News

WhatsApp Usernames Are Coming: Here’s How To Claim Yours

Meta says handles will keep phone numbers private. Regulators and fraud watchers are less sure the trade-off is that simple.

Published

4 months ago

July 6, 2026

Dana Saadeh

whatsapp usernames are coming here's how to claim yours

Meta

For more than a decade, using WhatsApp has meant handing out your phone number. But that’s about to change. Meta announced last week that the messaging platform will introduce usernames – handles that can stand in for a phone number, keeping personal contact details private.

The feature isn’t live yet, and a global rollout will unfold over the coming months. But reservations are already open, and the scramble has begun. Anyone hoping to carry the same handle across every platform will want to move quickly.

Reservations are currently limited to the mobile app. On iPhone, users will need to tap the You button, open their profile, and select “Create Username” or “Reserve Username,” depending on whether the rollout has reached them. On Android, the same options sit under the three-dot menu, in Settings, via your profile. There’s also a shortcut: users can claim their existing Facebook or Instagram handle, provided nobody has taken it first – though anyone chasing privacy may prefer a fresh name that isn’t linked to their other accounts.

The rules are similar to other online platforms. Usernames must be unique, between three and 35 characters, and composed of lowercase letters, numbers, underscores, and periods. All-number handles are banned, as are restricted words or phrases. If someone changes or deletes a claimed name, it returns to the pool after 14 days. Meta hasn’t said how many changes each user will be allowed, only that a limit is coming.

Also Read: Instagram Now Lets You Tune Its Algorithm, But There’s One Big Catch

The harder part of the puzzle is fraud. Meta plans an authorization key for first-time contact by username, but it hasn’t explained how it will police copycats impersonating public figures, which is a real concern when social media scams have already cost users billions of dollars.

Reuters reported that India’s government wants Meta to freeze the rollout until it justifies the feature and details how it will combat the elevated fraud risks. With more than 500 million users, India is WhatsApp’s largest market, and will be the first regulatory test of whether usernames launch everywhere at once.

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.