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At seven seasons, The CW’s YA The 100 became our most deeply explored TV apocalypse, telling the story of the descendants of refugees of nuclear devastation who return to Earth from their habitat in space to encounter the remnants of humanity that has survived. Naturally, the first people sent to scope things out are the juvenile delinquents, and they discover that three civilizations have risen up in the aftermath of the apocalypse—all pretty darned scary (including one populated by cannibals, naturally). After a rocky first few episodes, it evolved into something impressively smart and complex, a reminder that YA doesn't need to lack depth. In its absence, enjoy these other shows that explore dystopias near and distant, particularly when they involve throwing teenagers at apocalyptic problems.

Silo (2023 – )

This futuristic neo-noir (kicking off, as it does, with a murder mystery) inverts, to a point, the premise of The 100: While that show finds people from a space station visiting a blasted Earth, Silo finds the remnants of humanity trapped underground. Rebecca Ferguson stars as Juliette Nichols, an engineer who gets wrapped up in an investigation involving the local sheriff (played by David Oyelowo). The usual stuff—except that the characters all inhabit a massive silo, 144 levels deep, protecting the remaining 10,000 humans from the allegedly poisoned world above. Those running the silo have managed to convince everyone left that only strict adherence to rules and procedures will keep them safe from the dangers outside. The tones are very different, but both 100 and Silo turn on the significance of manipulations and lies that keep the lead characters from ever understanding the full picture. Stream Silo on Apple TV.


Snowpiercer (2020 – 2024)

Though initially feeling like an unnecessary extension of Bong Joon Ho's allegorical post-apocalyptic film, Snowpiercer (the show) ultimately takes on a life of its own, a clever sci-fi melodrama that realizes there are no heroes and few true villains at the end of the world, but mostly just people doing whatever they can to survive. In a frozen future (2026, to be precise), humanity survives on an extremely long train that circumnavigates the globe. If it stops, the power will go out and everyone (literally everyone) will die. Those who came aboard with wealth live near the front in relative luxury, while the poor live on scraps (or worse) in the tail. Daveed Diggs stars as former detective Andre Layton, a "Tailie" deputized by Jennifer Connelly's Melanie Cavill (engineer and the train's head of hospitality) to solve a series of murders. The inevitable uprising that follows sets the two of them on different sides of a violent conflict, as each comes to realize they're just pawns of the elites—same as it ever was. Stream Snowpiercer on Peacock, Hulu, and Prime Video.


The Wilds (2020 – 2022)

Situated between flashbacks and flash-forwards, mystery/thriller The Wilds sees an airplane full of teenage girls crash on the way to an empowerment program in Hawaii. It quickly becomes clear that the accident was engineered and that the whole thing is some sort of social experiment, and the survivors are forced to compete against each other if they want to live—it's reminiscent of the manipulations at the heart of The 100, even if the setting is less overtly sci-fi. The show understands the ways in which young women are exploited and expected to compete against each other in the real world, making clear that a Lord of the Flies-esque scenario with women at its center isn't going to go any better, even if it would play out differently. Stream The Wilds on Prime Video.


Tribes of Europa (2021)

We've got just a few short years before the global technological collapse, posits Tribes of Europa, and I for one am here for it—it's set in 2074, and it's been 45 years since we all lost access to Insta. Except that the shows sees it as a bad thing, with a complete societal breakdown and the dissolution of governments into a bunch of warring micro-states. Three groups are important here: the aggressive Crows; the militaristic and politically minded Crimsons; and the peaceful Origines, three of whom happen upon advanced technology that makes the teenagers targets for just about everyone. Stream Tribes of Europa on Netflix.


Shadowhunters (2016 – 2019)

A lot of streaming dystopias are more adult-oriented (which isn't necessarily to say smarter or more mature), so this urban fantasy is a match largely by demographic, being, like 100, adapted from a popular YA novel series. Both series likewise put young women as reluctant warriors at the front, fighting for their families and friends in the face of world-ending consequences. From the long-running Cassandra Clare-written Mortal Instruments series, Shadowhunters finds Clary Fray (Katherine McNamara) discovering that her mom's been lying to her for her whole life: She's the daughter of a rogue Shadowhunter who split off to form his own group of, like, magical bigots, going extreme in his mission to defend people from demons and supernatural beings, not all of who are bad. Though cancelled after three seasons, the show adapts the initial run of books and comes to a perfectly satisfying conclusion. Stream Shadowhunters on Hulu.


