Airports sometimes turn simple tasks into a mini obstacle course: find your terminal, keep the boarding pass handy, show your ID, clear security and check the gate number. Digi Yatra is designed to make parts of this journey smoother by using facial recognition instead of repeated document checks at participating airports. But before you sign up, it helps to know how the system works, whether you actually need it, and what your options are if you choose not to use it. Here’s a complete guide to Digi Yatra: What is Digi Yatra? Digi Yatra is a voluntary, app-based biometric system that uses facial recognition to verify the identity of domestic air travellers at particular airports in India. Developed by the Ministry of Civil Aviation (MOCA) and the Digi Yatra Foundation, Digi Yatra acts as a mobile-based ID storage platform where air travellers can save their IDs and travel documents. Instead of showing your boarding pass and ID at multiple checkpoints at the airport, now eligible passengers can use facial authentication to move through airport entry, security and boarding gates. How does Digi Yatra work? According to the Digi Yatra website, the platform is built on a decentralised digital identity architecture using open standards developed by the World Wide Web Consortium (W3C), along with technologies such as Self-Sovereign Identity (SSI), Verifiable Credentials (VC) and Decentralized Identifiers (DID). As outlined in the Digi Yatra registration process, passengers complete a one-time enrolment using Aadhaar verification and a selfie, following which a digital identity credential is created in the Digi Yatra app. For every subsequent journey, travellers upload their boarding pass and share the necessary identity and travel credentials with their departure airport between 24 hours and 60 minutes before departure. At the airport, you can scan your boarding pass at a Digi Yatra
Jul 13, 2026 · via cntraveller.in
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Jul 13, 2026 · via youtube.com
Apple's cancelled self-driving car project may have crashed and burned, but it left behind something far more valuable - the Neural Engine that now powers AI across every iPhone, iPad, and Mac. According to Bloomberg's Mark Gurman, the doomed Project Titan forced Apple's chip team to solve on-device AI processing years before it became a competitive necessity, accidentally positioning the company as a leader in edge AI computing. Apple's Project Titan was supposed to revolutionize transportation. Instead, it revolutionized the company's silicon strategy in ways nobody saw coming. The self-driving car program never made it past internal prototypes, officially shutting down in early 2024 after years of false starts and leadership changes. But buried in the wreckage was a critical insight that would reshape Apple's entire product lineup - autonomous vehicles need massive on-device AI processing power, and they need it yesterday. That realization led directly to the Neural Engine, according to Mark Gurman's latest Power On newsletter. While competitors were still farming AI workloads out to the cloud, Apple's car team was already wrestling with real-time computer vision, sensor fusion, and split-second decision-making that couldn't afford network latency. The chip architecture they developed to handle those demands became the blueprint for every Apple device since. The Neural Engine made its public debut with the iPhone X and A11 Bionic chip in 2017. At launch, Apple positioned it primarily as a computer vision engine powering FaceID's facial recognition and those animated Animoji characters everyone briefly obsessed over. The original Neural Engine could perform 600 billion operations per second - impressive at the time, but quaint compared to today's standards. What wasn't obvious then was how the architecture would scale. Each generation brought exponential improvements. The A12 Bionic doubled performance to 5 trillion operations per second. By the time the A15
Jul 12, 2026 · via techbuzz.ai
France and the UK have agreed to increase staffing at border controls in response to warnings of travel chaos caused by new fingerprinting and facial recognition checks. Disruption at Channel crossings is expected to rise sharply next weekend at the start of the summer holiday season, with MPs saying there would be “utter chaos and miles of tailbacks” unless the EU’s entry-exit system (EES) is fixed or checks are suspended. The EU has rejected calls to suspend the system, but French officials have reportedly assured the UK transport secretary, Heidi Alexander, that more staff will be deployed to ease queues. On Sunday, Alexander announced £20m of UK government funding to help reduce delays. The Department for Transport said the money would increase capacity for processing vehicles, reduce wait times and ease congestion. Alexander said her French counterpart, Philippe Tabarot, had agreed that high levels of resourcing at border points were essential to enable smoother journeys for passengers over the summer period. French border police have offered to put more of its officers on UK soil to ensure passport booths are better staffed at Dover, Folkestone and London St Pancras station, from where the Eurostar departs, according to the Sunday Times. The exact level of any staffing commitment from France is unclear. A spokesperson for the DfT said: “Heidi Alexander and her French counterpart agreed that high levels of resourcing at border points are essential to enable smoother journeys for passengers over the summer period.” Alexander told Tabarot that biometric kiosks used to take fingerprints and facial scans were not working. The DfT pointed out that checks could be carried out on coach passengers and lorries, by French border police on UK soil. But instead they are having to manually register car passengers without biometrics while the French authorities wait for
Jul 12, 2026 · via theguardian.com
