Close Menu
techwavedispatch.com

    Subscribe to Updates

    Get the latest creative news from FooBar about art, design and business.

    What's Hot

    [2603.19422] Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs

    November 13, 2026

    Results of the Open Source AI Game Jam

    November 13, 2026

    What’s really at stake in the Jensen Huang saga

    November 13, 2026
    Facebook X (Twitter) Instagram
    Trending
    • [2603.19422] Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs
    • Results of the Open Source AI Game Jam
    • What’s really at stake in the Jensen Huang saga
    • Machine Learning Moment Closure for the Boltzmann Transport Equation: Enforcing Hyperbolicity
    • Screenless GPS: Slate Auto says, “Remember the road atlas”
    • ElevenLabs’ new app combines meeting note-taking and dictation for teams
    • Open ML Considerations in the EU AI Act
    • Meta discussed attacking Jonathan Haidt — now even his haters are annoyed
    Facebook X (Twitter) Instagram
    techwavedispatch.com
    Subscribe
    Friday, November 13
    • Home
    • AI Tools & Software
    • Machine Learning
    • Generative AI
    • Robotics & Automation
    • Future Tech & Hardware
    • AI in Business
    • Ethics & Regulations
    • More
      • Gadgets & Smart Devices
      • Cybersecurity & AI
      • Tech Breakthroughs
    techwavedispatch.com
    Home»Ethics & Regulations»Apple’s HomeView Tries Face Authentication Without FaceID
    Ethics & Regulations

    Apple’s HomeView Tries Face Authentication Without FaceID

    adminBy adminNovember 12, 2026No Comments4 Mins Read
    Facebook Twitter Pinterest LinkedIn Tumblr Email
    Apple’s HomeView Tries Face Authentication Without FaceID
    Share
    Facebook Twitter LinkedIn Pinterest Email

    Apple’s HomeView, which debuts on Friday, is a smart home device—think of it as a an iPhone-Apple Watch hybrid sitting on your counter—that can be personalized for up to six people and connected to each of their iCloud accounts. Using ambient face and voice data, it is designed to seamlessly switch between users while maintaining each of their privacy. You can ask HomeView about your schedule for the day and what movie your friend recommended in a text, but you’ll be stopped from asking about your roommate’s travel plans or her texts from last night. The feature doesn’t rely on one of Apple’s battle-tested biometric locks, like FaceID or TouchID, though. Instead, it uses new “person recognition” technology built off of an Apple architecture for securing sensor data.

    This is a key departure for Apple. On the one hand, the company has still been very careful to think about security and privacy comprehensively. Not only does HomeView check for your face and voice before accessing your data from iCloud, it is also designed like an Apple Watch to check that your iPhone or iPad is on the same Wi-Fi network as the HomeView and has been recently unlocked (with FaceID or a PIN). On the other hand, expanding the architecture used to process biometric data and authenticate users creates more opportunities for mistakes and potential vulnerabilities. And when it comes to attempting to access users’ Apple data, both law enforcement and exploit brokers consistently go to great lengths to attempt to break the company’s on-device defenses.

    FaceID is built for the use case where a person is staring at their device head-on from less than an arm’s length away. It provides reliable security that’s difficult to defeat because it stores your biometric data on a special, physically isolated chip known as the Secure Enclave—first introduced in 2013 for the iPhone 5s. The architecture is so robust that Apple also relies on the Secure Enclave as the foundation of a device’s entire encryption scheme. But Apple concluded that FaceID wasn’t the best fit for the HomeView, because it needs to bounce quickly between users and relies on AI processing, which can’t all be squeezed into the Secure Enclave.

    As a result, HomeView uses Apple’s recently announced Secure Exclave (note the “x”) to handle the video and audio data the device uses to evaluate who is in a room at a given time. Apple says it has actually been laying the groundwork for the Secure Exclave for a long time—early versions of the architecture were already in place for the iPhone 16 and 17 and MacBook Neo. Instead of being an entirely separately chip, the Secure Exclave is a dedicated, memory-protected space in recent Apple processors. It is in Apple’s latest S11 chip for Apple Watch Series 12 and Apple Watch Ultra 4, as well as the A20 Pro chip for iPhone 18 Pro and iPhone Duo.