12 Monkeys (2015 – 2018)

Another future dystopia involving the aftermath of global catastrophe—only here we're counting on time travel to save us. James Cole, a scavenger from 2043, travels back in time to 2015 to stop a deadly plague. Though the series at first felt like a retread of the Terry Gilliam film (and of La Jetée, on which that was based), it eventually began to luxuriate in its extended timeline and use it to ruminate on ideas of free will versus predetermination, even while throwing in plenty of action and mystery; extended plot-lines, complex character dynamics, and impossible choices are points of convergence. It’s sort of a pre-apocalypse story, dealing with a bleak past and an even darker future. Stream 12 Monkeys on Prime Video.


Heavenly Delusion (Tengoku Daimakyō) (2023)

We follow two parallel narratives in this (deeply weird) post-apocalyptic anime: In one, a group of children live in a confined, sterile, closely monitored school environment called "Heaven" and are protected from what we quickly learn is the monster-filled devastation outside; in the other, bodyguard Kiruko and their companion Maru travel across a devastated Japan. Those relatively straightforward dystopian strands soon give way to some wild twists and turns as the plot lines dovetail into a story involving gender and sexual politics, as well as a whole lot of dark secrets. Think of it as the psychedelic anime take on the kids' apocalypse, in which some people have seeming safety while others have to face brutal reality. Stream Heavenly Delusion on Hulu.


3% (2016 – 2020)

It would be tempting to see this as a metaphor for the American dream, but, of course, it’s a Brazilian show, and it’s not as though inequality was invented in the United States—we’re just particularly good at it. In 3%, the impoverished young Inlanders have one shot at success: completing “The Process,” a series of interviews, puzzles, and escape rooms designed to test their worthiness to join a futuristic offshore utopia. Most fail, and many don’t survive, leaving a success rate of...3%. This is very much Hunger Games territory, but there's also a very 100%-esque sense of young people being seen as expendable, particularly when they don't occupy the right spot in the social order. Stream 3% on Netflix.


The Rain (2018 – 2020)

Welcome to the apocalypse, but, you know...wetter. In this three-season Danish import, a virus spread by rainfall wipes out most of the population of Scandinavia. Siblings Simone and Rasmus emerge from their bunker six years later, setting off across the countryside with the hope of finding a safe haven, and maybe tracking down their father. It turns out that one of them holds the key to wiping out the virus and saving the world. It’s not the most original premise (The Last of Us game came out five years earlier), but the setting gives it a unique feel, and the series comes to a decisive ending. Stream The Rain on Netflix.


All of Us Are Dead (2022 – )

In All of Us Are Dead, high school becomes hell, almost literally, when a viral outbreak causes a Hyosan school to become ground zero for a strange plague. The teenage students soon realize they've been quarantined from the rest of the city, and help isn't coming (adults can't be trusted in the apocalypse, is what I'm getting from these shows). Nihilism isn't uncommon in zombie narratives, nor are themes involving the breakdown of social structures. But All of Us Are Dead explores the world of a cloistered high school under constant threat as a parallel to our own: Class and background continue to be potent forces, even (or especially) amid the trauma of the attacks, and arbitrary social hierarchies solidify under the constant trauma. In contrast to the wide-open world of The 100 (at least when we're on the ground and outside), the closed school location is brilliantly utilized, and there's some appropriately soapy drama, too. Stream All of Us Are Dead on Netflix.


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For nearly two years, the rumor mill has speculated that Apple is planning to embed cameras into a future pair of AirPods. While that might sound at first like Apple is looking to turn its popular earbuds into a sort of smart glasses-inspired device—with all the privacy caveats that come with it—that doesn't appear to be the case. Instead, should Apple's camera-enabled AirPods be real, its lenses will likely be used by Siri AI to better assist you when your iPhone isn't around.

In effect, your AirPods would become a new type of AI device, with the same effect as taking out your iPhone and opening Visual Intelligence, or launching Voice Mode on ChatGPT. Instead of pointing your iPhone's camera at something in the real world and asking Siri AI questions about it, you could instead utilize your AirPods' cameras. It'd make Siri AI a bit more like how smart assistants are depicted in the movie Her—whether you think that's a good or bad thing.