New security system causes major delays at Europe's airports amid peak travel season New security system causes major delays at Europe's airports amid peak travel season The European Union recently implemented a new security system to better monitor foreigners who enter and exit. But its messy rollout has upended the summer travel season. DON GONYEA, HOST: Wait times at European airports are, shall we say, up in the air. The European Union has implemented new facial recognition and fingerprinting systems at border crossings and in airports across the Schengen zone. That's the area of Europe where travelers can freely move without being rechecked at borders. It's called the entry exit system, EES for short. It's meant to keep better track of who comes in and who goes out. But the system has caused massive delays during Europe's peak summer travel season, and airports and airlines have pleaded with the EU to temporarily suspend it. Gunnar Olson has been covering this story for the website Thrifty Traveler. Welcome, Gunnar. GUNNAR OLSON: Thank you. Thanks for having me. GONYEA: I understand you've used this new biometric system. So walk us through exactly what the experience is like. OLSON: Well, my experience is probably going to infuriate anybody who sat in one of these long lines because I cleared EES with no line in about two minutes at the Rome airport in May, but I have a colleague who had the absolute opposite experience when he sat in a three-hour line in Copenhagen in June, after the kiosks all went down and they had to switch back to manual processing. So you could say that this experience is at least inconsistent for most travelers right now. GONYEA: OK. And - but then what exactly did they do? Just kind of walk us through
Jul 12, 2026 · via npr.org
Australia Is Set on Stronger Education Ties with Cambodia through Scholarships, Partnerships - July 13, 2026 , 11:50 AM PHNOM PENH – An expert has urged Cambodians to report a long-standing issue to Apple after users found that Khmer text copied from images is converted into Thai characters when pasted into documents. Chy Sophat, an information technology expert specializing in digital security, said that although Apple has improved the appearance of Khmer script, it has not resolved a problem in its character recognition (OCR) feature on macOS, iPadOS and iOS. “When you copy Khmer text from an image using OCR and paste it into a document, those Khmer characters are converted into Thai characters,” he said. Sophat said this issue remains a concern. He has reported the problem to Apple in the hope that it will be fixed in future updates. He also shares the issue on social media to raise awareness among Cambodians and encourage them to report to Apple to improve its Khmer language support. Under his Facebook post, Apple users also comment that they face the same problem from the previous iOS versions to the latest iOS update. Two years ago, Sophat also raised concern. Now, he hopes Cambodians will work together to report and let the company recognize this issue. System Has Limited Capacity Two key barriers that can prevent technology companies’ systems and artificial intelligence (AI) from perfectly using the Khmer language are the late entry of the Khmer language into the digital space and the limited availability of Khmer language text-based articles, according to Sophat. “It has many barriers. It is the digital era, and we (Cambodia) cannot catch up with the technology. For example, new technologies cannot include the Khmer language on time,” he said. The other challenge is the limited availability of
Jul 12, 2026 · via cambodianess.com
Compares the leading computer vision APIs, multimodal AI models, and open-source vision frameworks available in 2026. Explains where Google Cloud Vision, AWS Rekognition, Azure AI Vision, Clarifai, Imagga, and GPT-4o perform best. Helps developers and enterprises choose the right vision platform based on accuracy, pricing, scalability, and real-world use cases. Computer vision has moved well past simple object detection. Today's APIs and models handle everything from document OCR and facial analysis to open-ended visual reasoning, and the right choice depends heavily on what a team is actually building. With hyperscalers, specialized platforms, and multimodal language models all competing for the same use cases, picking a computer vision stack in 2026 means weighing accuracy, cost, and ecosystem fit rather than chasing a single "best" answer. Google Cloud Vision, AWS Rekognition, and Azure AI Vision continue to be the default starting point for almost all teams due to their unique strengths. Google Cloud Vision wins on OCR precision and number of label classes, which is above 10,000, with good support for multilingual text detection and hence is great for document scanning and e-commerce catalogs. AWS Rekognition wins on face-based functionality and video recognition and comes pre-integrated with S3, Lambda, and Kinesis Video Streams for organizations that want to use AWS. Azure AI Vision is a part of the new Azure AI Foundry Tools, and for enterprise teams on Microsoft identity & compliance services, it is clearly the winner, although its pricing model for Vision, Custom Vision, Face, and Document Intelligence services might be quite confusing. Also Read: Best Companies for Computer Vision Engineers to Work for in 2026 Apart from the “big three”, Clarifai and Imagga offer their services to those teams that require more flexibility than label-based tools can provide. With Clarifai, you get access to pre-trained models, visualized no-code model
Jul 12, 2026 · via analyticsinsight.net
