9to5Mac58%

Security Bite: Passkeys were supposed to have killed the password by now... - 9to5Mac 25%

By Arin Waichulis0%

7/10/2026, 5:31:16 AM

BS Summary: This article contains 31 faulty reasoning types, including Appeal to Authority, Ambiguity (Equivocation), and Overconfidence Bias, with Attempt to Sell a Product or Service as the most egregious example at 21.4% saturation with 175 hits. Analysis detected 1,773 faulty-reasoning hits from 817 analyzed words, generating a BS Score of 37.5% and a BS Rank of 25% (16,419 of 21,887 articles). This article is better (less manipulative) than 75.00% of the article peer group.

Security Bite: Passkeys were supposed to have killed the password by now… 
Arin Waichulis | Jul 10 2026 - 5:31 am PT 
9to5Mac Security Bite is exclusively brought to you by Mosyle, the only Apple Unified Platform . 
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For years, bullish supporters have heralded passkeys as the future of sign-on, while traditional passwords are seen as the way of the past. 
It’s praised as a frictionless, far more secure alternative. 
But this week, I used normal passwords to authenticate more times than I can count. 
Don’t get me wrong, the adoption of passkeys has been impressive. 
More on that soon. 
However, I can’t help but reflect on the current state of sign-on and how lesser is still largely dominant in the wake of far better technology. 
A passkey is really two cryptographic keys. 
A private one that never leaves your device, and a public one that sits on the site you’re logging into. 
When you sign in, your device proves it holds the private key without ever sending anything a man-in-the-middle (cybercriminal) could grab, which is why passkeys can’t be phished the way a typed password can. 
The best way I can explain it: passwords are something you know; passkeys are something you have (on a device) or something you are (biometric ID). 
On your Apple devices, Face ID or Touch ID does the verifying and your private key sits in the Secure Enclave. 
If you used multiple devices, iCloud Keychain will securely sync the private keys across iPhone, iPad, and Mac, within their respective Secure Enclave-protected boundaries. 
More than 15 billion accounts can now sign in with a passkey, according to the FIDO Alliance , and Google says its own passkeys have authenticated users over a billion times across more than 400 million accounts. 
At WWDC 2025, Apple rolled out a new account creation tool that lets apps sign you up with a passkey from the start, so no password is ever required. 
Microsoft went a step further and made new accounts passwordless by default. 
However, there is still significant resistance among companies to adopting passkeys. 
A new website was even spun up recently that shames popular websites that still don’t offer passkeys to users. 
Some names on the list are shocking: Instagram, Spotify, Netflix. 
The resistance to adoption comes down largely to recovery. 
FIDO2, the standard passkey protocol, has no built-in recovery flow. 
If you were to lose every device that holds your passkeys, your fallback is, well, an email reset link. 
The exact weak-point passkeys were meant to be rendered obsolete. 
That’s why SaaS companies and other websites keep the old password field on the login screen as a backup. 
Portability is another problem, but it’s getting addressed fast. 
Since passkeys live in iCloud Keychain, Google Password Manager, different browsers, etc, those vaults don’t communicate and thus can’t hand credentials to each other. 
But that’s slowly changing. 
Apple added cross-platform passkey import and export with iOS 26. 
The announcement was a notable change in tone, given how tightly integrated Apple’s Keychain ecosystem was. 
Until the Credential Exchange Protocol behind it works cleanly across every platform, switching ecosystems can turn passwordless into lock-in. 
Native support for passkey import and export on iPhone 
The cryptography itself is sound and extraordinarily more phishing-resistant. 
It’s not a technical end-all. 
The problem with passkeys is more operational. 
Recovery needs to be reliable, portability has to be seamless, and websites have to actually remove the password field before the password era ends for good. 
Apple’s ahead of most, with the smoothest ecosystem experience (no surprise there) and shipped export support before Google. 
But until the above gaps close, I don’t think those sign-in boxes are going anywhere anytime soon. 
Passkeys will be the future of authentication…eventually. 
Security Bite is 9to5Mac’s weekly deep dive into the world of Apple security. 
Each week, Arin Waichulis unpacks new threats, privacy concerns, vulnerabilities, and more, shaping an ecosystem of over 2 billion devices. 
F ollow Arin: Twitter/X , LinkedIn , Threads 
Check out 9to5Mac on YouTube for more Apple news: 
Arin Waichulis's favorite gear 
My laptop! 
Lightweight. 
Fast. 
Seemingly indestructible. 
55-inch Stand-Up Desk 
My current and favorite electric stand-up desk I've tested. 
The quality is great and the price even more so. 
Article reasoning-pattern comparisonThis article: 1.3%Arin Waichulis: 2.5%9to5Mac: 2.7%Confirmation Bias1.3%This article: 0.0%Arin Waichulis: 0.8%9to5Mac: 2.2%Anchoring Bias0.0%This article: 3.9%Arin Waichulis: 2.5%9to5Mac: 2.8%Availability Heuristic3.9%This article: 5.1%Arin Waichulis: 0.9%9to5Mac: 1.0%Representativeness Heuristic5.1%This article: 4.4%Arin Waichulis: 0.8%9to5Mac: 0.3%Hindsight Bias4.4%This article: 13.7%Arin Waichulis: 5.4%9to5Mac: 2.9%Overconfidence Bias13.7%This article: 3.2%Arin Waichulis: 5.3%9to5Mac: 5.3%Framing Effect3.2%This article: 2.3%Arin Waichulis: 0.7%9to5Mac: 1.3%Loss Aversion2.3%This article: 3.2%Arin Waichulis: 0.8%9to5Mac: 0.7%Status Quo Bias3.2%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Sunk Cost Effect0.0%This article: 10.3%Arin Waichulis: 0.9%9to5Mac: 3.4%Optimism Bias10.3%This article: 8.9%Arin Waichulis: 1.5%9to5Mac: 1.9%Pessimism Bias8.9%This article: 9.5%Arin Waichulis: 5.6%9to5Mac: 4.6%Negativity Bias9.5%This article: 1.1%Arin Waichulis: 1.9%9to5Mac: 0.7%Self-Serving Bias1.1%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Actor-Observer Bias0.0%This article: 0.0%Arin Waichulis: 0.6%9to5Mac: 0.3%In-Group Bias0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Out-Group Homogeneity Bias0.0%This article: 9.5%Arin Waichulis: 2.1%9to5Mac: 3.5%Halo Effect9.5%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Horn Effect0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Dunning-Kruger Effect0.0%This article: 3.2%Arin Waichulis: 0.6%9to5Mac: 1.8%Recency Bias3.2%This article: 2.2%Arin Waichulis: 0.0%9to5Mac: 0.4%Primacy Effect2.2%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Blind-Spot Bias0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Ad Hominem0.0%This article: 0.0%Arin Waichulis: 1.0%9to5Mac: 0.1%Straw Man0.0%This article: 16.8%Arin Waichulis: 3.6%9to5Mac: 3.6%Appeal to Authority16.8%This article: 5.1%Arin Waichulis: 1.9%9to5Mac: 1.4%False Dilemma5.1%This article: 6.4%Arin Waichulis: 1.0%9to5Mac: 0.6%Slippery Slope6.4%This article: 0.0%Arin Waichulis: 0.2%9to5Mac: 0.2%Circular Reasoning0.0%This article: 13.5%Arin Waichulis: 6.5%9to5Mac: 4.8%Hasty Generalization13.5%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Red Herring0.0%This article: 2.8%Arin Waichulis: 3.9%9to5Mac: 0.8%Bandwagon2.8%This article: 9.7%Arin Waichulis: 5.3%9to5Mac: 2.2%Appeal to Emotion9.7%This article: 1.2%Arin Waichulis: 0.1%9to5Mac: 0.6%Begging the Question1.2%This article: 6.1%Arin Waichulis: 1.0%9to5Mac: 1.9%Post Hoc (False Cause)6.1%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Tu Quoque0.0%This article: 0.0%Arin Waichulis: 1.3%9to5Mac: 0.4%Burden of Proof0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Appeal to Nature0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Composition/Division0.0%This article: 3.2%Arin Waichulis: 6.2%9to5Mac: 2.4%Anecdotal3.2%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%No True Scotsman0.0%This article: 14.4%Arin Waichulis: 2.1%9to5Mac: 1.9%Ambiguity (Equivocation)14.4%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Middle Ground0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Personal Incredulity0.0%This article: 4.2%Arin Waichulis: 0.0%9to5Mac: 0.2%Special Pleading4.2%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Genetic Fallacy0.0%This article: 11.6%Arin Waichulis: 0.5%9to5Mac: 2.4%Unattributed Quote11.6%This article: 3.2%Arin Waichulis: 0.1%9to5Mac: 0.4%Quote-first Misdirection3.2%This article: 13.2%Arin Waichulis: 6.7%9to5Mac: 6.0%Biased Writer Voice13.2%This article: 2.2%Arin Waichulis: 2.3%9to5Mac: 2.1%Indoctrination2.2%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Politically Right Leaning Bias0.0%This article: 21.4%Arin Waichulis: 10.5%9to5Mac: 15.7%Attempt to Sell a Product or S…21.4%

