News

Google Launches Its Dunant Subsea Cable Between The US And Europe

Published

6 years ago

February 9, 2021

Google

With Elon Musk’s Starlink satellites quickly filling up Earth’s orbit and promising low latency, broadband internet access to people living in the most remote corners of the world, it’s easy to forget that physical cables stretched across the ocean floor are still indispensable information super-highways.

Google, in partnership with telecommunications equipment company SubCom, has just announced the completion of one such super-highway between the United States and Europe. Called Dunant, this privately-owned subsea cable spans almost 4,000 miles (6,400 km) from Virginia Beach in the US to Saint-Hilaire-de-Riez, France, offering record-breaking data transfer capacity of 250 terabits per second (Tbps).

Submarine Cable Map

“We’re thrilled to say bonjour to the Dunant submarine cable system, which has been deployed and tested and is now ready for service,” writes Chris Ciauri, Google’s President for EMEA, in a blog post.

“The historic landing was made possible in partnership with SubCom, a global partner for undersea data transport, which engineered, manufactured, and installed the Dunant system on schedule despite the ongoing global pandemic.”

The two companies decided to name the subsea cable after Henry Dunant, a Swiss humanitarian, businessman, and social activist who received the first Nobel Peace Prize (together with Frédéric Passy) in 1901.

Google first announced the project in 2018 and expected to complete it in late 2020. The delay was caused by the COVID-19 pandemic. The tech giant, whose recent record quarterly revenues were largely caused by soaring cloud sales, is also working on a subsea cable between Portugal and South Africa, called Equiano.

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“This new cable is fully funded by Google, making it our third private international cable after Dunant and Curie, and our 14th subsea cable investment globally,” stated Michael D. Francois, Tech Lead Manager of Global Network Infrastructure at Google. “Equiano will be the first subsea cable to incorporate optical switching at the fiber-pair level, rather than the traditional approach of wavelength-level switching.”

Both Dunant and Equiano are part of Google’s ongoing effort to improve its cloud network infrastructure and offer better reliability, speed, and security to its customers.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

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“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.