Veritone Maps AI Growth Push as Oracle Partnership Targets Cost Savings Veritone VERI used a July 7 investor webcast to outline its strategy across artificial intelligence, data management, media, public sector and talent acquisition, with executives emphasizing the company’s focus on unstructured data and AI-enabled workflows. Ryan Steelberg, Veritone’s CEO and president, said the company was founded to address the growing volume of unstructured data, including video, audio, images and documents. He said Veritone’s proprietary AI operating system, aiWARE, supports a portfolio of applications designed to help organizations turn that data into intelligence, efficiency and revenue. “AI needs high-quality data to deliver meaningful outcomes, and organizations need AI to make sense of the massive amounts of data they already possess,” Steelberg said. He described Veritone as positioned at the intersection of AI and data, serving customers in media, entertainment, sports, public sector and talent acquisition. Commercial Business Focuses on Media, Sports and Archives Sean King, Veritone’s chief revenue officer, said the company’s commercial business helps organizations ingest, organize, understand, manage and monetize unstructured media data. He said the customer base is concentrated in global media and broadcast networks, professional sports organizations, and production studios and content archives. King said the business generates revenue through a hybrid model that includes SaaS subscriptions, consumption-based pricing, managed services, content licensing and professional services. He said the model provides recurring revenue while allowing Veritone to scale with customer usage. Executives highlighted Veritone Digital Media Hub, or DMH, as a core product for content management and monetization. Alyssa Clemson, senior product manager at Veritone, said DMH automatically identifies people, brands, text and other details in media assets, making content searchable and usable for licensing and distribution workflows. She said the product is being expanded into a self-service experience designed to make enterprise AI capabilities available
Jul 12, 2026 · via tradingview.com
Meta has removed the feature in its new Muse Image tool that let anyone generate AI images from your public Instagram photos, just three days after switching it on. The company said the feature "missed the mark" and is no longer available. The tool worked by letting a user @-mention any public Instagram account inside the Meta AI app and pull that person's photos into a generated image. The person whose photos got used was never asked and never notified. In its own update, Meta wrote that its "intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way," then added, "We've heard the feedback that this feature missed the mark, so it's no longer available." Here is the part that set people off. All public profiles for users over 18 were opted in by default, and you had to dig into your settings to turn it off. You were also never alerted if your photos had been used as a reference. Meta launched Muse Image on July 7 as the first image model from its Meta Superintelligence Labs, rolling it out through the Meta AI app, Instagram Stories, and WhatsApp in select markets, with Facebook, Messenger, and advertiser tools slated to follow. The tagging feature was gone by the afternoon of July 10. The backlash came fast from Hollywood. SAG-AFTRA told its members and all Instagram users to opt out, posting that "Meta now lets anyone use your Instagram photos in AI images without your consent" and urging people to "take action to protect your likeness." The talent agency CAA pushed the same line, saying "No one's name, image, likeness, voice or creative work should be used by any third party, including AI models, without clear,
Jul 12, 2026 · via fstoppers.com
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Jul 11, 2026 · via youtube.com
SUMMARY This is AI generated summarization, which may have errors. For context, always refer to the full article. BRUSSELS, Belgium – The EU charged Meta Platforms’ Instagram and Facebook on Friday, July 10, with breaching its tech rules, with regulators targeting features they say are designed to keep users hooked and demanding changes to autoplay and infinite scroll or risk fines. The European Commission’s preliminary findings follow a two-year investigation under the European Union’s landmark Digital Services Act, which requires large online platforms to do more to tackle illegal and harmful content. Social media companies face growing scrutiny around the world over concerns that their platforms are contributing to a mental health crisis among children, prompting some governments to impose or consider bans for underage users. The Commission, the EU’s tech regulator, said Meta had failed to adequately assess the addictive risks posed by highly personalized recommendations, autoplay and infinite scroll, which continuously feed users new content and encourage prolonged engagement. It said reels and stories on Facebook and Instagram could contribute to excessive or compulsive use. The regulator criticized Meta’s measures to mitigate these risks, saying time management tools can be easily dismissed, while parental controls require significant time, effort and technical knowledge to use effectively. Meta should disable features such as autoplay and infinite scroll by default, introduce effective screen-time breaks and make its recommendation system less focused on driving engagement, the Commission said. Meta disagrees with the charges “We disagree with these preliminary findings, which don’t accurately take into account the significant steps we’ve taken to protect teens,” Meta spokesperson Ben Walters said. “Since this investigation began, we rolled out Teen Accounts that automatically protect teens and put parents in control — allowing them to block access to Instagram at night and cap daily screen time at
Jul 11, 2026 · via rappler.com
Srinagar, July 11: As part of the robust security arrangements for the ongoing Shri Amarnath Ji Yatra, the Facial Recognition System (FRS) deployed by Anantnag Police generated a timely alert at the X-Ray Point, Nunwan Base Camp, leading to the detention of one Over Ground Worker (OGW).