AI AirPods with cameras appear to be on their way

While we won't know for sure whether or not "seeing AirPods" are in the works until Apple officially announces them, this latest discovery does seem to confirm their existence. While diving through the Release Candidate for macOS 26.7, MacRumors found a video file showing off what appears to be a demonstration of AirPods running Visual Intelligence on their own. In the video, a man holds up the book Could Should Might Don't: How We Think About the Future by Nick Foster. As he does, a voiceover says: "With Visual Intelligence, your world becomes savable. See something you like? Just ask me to save it for later." You can see the video attached to the following post on X:

MacRumors also found a reference to the user setting up Visual Intelligence on these camera-equipped AirPods. If something is blocking the camera on your AirPods, like your hair, you might receive the following message: "To get the most accurate information about things in your environment, make sure AirPods are not covered." Reportedly, Apple is calling the upcoming AirPods with cameras "B790" internally. MacRumors says there are multiple references to B790 throughout macOS 26.7's Release Candidate, indicating the device is nearing launch.

It's not just the AirPods

To that point, "B790" isn't the only codename referenced throughout macOS 26.7. According to MacRumors, there are many unreleased devices referenced in this Release Candidate, including Apple's long-rumored "Home Hub," "Pebble" (Apple's upcoming homeOS operating system)," iPhone 18, iPhone 18 Pro, iPhone 18 Pro Max, iPhone Ultra (Apple's foldable smartphone), iPhone Air 2, M6 MacBook Pro, and AirPods Pro 4. There are also referenced codenames for upgraded devices without much context, such as a new iMac, MacBook Pro, iPad mini, and Beats.

This is a long list, and while none of these devices are confirmed, it does indicate that Apple is gearing up for a huge release schedule this year. Apple may indeed make an entrance into the smart home market with its own hub and operating system and potentially peripherals and accessories like security cameras. Again, we'll need to wait until next month to see what Apple announces, and even then, the company may take more time to reveal future products.


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Welcome back to the Big Guessing Game! This year, Lifehacker, along with the other CNET Group sites (CNET, ZDNet, Mashable, and PCMag), has been giving readers a chance to win the latest Apple Watch by making predictions about Apple's big 2026 announcements. We are officially in the third and final round, so make sure to get your guesses in ahead of Apple's fall event!

If you've played Lifehacker's or CNET Group's Big Guessing Game in the previous two rounds, you'll know the gist. But for any new guessers, here's a summary. The Big Guessing Game is made up of three rounds:

Each round features five questions about what Apple might announce during various keynotes and presentations. As such, we won't know the answers for sure until Apple confirms them—but once we do know, each correct prediction will earn you one entry into CNET Group's grand-prize drawing. This drawing will commence at the end of the third round, and, if you win, you'll walk away with the latest version of Apple's smartwatch.

To be eligible, you must be at least 18 years old and a resident of the 50 U.S. states or Washington, D.C. As alluded to above, you aren't limited to Lifehacker's guessing game, either: All CNET Group sites are hosting their own games, each with their own questions, which means there are 75 possible guesses across all three rounds. You can answer any or all of the questions each round, but note that you can only possibly win once, even if you play across multiple sites. Each of the five sites will announce the winner of its contest shortly after Apple's fall event.

NO PURCHASE NECESSARY to enter or win the "CNET Group Big Guessing Game" Giveaway. Open to legal U.S. residents in the 50 U.S. & D.C., 18+ yrs of age. Other restrictions apply. Begins May 19, 2026 at 12:01 p.m. ET and ends Sept. 1, 2026 at 11:59 p.m. ET. Void where prohibited. Subject to Official Rules. Sponsor: Ziff Davis, LLC.

Apple is not a sponsor of, affiliated with, or endorser of this sweepstakes. Apple Watch is a trademark of Apple Inc.


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There are now enough freely available Large Language Models (LLMs) that running them locally on a computer is commonplace, and a better idea in some ways—they're more private, as you don't have to send anything to the cloud, and they work offline.

Getting these advanced AI models running on phones hasn't been quite as straightforward (hence why the most advanced Siri AI features need one of the latest iPhones), but we're now at the point where most of the handsets are powerful enough, and some of the models are small and efficient enough that it's actually practically feasible.