    Even though the Secure Exclave isn’t based on the tried and true Secure Enclave technology, Apple argues that it is robust and expands the company’s ability to secure a range of features, including improving the security of existing mechanisms. In a blog post on Thursday, the company even goes into some detail about how it used the mathematical technique known as formal verification to vet the “microkernel” designed for the Secure Exclave.

    “This work both benefits our newest features and strengthens the security of features we already ship, such as ‘Hey Siri’ detection,” the company writes in a blog post. “Our goal is to keep ambient sensor data secure even against highly sophisticated attacks.”

    HomeView and the MacBook Neo also use the Secure Exclave to govern the indicator light that tells users when their camera or microphone is active. The goal is to isolate this process and the chain of command governing it to make it even more difficult for attackers to try to disable an indicator light when it should be on or stop it from coming on in the first place.

    The HomeView’s “person recognition” technology is simply not as comprehensive as FaceID, though, and it is possible that the technology is more susceptible to reconstructed 3D depth map attacks—and potentially voiceprint attacks—than FaceID.

    Of course, you don’t have to have a HomeView in your house. Or if you do, you can use it on guest mode or a less involved “personalized” mode that only incorporates things like your playlists for other users to access as well and doesn’t access calendar or Messages data. But as Apple forges deeper into AI integration, HomeView’s departure from FaceID provides insight into the scale of the changes Apple is planning.

    Apples Authentication Face FaceID HomeView
    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    admin
    • Website

    Related Posts

    What’s really at stake in the Jensen Huang saga

    November 13, 2026

    Meta discussed attacking Jonathan Haidt — now even his haters are annoyed

    November 13, 2026

    Why Apple’s HomeView Relies So Heavily On Your iPhone

    November 13, 2026
    Leave A Reply Cancel Reply

    Top Posts

    NVIDIA Is Investigating Reports That CEO Jensen Huang Was The Target Of Chinese Spy Efforts

    November 8, 202619 Views

    ADIndex: Layer-Adaptive Sparse Attention Indexing via Group-Level Distillation

    November 11, 20265 Views

    Anthropic releases new Mythos and Fable models amid RSI concerns

    November 9, 20265 Views

    Anthropic says AI is eroding Nvidia’s CUDA lead, cutting an AMD chip switch from months to three days

    November 11, 20264 Views
    Don't Miss
    Machine Learning

    [2603.19422] Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs

    By adminNovember 13, 20260

    [Submitted on 19 Mar 2026 (v1), last revised 12 Nov 2026 (this version, v2)] View…

    Results of the Open Source AI Game Jam

    November 13, 2026

    What’s really at stake in the Jensen Huang saga

    November 13, 2026

    Machine Learning Moment Closure for the Boltzmann Transport Equation: Enforcing Hyperbolicity

    November 13, 2026
    About Us

    Welcome to TechWave Dispatch

    At TechWave Dispatch, we bring you the latest news, insights, and developments from the ever-evolving world of technology. Our mission is to keep readers informed about the innovations shaping our digital future.

    From artificial intelligence and machine learning to cybersecurity, robotics, smart devices, and groundbreaking technologies, we cover the topics that matter in today's fast-moving tech landscape.

    Our Picks

    [2603.19422] Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs

    November 13, 2026

    Results of the Open Source AI Game Jam

    November 13, 2026

    What’s really at stake in the Jensen Huang saga

    November 13, 2026
    Most Popular

    Who Controls Scientific Discovery? – O’Reilly

    November 6, 20260 Views

    After blocking Muse, Amazon now lets users text Alexa to help them shop

    November 6, 20260 Views

    A controlled world for robot learning and evaluation

    November 6, 20260 Views
    Facebook X (Twitter) Instagram Pinterest
    • Terms and Conditions
    • Privacy Policy
    • Contact Us
    • About Us
    © 2026 TechWave Dispatch. All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.