Officials said the individual was identified as Mohd Iqbal Wani, son of Ali Mohd Wani, resident of Hajin, Bandipora.
Acting swiftly on the FRS alert, police personnel intercepted and verified the individual, during which he was confirmed to be an Over Ground Worker (OGW). The individual has been detained for further legal proceedings and investigation, they said.
The successful interception highlights the effectiveness of advanced technology integrated into the multi-layered security grid established by Anantnag Police for the safe and secure conduct of the Shri Amarnath Ji Yatra. The deployment of the Facial Recognition System continues to strengthen real-time surveillance, enhance access control, and enable prompt response to potential security threats, officials added.
They held that police remain committed to leveraging modern technology and maintaining a vigilant security framework to ensure a safe, peaceful, and incident-free pilgrimage.
Jul 11, 2026 · via greaterkashmir.com
SRINAGAR: Police on Saturday said an alleged Over Ground Worker (OGW) of militants was detained by cops with the help of the Facial Recognition System (FRS) at the Nunwan base camp of Amarnath Yatra in south Kashmir’s Anantnag district. “The Facial Recognition System (FRS) deployed by police generated a timely alert at the X-Ray Point, Nunwan Base Camp in Anantnag,” a police spokesman said. As part of security arrangements, police have deployed a Facial Recognition System (FRS) on the yatra route in south Kashmir’s Anantnag district. The spokesperson said that, acting swiftly on the FRS alert, the police personnel intercepted and detained the Overground Worker (OGW). The detained person was identified as Mohammad Iqbal Wani, S/o Ali Mohammad Wani, R/o north Kashmir’s Bandipora district. The police spokesman said that during verification, the individual was confirmed to be an Overground Worker (OGW) of militants. “The individual has been detained for further legal proceedings and investigation,” he said. According to a police spokesman, the successful interception highlights the effectiveness of advanced technology integrated into the multi-layered security grid established by Anantnag Police for the safe and secure conduct of the Amarnath Yatra. The deployment of the FRS, according to police, continues to strengthen real-time surveillance, enhance access control, and enable prompt response to potential security threats. Over two lakh pilgrims have visited the Amarnath cave shrine in the South Kashmir Himalayas since the start of the annual 57-day Amarnath yatra on July 3. The yatra will conclude on August 28 on Raksha Bandhan. It is the second case of detention of OGWs of militants by police with the help of FRS in south Kashmir within a week. Earlier, on July 8, police arrested three alleged Over Ground Workers (OGWs) of militants with the help of advanced surveillance FRS after it generated alerts
Jul 11, 2026 · via newindianexpress.com
Apple Inc. is facing a proposed class action in federal court in Illinois over claims that its Face ID system secretly captures detailed scans of users' irises and retinas without the written consent required under the state's biometric privacy law.The complaint, filed Saturday, was brought by Samantha Mettler, an Illinois... Read More » Insurer Says It Owes No Coverage to Data Firm Sued Over Meta Smart Glasses Recordings An insurer has gone to federal court in California to argue that it bears no responsibility for defending or paying out claims against Sama, the data annotation company accused of using recordings captured by Meta's smart glasses to help train artificial intelligence systems. In a complaint filed Monday, the insurer contends that the company's own policy explicitly excludes coverage for the type of privacy violations alleged in a wave of consolidated class action lawsuits. The insurer, Travelers Excess and Surplus Lines Co., told the court it has no duty to defend or indemnify Samasource Impact Sourcing Inc. (the company that operates as Sama) in connection with 13 class actions that have been consolidated against it. Travelers had issued Sama an errors and omissions policy and has been footing the bill for the company's defense, but only under a reservation of rights, meaning it preserved the ability to later argue that coverage never applied in the first place. The underlying litigation traces back to March, when users of Meta's AI-enabled glasses began suing both Sama and Meta in the Northern District of California. According to those lawsuits, the glasses recorded video and audio from wearers' everyday lives and funneled that footage to Sama's data annotation operations in Kenya, where employees reviewed and labeled the material to help train Meta's artificial intelligence systems. Plaintiffs say they had no idea this was happening and never
Jul 11, 2026 · via lawcommentary.com
An urgent search has been launched for a 17-year-old Oxfordshire girl.