817 words analyzed.

Speakers

6speakers31%attributed speech565writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageArin Waichulis • 10 words • 0.0% coverage9to5Mac • 16 words • 100.0% coverageMosyle • 10 words • 100.0% coverageMosyle • 40 words • 100.0% coverageMosyle • 30 words • 100.0% coverageMosyle • 18 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 37 words • 100.0% coverageApple • 29 words • 0.0% coverageMicrosoft • 12 words • 0.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageFIDO2 • 10 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageApple • 10 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverage9to5Mac • 13 words • 0.0% coverage9to5Mac • 20 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverage9to5Mac • 9 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageArin Waichulis • 2 words • 0.0% coverageArin Waichulis • 1 words • 0.0% coverageArin Waichulis • 1 words • 0.0% coverageArin Waichulis • 2 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageArin Waichulis • 9 words • 0.0% coverageArin Waichulis • 10 words • 100.0% coverage
Selected voice

Mosyle

100%flagged-word coverage
98 attributed words39% of attributed speech80% writer coverage
0%50.0%100.0%Attempt to Sell a Product +96.1 ptsWriter: 3.9%Mosyle: 100.0%100.0%Biased Writer Voice+28.8 ptsWriter: 12.0%Mosyle: 40.8%40.8%Indoctrination+18.4 ptsWriter: 0.0%Mosyle: 18.4%18.4%Unattributed Quote-16.8 ptsWriter: 16.8%Mosyle: 0.0%0.0%Quote-first Misdirection-4.6 ptsWriter: 4.6%Mosyle: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.