The benefits are the same as on the desktop—you get an LLM that's always available and private to you, with nothing sent back to Google, OpenAI, Anthropic, or anyone else. The downsides are that you're going to get slower and more limited performance from your AI, as you're dealing with smaller and less powerful models, and you might see a hit with battery life (these AI chats can be quite resource-intensive).

Even with those compromises, the local AI you'll be able to get up and running on your phone is still going to be more than capable of everyday tasks and chats—and that means you can give Gemini or Siri (and perhaps your AI subscription) a rest.

The phone you need to run a local LLM

Any iPhone or Android phone launched in the last couple of years should do a decent job of running a local LLM; the AI boom means manufacturers have started building their devices with this kind of usage specifically in mind. Older phones can still apply, but you might need smaller models and get worse performance.

RAM is actually a bigger consideration than chipset performance when it comes to running an AI model. You're going to need 6GB or above for this to work at a satisfactory level, and 8GB or more is better for the larger models. Below 8GB, stick to 1-2B models—that B is for billion, and refers to the number of parameters in a model (essentially, how smart and versatile it's going to be).

Google Pixel 11 Pro
Phones like the Pixel 11 Pro come with AI models on board, but they're locked away. Credit: Google

In terms of storage space, you don't have too much to worry about. Even the largest models that use 7-8B are going to top out at around 5GB for how much room they take up on your phone, so you might even want to keep several AI models on your handset and switch between them as required.

If you buy a new flagship-level iPhone or Android phone today, it will actually come with local AI models preinstalled for quick tasks that can be done without pinging the cloud. However, these Apple and Google-made models aren't available directly to you, the user—they're used as and when Siri AI and Gemini think they're the best option.

The apps and models you need to run a local LLM

There are several apps that will do the job of getting AI models on your phone and running them. A couple of the most popular are Atomic Chat (Android or iOS) and PocketPal AI (Android or iOS). There are some differences—it's easier to extend Atomic Chat to desktop LLMs, for example, while PocketPal AI is a little more lightweight—but they're both great for getting started with local AI on your phone.

As for models themselves—sometimes called SLMs or Small Language Models because they're designed to work in more limited environments—you've got plenty of choice here, too. For instance, Gemma is the umbrella name of the open-source models that Google makes available for free, and some of these are specifically engineered for working in tighter spaces with fewer resources (like on your phone).

PocketPal AI
PocketPal AI will guide you to the right local model for your needs. Credit: Lifehacker

Meta has its own open-source AI models given the Llama moniker, while Microsoft has its Phi-4 models, which are also highly rated for efficiency. You just need to look for the versions with the lowest number of parameters in front of the "B" (or with "mini" in the name) to find the packages that'll work best with your phone.

At the moment, these SLMs are mostly text-only, although some of the newer, larger, and more advanced ones can analyze images and files. If you want to be able to generate images and videos, you're going to have to use the conventional cloud-based AI models, at least until the next leap forward in the technology.

Putting a local LLM to the test

To see how useful one of these local AI models might be on a phone, I installed PocketPal AI and one of the smaller Google Gemma models on my Pixel 9 Pro—not really a flagship any more, but not too old. I did like the little selection wizard that PocketPal AI opens with, that directs you straight to a suitable AI model for your phone.

Once I'd downloaded and installed a couple of models, it was simple enough to load them up and get started. PocketPal AI also gives you access to optional "pals" (hence the app name) that can tailor AI models for your use—the default Pip option seems fine as a stand-in for what you might be used to with the standard Gemini or Siri AI apps. Prompting and following-up works as normal, with your chat history saved by default.

PocketPal AI
These smaller LLMs are best suited for quick answers and information requests. Credit: Lifehacker

There is a noticeable (and expected) slowness to the responses when you run LLMs on your phone, and a noticeable difference between AI model sizes—choosing a smaller model will get you answers significantly faster, even if they're not quite as smart or complete. It's worth experimenting with a few models just to find your own sweet spot between performance and speed.

With no web search or up-to-date knowledge available, this is best for brainstorming ideas, analyzing and refining existing text, composing new text, and getting fast facts or comparisons ("give me a film like..."). As always, watch out for those hallucinations, and don't take the word of any AI to be guaranteed as accurate.


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After wearing smart rings for over five years, I’ve become convinced that I deserve one minor luxury whenever I’m traveling with one: a charging case. Even when I’m at home, a charging case is more convenient than a post-style charger. Just before a recent vacation, I got myself a $30 charging case that I like even better than the one Oura sells for $99.