Thames Valley Police has said they are searching for Safia who is currently believed to be in the Thame area.
A spokesperson for police said: "Have you seen Safia? Safia, age 17, is missing from the Oxford area.
READ MORE: Police facial recognition vans' visit to Oxfordshire town cancelled
"Safia has been reported missing to us on 07/07/26, after leaving her home address. Safia is believed to currently be in the Thame, Oxford area.
"Safia's described as a white / olive-skinned female, Jet black Shoulder-length hair with faded blonde pieces (not red as seen in the photograph), approximately 5'4", slim build, thought to be wearing Hello Kitty pyjama bottoms, may be carrying a black handbag.
"If you have any information, please contact TVP quoting reference - 43260344181."
Jul 10, 2026 · via oxfordmail.co.uk
POLICE will be deploying Live Facial Recognition (LFR) technology in Chester city centre on Saturday, July 11. With the city centre set to welcome increased numbers of visitors for Chester Races, the constabulary say the deployment will support officers in ‘identifying individuals who are wanted by police, outstanding suspects, and those who pose a risk of harm’. LFR alerts officers in real time if a person on a ‘specific, pre-approved watchlist’ passes through the area being scanned. Cheshire Constabulary says it will be available to speak with members of the public, businesses, and community groups to explain the technology, listen to concerns, and offer reassurance about the safeguards in place. It adds that strict privacy, data protection, and human rights safeguards are in place for every LFR deployment. Only images of individuals on a pre-approved watchlist are used by the system and ain biometric data of passers-by who do not match a person on that list is ‘automatically and immediately deleted’. Officers reviewing any potential matches must also confirm the identity before any action is taken. OTHER NEWS: - Chester Zoo extend opening hours for popular Afterglow event - Chester Cathedral at centre of new summer festival - Residents warned over Cheshire bridge closure as BBC filming takes place Cheshire Police will be clearly signposting the use of the technology throughout the city centre, including visible signs around the area and information shared online. A dispersal order will also be in place from 12pm on Friday, July 10, until 12pm on Sunday, July 12. The dispersal order will allow officers to ban anyone from the area for up to 48 hours, to prevent disorder. The area covered by the order is highlighted in a map, which is provided to anyone issued with a direction to leave. Chief Inspector Darren Griffiths,
Jul 10, 2026 · via chesterstandard.co.uk
July 10, 2026 Smart data capture solutions provider Scandit has introduced Age Verified Self-Checkout, a vision AI-powered solution that automates age verification for self-checkout purchases of restricted products such as alcohol, tobacco and certain medications, according to a press release. The software enables shoppers to verify their age using their smartphones without downloading an app or requiring additional kiosk hardware. The system can automatically complete about 80% of age checks, reducing the need for employee intervention and completing the verification process in less than 10 seconds for most customers, according to the company, The system is designed to streamline one of the biggest bottlenecks in self-checkout by replacing routine manual age checks with an automated process. After scanning an age-restricted item, shoppers scan a QR code displayed on the self-checkout kiosk, take a selfie and receive an instant age estimate using on-device vision AI. If additional verification is needed, customers can scan a government-issued ID, which is compared to the selfie to help detect fraudulent use of another person's identification. The kiosk receives only a pass-or-fail result. Scandit said the technology can improve compliance while reducing labor demands and checkout delays. The company estimated the solution can increase transaction throughput across a retailer's self-checkout fleet by about 5% while allowing store associates to focus on customer service and other higher-value tasks. The company also said the facial comparison technology is designed to identify attempts by underage shoppers to use someone else's ID. The solution marks Scandit's first biometric offering and emphasizes privacy by performing all age estimation and ID verification directly on the customer's device.No biometric or identification data is transmitted or stored by either Scandit or the retailer, according to the company. The platform is designed for grocery stores, supermarkets, convenience stores and fuel retailers with high volumes of
Jul 10, 2026 · via kioskmarketplace.com
