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Callsign Predicts Widespread Fraud As We Approach 2023
Experts have made five predictions for the new year based on conversations with customers in the private and public sectors.
Digital trust and security experts, Callsign, have just released their predictions for 2023 in relation to fraud. The company has listed several emerging trends that will affect banks, telecommunication companies, social media, and eCommerce platforms. Here’s a summary of their top five predictions:
Dormant Account Takeovers Will Increase
Callsign’s first prediction is that dormant bank accounts — where consumers have not used a service for an extended period — will increasingly be utilized by fraudsters to launder illegal money.
Once a dormant account has been taken over, scammers will likely use deceptive social media adverts and phishing to trick unsuspecting members of the public into sending money.
Buy Now, Pay Later Fraud Will Rise
Buy now, pay later (BNPL) is already very popular in the Middle East, and will only continue to grow over the coming years. Unfortunately, the BNPL market isn’t yet as well regulated as other financial sectors, which can often mean neglected security protocols.
Callsign predicts that there will be a sharp rise in BNPL fraud in 2023, with businesses being exposed to various types of refund scams and more accounts will be opened using stolen or fake credentials.
Deep Fake Technology Will Become More Sophisticated
Although deep fake videos of celebrities make for interesting viewing, the technology does have a much darker side. Callsign reports that scammers are already using the technology to convince consumers to part with their cash, utilizing a mixture of visual identification and impersonation.
Fraud Will Enter The Metaverse
Web 3.0 is being heralded as a way to enable seamless connectivity across platforms and networks, with the potential to allow deeper collaborations and new opportunities for business and learning. As great as all of that sounds, the metaverse will undoubtedly suffer from many of the same issues currently plaguing the regular internet, including fake avatars, scams, and fraud.
Callsign thinks that 2023 will be the first year where widespread criminality makes its way onto Web 3.0, and depressingly, believes that “everything wrong from a security perspective with social platforms today will be considerably worse in the metaverse of tomorrow.”
A New Cycle Of Victims Will Emerge
According to Callsign’s Digital Trust report, Middle Eastern consumers tend to have higher levels of digital trust than those in other regions. That means that despite digital fraud being widespread for decades, 2023 will see a whole new segment of the global population falling victim to scams as greater numbers of people take their work, finance, and social lives online.
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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.
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.
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