News

Qatar’s Biodiversity Database Platform Set For 2024 Launch

The project, in collaboration with UNEP, aims to preserve local species and gather valuable environmental data.

Published

3 years ago

February 6, 2024

Nour Nasir

qatar's biodiversity database platform set for 2024 launch

Qatar Ministry Of Municipality

The Ministry of Environment and Climate Change (MoECC) has reached the final phase of a project to create Qatar’s biodiversity database platform.

The primary objective of this endeavor is to construct a sustainable biodiversity database and generate ecological maps of Qatar to pinpoint significant biodiversity sites across the nation. The project will establish a large electronic repository encompassing biodiversity-related and environmental data, cataloging all indigenous plant and animal species in the country in alignment with the Qatar Digital Government Strategy 2023-2025.

The scheduled launch for the database is set for later this year. Experts have already examined the project’s completed phases and unveiled the electronic platform’s initial design, which conforms to international standards.

With the project nearing completion, MoECC recently organized a series of meetings and coordination sessions over a three-day period, which dealt with the final stages of completing the project.

During a workshop held on January 30, a team from the World Conservation Monitoring Center delivered an in-depth presentation on the electronic platform, demonstrating the cutting-edge technology in its design. The software will facilitate seamless user operations and provide advanced capabilities alongside an initial assessment to identify research user requirements and review the database.

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On January 31, another training workshop was conducted, in which the project team oversaw advanced technological training for MoECC’s technical team. The trained group of users will manage the content of the project’s knowledge management platform in collaboration with the ministry’s communication teams after the official project launch later this year.

Launched in 2021, the Qatar biodiversity database project’s overarching goal is to compile a database for preserving the nation’s biodiversity. This resource will also support the creation of reports related to biodiversity, monitoring efforts, and decision-making processes.

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.