News

Microsoft Plans $10 Billion-Plus Gulf Expansion Despite Iran Conflict

Security is shaping Microsoft’s approach, from resilience work with governments to what it will say about how the money splits by country.

Published

2 months ago

September 24, 2026

Nour Nasir

Microsoft

Microsoft is planning more than $10 billion of investment across the UAE, Saudi Arabia, Qatar and Kuwait through 2030, Vice Chair and President Brad Smith told Reuters, calling the spending schedule aggressive. The Iranian conflict that began on February 28 has not persuaded the company to scale back.

“We’re sustaining all the investments we planned to make before this conflict started, and we are in fact adding to them,” Smith said. The $10 billion-plus total does not, however, show how large those additions are.

The investment, which Smith described as part of Microsoft’s continued infrastructure expansion, is aimed at cloud and AI infrastructure and at the company’s growing regional operations. Microsoft also intends to put more than $400 million into subsea and terrestrial connectivity across the Middle East by 2030.

The spending fits the region’s own ambitions too. Gulf governments have been investing heavily in AI infrastructure as part of a push to diversify their economies beyond oil and gas and turn themselves into global technology hubs. Major cloud and AI providers have been drawn in part by the land and relatively low-cost energy on offer.

Microsoft is widening its partnerships with regional AI companies, though not on identical terms. In 2024, it invested $1.5 billion in Abu Dhabi-based G42 for a minority stake, and Smith currently sits on G42’s board. Saudi Arabia’s Humain and Qatar’s Qai are working with Microsoft on selected priority areas, but Smith said the company does not plan to make capital investments in either.

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The conflict has added another strand to Microsoft’s work in the region. Since it began, Smith said, the company has supported regional partners with digital resilience assessments, and it is now working with Gulf countries through a digital resilience initiative focused on preparedness and the protection of critical data.

So far, the company has given no country-by-country breakdown of the investment, citing security among other factors. So while the headline figure is public, how Microsoft divides the spending among the four countries is not.

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.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“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.