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Surfshark Just Dropped a Next-Gen VPN Protocol That Could Be Faster and More Secure Than Other VPN Connections

The new Dausos connection protocol has been independently audited and includes a few key innovations not found in other VPNs.

Surfshark on Monday released its brand-new Dausos VPN connection protocol, which the company says elevates three key elements for VPN users: 30% faster speeds than industry-standard protocols, enhanced security with a hybrid post-quantum encryption and dedicated, private server-side tunnels for each individual session. 

This means that Dausos should give Surfshark users smoother connections, improved privacy and faster performance to benefit data-heavy activities, like streaming and gaming. 

VPN protocols are essentially the rules that determine the encrypted connection between your device and the internet while on a VPN. Long gone are the days when OpenVPN dominated as the hotshot of the VPN protocol world. It’s still a fine protocol with airtight security that can be great when you need stable connections on any network or want to bypass firewalls, but it’s a lumbering hulk that wasn’t built for the speed or security requirements of today’s VPN users. 

Modern times call for modern VPN protocols, and Surfshark is the latest of CNET’s top VPN picks to spin up its own proprietary next-generation VPN protocol. Dausos sounds poised to challenge WireGuard as the protocol of choice for Surfshark users who want speedy connections without compromising security. 

One of the biggest innovations that Dausos brings to the table is its ability to deliver a dedicated tunnel for each individual user session, which Surfshark says can optimize performance by dynamically adapting to network conditions and device capabilities for each individual connection.   

Isolating user’s data traffic is a key element here. «While the risk of cross-traffic exposure in modern VPNs is very low, our unique protocol design goes the extra mile to ensure a clean, private, and secure path for each user’s data,» Surfshark’s lead systems engineer Karolis Kaciulis said in a statement. 

Surfshark representatives told me via email that this isolation happens on the server side, and every time a user connects to a server, the server creates a new network interface specific to that user and VPN session. The representative explained that each user gets their own server-side tunnel, so no network space logic or other resources are shared when a user connects via the Dausos protocol. This differs from the traditional method, where the server side has a single network interface that all users of a particular protocol share.  

That’s all very technical, but it’s almost like creating a highway specifically for your internet connection, instead of having to share that highway with other users.

«The protocol’s unique design avoids unnecessary and redundant checking of data packets, which enhances connection performance and even further prevents the theoretical possibility of data packets interfering with each other,» Kaciulis said in the press release.

Surfshark also incorporates post-compromise security with its Dausos protocol, which the company says takes the concept of perfect forward secrecy to the next level. With PFS, every time a user connects to a VPN server, a fresh set of ephemeral encryption keys are generated. Every few minutes, a new set of keys is regenerated so that an attacker wouldn’t be able to decrypt a user’s past VPN session data from a single key compromise. However, the new encryption keys are generally derived from the old keys, which means that it could theoretically be possible for an attacker to derive future keys from a past compromised key.

But Surfshark told me via email that with Dausos’ post-compromise security, the new encryption keys are unique and entirely unrelated to any other key, which makes it virtually impossible to decrypt future keys from a past key compromise. Essentially, post-compromise security gives Surfshark users an added layer of privacy.

Dausos also incorporates post-quantum encryption, which can help protect against potential decryption threats from quantum computers in the future. Much like ExpressVPN, Surfshark’s hybrid post-quantum approach helps protect user data simultaneously from today’s threats as well as future threats.

«We introduced numerous steps, some of them never seen in any VPN protocol before, to maximize the security of our protocol,» Kaciulis said in a statement.

To help validate its claims, Surfshark commissioned German security firm Cure53 to run an independent audit of Dausos’ security. Cure53’s source code audit took place between February and March 2026 and focused on the connected architecture and cryptography of the Dausos protocol. The audit flagged eight findings within the Dausos protocol’s scope that Cure53 rated a medium severity or lower — most of which Cure53 says Surfshark immediately addressed.

«With no findings rated at Critical or High severity within the actual Dausos protocol itself, the audit results reflect a stable and resilient platform,» Cure53’s audit summary states. «The Surfshark team demonstrated a significant commitment to security by remediating the majority of the findings immediately following the testing phase.»

The Dausos protocol is currently only available on Surfshark’s MacOS VPN app. However, Surfshark told me via email that the team is actively working toward rolling out Dausos on other platforms «soon,» but cannot yet share a specific timeline.

For more information, check out the VPN settings to enable for optimal privacy, why VPN jurisdiction is critical for your privacy, how to speed up your VPN connection and why VPNs can’t make you completely anonymous online.  

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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