News

New Google Update Will Prioritize Quality Websites In Results

The update is billed to be useful for users seeking educational materials, arts and entertainment, plus tech-focused content and shopping results.

Published

4 years ago

August 23, 2022

Nour Nasir

Google

A new Google update has just been announced and the company is promising a raft of updates to its search algorithm that will prioritize “quality websites” in the search results, with a view to helping its users uncover more reliable or accurate source material.

Google’s long-term focus has always centered on promoting quality content in search results, and this update seeks to address concerns from some users that the company’s results haven’t been optimal of late.

“We definitely want to speed up the experience for people and make them feel like they’re getting what they’re looking for. We’re trying to show people more helpful and authentic content. […] content made by and for humans, which is a lot of what people seem to be seeking,” says Danny Sullivan, Google Search Spokesperson.

The update, known internally as the “helpful content update“, began a global rollout for English-speaking searches this week, focusing on targeting SEO-first content designed for the sole purpose of ranking on page one.

There’s no news yet as to whether we might be looking at a rerun of 2012’s infamous “Penguin” update, which saw thousands of SEO-focused affiliate sites wiped from search results, destroying the income streams of many internet entrepreneurs.

Google says its product testing indicates that the algorithm update will prove especially helpful for results relating to shopping, arts and entertainment, tech-related content, and online learning. The search giant will simultaneously tweak its existing product review results by adding more firsthand and in-depth experiences to reviews.

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Instead of sending users to a page that aggregates and rounds up other review sites, or to suggestions from people who have never used a product, Google’s spokesperson Danny Sullivan says the company is working to unearth more experienced product reviews and opinions.

So the big question is, should website owners be worried? Google maintains that the update will not impact results if a site isn’t primarily spammy or SEO-driven, but instead focused on genuinely helpful content. Let’s wait and see how things progress over the coming months!

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.