Why charging cases matter for smart rings

Charging cases are handy for a few reasons. Chief among them is that it feels precarious to have your expensive ring on a little stand, attached to a long USB cable. I’m pretty much guaranteed to snag that cable at some point, potentially knocking the ring onto the floor. 

But with a charging case, you not only have the ring in a more secure position, you can also do away with the cable. (The charging case has its own battery, which needs to be charged with a cable, but only once a month or so). I also love that I can put the ring in its charging case, and slip the case into my pocket. When the ring is charged, it’s already with me—no going home to go get it from my desk or nightstand. 

Several smart ring makers include a charging case, or have one available as an extra purchase. That’s a big plus to me when I’m evaluating what you get for your money. RingConn gen 2 and 3 come with cases that have a generous battery; the Ultrahuman Ring Pro has a nice big case as well. The Samsung Galaxy Ring has a clear little case, and so does the Luna ring. Oura rings don’t come standard with a case, but the 4 and 5 generations have a charging case available as an extra purchase. 

Oura sent me a charging case when it was a new product, but it only fit the Oura Ring 4 and not the 5 I’m currently wearing. I tend to do short trips without a charger (since the ring’s battery lasts about a week) and bring the dock on longer ones. But as I was organizing my supplies for a recent vacation, I decided I was going to solve this problem once and for all—I was going to try one of the third-party chargers I keep seeing online, the ones that can fit any charging dock. I bought this Tensea charging case.

How I used the Tensea case on a recent trip

I picked this particular charging case for a few reasons. First, it can fit a variety of Oura docks, and would probably also be able to fit other brands. As a bonus, it has a numerical display to tell you exactly how charged the case is, and a clear lid so you can tell at a glance whether the ring is inside and whether the dock is showing its own charging light. 

Charging case from top
Credit: Beth Skwarecki

These are features that I wish Oura’s own charging case had. Instead, it’s got one LED that changes color to indicate charge level, but sometimes it’s telling you about the ring and sometimes about the case itself. The Tensea case also has a substantially bigger battery than Oura’s. At 7.4 watt-hours, it’s about three times the size of Oura’s 2.5-Wh case. Oura says its case can charge the ring five times, so the Tensea should be able to do around 15 charges. I’ve used it once and the battery level is only down to 96%. I’ll be able to use this for a while. 

Now, this type of case is not a complete replacement—it requires you to add your regular charging dock. The one I bought is made for Oura rings, and it’s sized so that you can pop in the charging dock that came with your Oura Ring 3, 4, or 5. Flip up the case’s hinged USB-C connector, plug in the dock, then hinge the dock down into the case. 

Ultrahuman charging dock doesn't quite fit
The Ultrahuman Air's dock is a bit thicker, so the case won't close—but it does charge like this! Credit: Beth Skwarecki

This design should be able to work with any charging dock that has a USB-C connector and fits in the case, so I tried it with the Ultrahuman Ring Air. I would charitably say that it works with the Ultrahuman, it just doesn’t fit. The ring charged but I couldn’t close the case to slip it in my pocket. If I’m just leaving it on a hotel nightstand, though, it would get the job done without needing a cable. (That’s how I tell myself that this is a versatile item that I can use with many different rings—we will see whether it works with any others I end up testing.) 

In any case, the Tensea did its job, sitting in my backpack waiting to be used. I didn't need it until the day I returned home, but then I was able to quickly find it in my bag and start charging my ring without having to rummage for a cable or find something to plug it into. I'll definitely be using this case for future travel, and I like it as a cable-free nightstand charger at home, too.


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In a new ClickFix attack iteration, hackers are pushing an infostealing malware to macOS users that is capable of hijacking your sessions in Google Chrome, Microsoft Edge, and a number of other Chromium-based browsers. AmnesiaStealer grants remote control of your browser and access to plenty of personal data, so you should know how to spot the campaign and protect your device from compromise.

AmnesiaStealer hijacks your web browser on macOS

As BleepingComputer reports, AmnesiaStealer can copy a victim's Chromium profile, which allows it to collect data across 16 Chromium-based web browsers, access authenticated sessions, and control them remotely. This means threat actors can navigate across websites, export or import cookies, and access online portals as well as grab saved logins, history, bookmarks, extensions, and cryptocurrency wallet data. AmnesiaStealer can also capture your macOS password and gain access to keychain data, Apple Notes, Telegram sessions, documents, and system information.

