Sun. May 29th, 2022

CEO of, a service used by dozens of states To verify the unemployment benefit claimants As well as a number of federal agencies, it has reversed previous claims that the agency does not use more robust methods. Facial recognition.

“ uses a specific ‘1 to many’ to target organized crime targets on selfies attached to government programs to prevent identity thieves and members of organized crime from stealing the identities of large numbers of innocent victims,” ​​Blake said. Said in a statement. “This step is internal to and does not involve any external or government database.”

Contrary to that comment Made earlier this week. “Our 1: 1 face match is comparable to taking a selfie to unlock a smartphone,” he said. “Does not use 1: a lot of facial recognition, which is more complex and problematic.”

1: Many methods involve matching images to a database, where 1: 1 is to make sure someone matches their own image. For a 1: 1 match, compares a user’s selfie with the official ID they uploaded.

Privacy advocates have criticized both approaches. Studies have shown that some facial recognition systems Struggling to identify people with darker skin tonesAnd concerns have been raised about the security risks involved in storing biometric data.

Hall says that’s 1: multiple checks “occurs once during registration, and exists to ensure that a single attacker is not registering multiple identities. This step is not linked to identity verification. It prevents legitimate users from verifying their identities. No, or is it used for any purpose other than to prevent identity theft. “

He claims that the data shows that the omission of 1: many checks will “immediately lead to significant identity theft and organized crime. The 1: 1 face match step as explained in our previous report is the only step to verify identity.”

According to Cyberscope, Some employees have expressed concern that the company’s public statements are not consistent with what they are actually doing. “We can disable 1: multiple face searches, but then lose a valuable anti-fraud tool. Or we can change our public position on using 1: multiple face searches,” an engineer posted on an slack channel. It is known this week. “But it seems we can’t do one thing and say another because it’s forced us into hot water.”

“If companies and governments have to lie about face recognition to avoid public scrutiny, they shouldn’t use it,” said Caitlin Silly George, director of the Fight for the Future campaign. Said in a statement. “We already know that this company is willing to say something to get more government contracts. The CEO of is pedaling the wrong number about unemployment benefits fraud, but the IRS knew about this inconsistency, which is a big problem. The only thing responsible for any other state or federal agency using IRS and is to terminate these agreements immediately. “ has recently returned to the spotlight after cybersecurity reporter Brian Krebs. Trying to set up an account, Which will have to log in to the online portal of the Internal Revenue Service this summer Krebs encountered difficulties during the verification process and lined him up to join a video call with a live agent. The system gave Krebs an estimated wait time of three hours and 27 minutes.

Hall said works with 10 federal agencies, 30 states and 540 companies. Last year, some users Report After the system fails to verify their identity they have to wait a few months to get the benefits. In some cases, people have said that they have had no success with the video chat system.

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