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Anghami’s New Elite Program Starts With A Three-Decade Catalog
The streaming platform is packaging entire careers rather than single releases, and Egyptian singer Angham is its first test case.
Streaming services have spent years optimizing for what’s new: the latest single, the newest playlist, the algorithmic nudge toward whatever dropped this week. Anghami is betting there is also an audience for the long view. The platform, which bills itself as the leading music and entertainment streaming service in the Middle East and North Africa, announced Anghami Elite today, a flagship program built around artists whose influence is measured in decades rather than chart weeks.
The first edition is dedicated to Angham, represented by Believe Artist Services. Across a career spanning more than three decades, the Egyptian singer has built a catalog that has resonated with generations of listeners across the region, and her latest EP, De Rohy, sits at the center of the launch.
Each Elite edition is designed to gather exclusive content, curated listening experiences and fan-focused activations, tracing an artist’s creative journey alongside their cultural impact. For Angham, that means personal stories from across her career, listening built around the songs that defined different chapters of it, and what Anghami calls special fan moments.
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“It is always a pleasure to connect with my audience, whether through my music, on stage, or through meaningful partnerships and initiatives that allow me to share a different part of myself with them,” Angham said. “This initiative gives me another beautiful opportunity to celebrate that connection and to share De Rohy in a new and personal way”.
Salam Kmeid, Head of Music Marketing at Anghami, cast the program as a matter of scope. “Anghami Elite is about giving artists of this calibre a platform that celebrates the full breadth of what they have created and the impact they continue to have,” Kmeid said. “It is also an opportunity for audiences to reconnect with their music in new ways, while introducing their work to new generations of listeners”.
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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.
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.
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