Researchers at security company Jamf found that hackers are distributing the malware via a password-protected ZIP archive on a fake GitHub page and are gaining this level of access when users run a Terminal command that downloads and installs the payload. The campaign mirrors previously identified Atomic and MacSync infostealers.

How to avoid browser takeover attempts

The best way to protect yourself from AmnesiaStealer is to be vigilant against ClickFix attacks, which use social engineering tactics to deliver malware to your device. Common tricks include fake error messages, CAPTCHA forms, and, as in this case, command prompts that install malicious payloads that can then spy on your activity, steal your data, and take over your machine.

Threat actors count on you believing that these commands do something innocuous (like download legitimate software) or not understanding what you're executing on your device. That's why you should be highly skeptical of any prompts you find online and never execute commands in Terminal from non-official sources. Note that the fake GitHub page being used to distribute AmnesiaStealer has a "Verified Publisher" tag to gain user trust. Fraudsters will also try to impersonate legitimate companies—tech support scams are one example—so you should never copy and paste commands in your system dialogue even if you believe you're interacting with a trusted business or service.


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Fortinet has acquired Virtue AI, strengthening its broader Security for AI strategy and its vision for securing the agentic enterprise. The acquisition builds on Fortinet’s existing AI security portfolio, which includes the FortiGate Hyperscale Firewall.

As organizations deploy AI applications and autonomous agents, their attack surface expands beyond networks, users, endpoints, applications, and cloud workloads. It now includes prompts, models, agents, Model Context Protocol (MCP) tools, application programming interface (API) calls, and AI infrastructure. Organizations need to adopt AI with confidence, keep it secure in production, and trust it behaves as intended.

Fortinet met that need earlier this year with FortiAIGate, which safeguards large language models (LLMs from prompt injections, data leakage, model poisoning, excessive resource consumption, and other emerging AI-specific risks. Virtue AI extends that security to AI models, applications, and agentic systems from development through runtime, leveraging Virtue AI’s Guardian Agent abilities and key product capabilities, including:

  • Agentic system red-teaming: Tests autonomous agents for exploitable weaknesses across more than 50 sandboxed environments and 14 high-stakes domains, including simulated prompt-injection and MCP-based attacks against leading agent frameworks.
  • Agent protection, governance, and visibility: Provides full visibility into agents and AI tools running in their environment, discovers unsanctioned AI applications and agents, scans MCP tools and source code for hidden risks, monitors agent behavior, and blocks malicious tool calls before they act.
  • Continuous AI validation: Identifies new risks across every model update and fine-tune of policies, while generating audit-ready evidence to support security and compliance reviews. The automated red-teaming runs across hundreds of attack vectors and more than 1,000 risk categories, with multimodal testing and on-demand reporting for security, risk, and compliance teams.
  • Real-time guardrails: Enforces customizable policies across text, images, video, audio, and AI-generated code to keep harmful content, sensitive data, jailbreaks, and vulnerable code from reaching users or downstream systems.

“AI is fundamentally changing enterprise computing, and security must evolve just as quickly,” said Ken Xie, Founder, Chairman of the Board, and Chief Executive Officer at Fortinet. “Virtue AI’s technology will advance our vision for continuous AI assurance, helping customers govern and protect AI systems throughout their lifecycle and operate them confidently at enterprise scale.”

According to Gartner, “the market for securing AI ecosystems and AI agents is rapidly expanding, products and tools is expected to expand from $2.8 billion in 2026 to $16.4 billion by 2030.” Fortinet believes that anticipated market expansion is indicative of the evolving industry demand to secure the AI era.

Customers already rely on the Fortinet AI-native Security Fabric for integrated protection across networks, endpoints, clouds, applications, and AI deployments. This acquisition complements FortiAIGate and further strengthens Fortinet’s AI runtime security capabilities with Virtue AI’s automated validation and real-time protection. Combined with coordinated enforcement and FortiGuard Labs threat intelligence, it will give organizations the confidence to secure AI systems throughout their lifecycle.

Financial terms of the transaction are not disclosed, and the amount paid by Fortinet as consideration is immaterial to Fortinet’s business.


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