News

Tinder Will Soon Let You Background Check Your Matches

Published

6 years ago

March 22, 2021

tinder will soon let you background check your matches

Tinder dates are about to become a bit less nerve-wracking because the company behind the online dating application, Match Group, has invested in low-cost background check provider Garbo.

Thanks to Garbo, Tinder users will be able to see their potential date’s arrest record or history of violence just by entering the person’s first name and phone number or their full name only — information they should have before going on a date.

Garbo’s database includes public records and reports of violence or abuse, including arrests, convictions, restraining orders, harassment, and other violent crimes. The service accepts manual submissions of police report(s), order(s) of protection/restraining orders, and other legal documents that report abuse, harassment, or other crimes.

Garbo doesn’t, however, publicize charges that, according to the platform’s active stance toward equity, promote racism, hate, and oppression. “Garbo is acutely aware of systemic racial inequality in America and that the intimations of this are embedded in the criminal justice system,” explained Garbo in a blog post.

Most notably, Garbo believes that there’s no link between drug possession and gender-based violence, the company’s main focus. In addition to drug possession charges, Garbo also doesn’t disclose traffic violations, so don’t be surprised when your Tinder date runs a red light when speeding to make your restaurant reservation on time.

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The background check feature won’t be free, but Tinder’s parent company is trying to make it as accessible as possible. It’s possible that Tinder will charge for each background check, but the dating app could also include a certain number of background checks in each of its premium subscription plans.

Since Match Group also owns OkCupid, Hinge, and, of course, Match, it’s likely that their users will get to enjoy the ability to run background checks on potential dates in the near future. It’s worth noting that Match Group won’t share any data with Garbo, so it will be up to users themselves to enter the necessary information manually.

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.