News

Nanoleaf Sense+ Control Lighting Handles Automation By Itself

The smart light switches connect to a Thread Border Router known as the Nala Learning Bridge, which features an onboard assistant.

Published

4 years ago

January 4, 2023

Nour Nasir

Nanoleaf

Smart devices such as light bulbs and switches have been around for a long time. These products allow you to turn lights on and off remotely, adjust colors and brightness, plus set up automatic schedules.

There is, however, a slight catch.

Until now, the scheduling part of the equation is something you’ve mostly had to handle yourself, and depending on the app in question, the experience can often be frustrating and time-consuming.

Nanoleaf aims to fix those scheduling issues with its newly announced Sense+ Control family of products. The smart device lineup consists of the Sense+ Smart Light Switch, Sense+ Wireless Light Switch, and Nala Learning Bridge. All three products are Matter and Thread enabled and feature built-in motion and ambient light detection. The Nala Learning Bridge functions as a Thread Border Router and acts as the smart home network’s hub while featuring its own ambient lighting.

nanoleaf sense+ smart control nala automation

As well as a router, Nala is also the name of the Nanoleaf Automations Learning Assistant. The inbuilt technology uses complex machine learning algorithms to predict a user’s routines and adjust lighting accordingly. The company claims that, “Over time, users will be able to have a truly intelligent and hands-free experience with the smart lighting in their home.”

Nanoleaf 4D

nanoleaf 4d

Also announced at this year’s CES 2023 was the Nanoleaf 4D, a system that synchronizes Nanoleaf lights with your TV. The system will ship with the Nanoleaf Screen Mirror Camera and a light strip featuring 50 customizable LED zones.

Using Nonoleaf’s Sync+ technology, the Nanoleaf 4D can mimic your screen’s colors and lighting patterns across all of the other Nanoleaf lights in the room, and supports pre-made scenes, including sunrises.

Nanoleaf Skylight

nanoleaf skylight

Nanoleaf already offers modular wall panels in its lineup, but soon, the company will add a set of square RGBW LED panels that can be arranged in different patterns on ceilings.

Named Skylight, this new product includes Nanoleaf’s screen mirroring technology, a music visualizer, and supports group scenes. Like the Nala Learning Bridge, Skylight can also be used as a Thread Board Router.

Finally, the company will also update its Essentials line to make them Matter compatible and release software updates to ensure everything works harmoniously. The Sense+ Control line, Nanoleaf 4D, and Skylight should all arrive in stores by the second half of 2023, with pricing yet to be announced.

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.