Cheshire Constabulary to deploy Live Facial Recognition as city welcomes visitors for Chester Races By Livia Gregor 10th Jul 2026 This Saturday (11 July), Cheshire Constabulary will be deploying Live Facial Recognition (LFR) technology in Chester city centre. The LFR will assist officers in identifying individuals who are wanted by police, outstanding suspects and those who pose a risk of harm to the public as the city welcomes visitors for Chester Races this weekend. The technology alerts police in real time if a person on a specific, pre-approved watchlist passes through the area being scanned, allowing them to take appropriate action where necessary. During the course of the day, officers will be on hand to explain to members of the public, local businesses and community groups how the technology works, listen to concerns and offer reassurance about the safeguards in place. Cheshire Police said: "Strict privacy, data protection, and human rights safeguards are in place for every LFR deployment. "Only images of individuals on a pre-approved watchlist are used by the system and any biometric data of passers-by who do not match a person on that list is automatically and immediately deleted. "Officers reviewing any potential matches must also confirm the identity before any action is taken. "Cheshire Police will be clearly signposting the use of the technology throughout the city centre, including visible signs around the area and information shared online." Additionally, a dispersal order will be in place from 12pm on Friday 10 July until 12pm on Sunday 12 July 2026. This allows officers to ban anyone from the area for up to 48 hours to prevent disorder. The area covered by the order is shown above and a copy of the map will be provided to anyone issued with a direction to leave. Chief Inspector Darren Griffiths,
Jul 10, 2026 · via chester.nub.news
While AI can provide endless answers, Anthropic wants people to keep asking questions about it—specifically, its impact on humans. The AI company has launched a new film, “Hard Questions,” created by Mother and directed by Myles McAuliffe. The work is the latest in Anthropic’s Keep Thinking campaign, which launched in September 2025 and aims to positions it as a responsible company as AI use proliferates. “Hard Questions” opens with footage of a burning house at night. A voice asks, “Can AI be trusted?” It’s followed by a montage of images that demonstrate technology’s more controversial applications, like a child staring at a device and facial recognition software. The ad goes on to pose more questions: “Who’s gonna hit the brakes, if we need to?” and “But wait a minute, why do we have to have this stuff?” While the film starts skeptical, it arcs toward more hopeful questions toward the end, like “Could AI help people stop feeling misunderstood?” The images change in tone, too, showing people embracing, smiling together, and enjoying nature. The questions asked throughout the film didn’t come from creative execs or copywriters, but from more than 12,000 real people from around the world that Anthropic spoke with about their hopes and concerns regarding AI. As Anthropic plants its flag as a responsible AI company, “Hard Questions” also introduces a new initiative where people can continue to ask questions and get answers about AI. AI Responsibly “Hard Questions” furthers Anthropic’s work that address mixed consumer sentiment when it comes to AI. In January 2026, Open AI announced beta testing for ads on its platform ChatGPT. A few weeks later, Anthropic aired two spots during Super Bowl 60 that mocked how unwieldy and confusing the AI user experience would be with interruptive advertising. The ads drew a response
Jul 10, 2026 · via adweek.com
Proof, Enigma link KYB to authorized people, AI agents with biometrics Proof and Enigma have launched Business Certificates, a cryptographic credential that connects a verified business identity to the people and digital systems authorized to act on its behalf. Enigma provides the know-your-business (KYB) data used to verify a company’s identity, confirm whether it remains active and in good standing, and identify its owners and other key people. The company says it continuously refreshes these records using government filings, state registries, federal records, sanctions watchlists, and beneficial ownership information. Proof contributes its identity and authorization infrastructure. It verifies the individuals representing the business and issues the Business Certificate to link the business, its representatives, and the authorized action. The same model is also extended to AI agents acting under authority given by the company. The certificate is tied to a specific action rather than being stored only as an onboarding record. It can be attached to a wire instruction, a request to change a vendor’s bank account, a contract, an invoice, a press release, an executive statement, or an instruction submitted by an AI agent. The receiving organization could then check that the action originated from the business was approved by a verified representative. Proof verifies the individual, Enigma connects the person to the business In the process of verifying the individual representing the business, Proof uses its identity verification and authorization infrastructure. Proof supports verification aligned with NIST Identity Assurance Level 2 (IAL2), which establishes that an applicant is associated with a real-world identity. The business representative is asked to submit personal information and government-issued identity evidence, such as a driver’s license or passport. Proof analyzes the credential and asks the person to capture a live facial image. Its biometric comparison then checks whether the person taking the selfie
Jul 10, 2026 · via biometricupdate.com