, virtual desktops will be used as the primary workspace for 20% of workers. IDC projects the global knowledge worker and developer population will grow from 888 million in 2025 to 1.2 billion in 2029. This suggests an annual growth of approximately 78 million and would put the 2027 figure at around 1.04 billion. 
  • Applying the 20% Gartner figure yields an estimated 208 million virtual desktop users by 2027. Of these, approximately 135 million could be affected by slow applications (using Nexthink’s 65% finding).

Equinix Accelerates AI Inference for Enterprises with NVIDIA and Together AI

Posted in Commentary with tags on September 2, 2026 by itnerd

Equinix, Inc. today announced a significant expansion of its longtime collaboration with NVIDIA to deliver Equinix® Inference Exchange, a distributed AI inference program for global enterprises, alongside a new collaboration with Together AI.

As AI scales across models, providers and geographies, where inference runs is a strategic imperative that determines performance, cost and governance. Equinix Inference Exchange will give enterprises a faster path from AI experimentation to production, with secure, low-latency connectivity to the data, users and ecosystem they depend on.

This collaboration brings together NVIDIA’s validated Enterprise Reference Architectures with Together AI’s inference platform, supporting more than 200 open-source models. Delivered through Equinix’s global data centers, it will provide connectivity to clouds, networks and AI providers through Equinix Fabric®.

The solution will be announced today at Equinix Horizon, the company’s inaugural customer and partner event, alongside Equinix® Fabric One™, which will make it easier for enterprises to connect across globally distributed AI environments.

Where Inference Runs Matters

The pace of enterprise AI adoption is outrunning the infrastructure needed to support it. As enterprise AI moves from experimentation to production, inference increasingly needs to run closer to the users, data and applications it serves across clouds, models, providers and geographies. This shift requires enterprises to determine not only how to deploy AI infrastructure, but where it should run and how it connects to the data, applications and workloads it depends on.

Managing these distributed inference deployments introduces significant operational complexity at precisely the moment enterprises need greater control and visibility.

Equinix brings unmatched scale and ecosystem density to this challenge, with more than 280 data centers across 77 metros, 230 cloud on-ramps and over 10,500 businesses interconnected on its neutral exchange. Eight of the top 10 AI model providers and nine of the top 10 AI clouds are deployed with Equinix, underscoring the company’s position at the center of the AI ecosystem.

Built for Choice and Flexibility

Together AI is the latest addition to Equinix’s expansive AI ecosystem, bringing open-model flexibility and choice to enterprises deploying AI at scale. The solution combines three complementary layers designed to simplify distributed AI inference:

  • Equinix provides the infrastructure foundation, including power, advanced cooling and day-two operations, connected through Equinix Fabric to the clouds, networks and AI providers that inference depends on.
  • NVIDIA anchors the build with its Enterprise Reference Architectures and AI infrastructure purpose-built to maximize AI factory throughput and minimize token cost.  
  • Together AI runs the platform on top, supporting both multitenant deployments for shared efficiency and dedicated single-tenant environments for workloads that require dedicated capacity.

Built on Equinix Fabric, the solution will connect to inference providers across major metros worldwide, cutting time-to-first-token. It also will connect to an expansive ecosystem of clouds, networks and AI providers, reducing deployment complexity.

Designed for Modern Enterprise Inference

The solution aims to support a broad range of enterprise inference scenarios, including:

  • Metro edge inference: For organizations that need inference running closer to users and data, enabling lower-latency AI experiences while leveraging the security, operational scale and global reach of Equinix.
  • Open model migration: For enterprises moving workloads from closed, proprietary models to open-source alternatives to control cost and avoid lock-in, the solution will provide a direct, low-friction path to run that migration in production, with Together AI’s open-model platform reachable over the same interconnected fabric enterprises already use to reach their other providers.
  • Sovereign AI: For enterprises operating in regulated industries or specific geographies, the solution will enable AI workloads to run in locations that support data residency and sovereignty requirements, providing a simpler path to deploying AI at scale while maintaining control over where data and inference are processed.

Equinix Inference Exchange will be available starting in Q1 2027.