Claude Requires ID Verification and Facial Recognition? The Facial Recognition Requirement is an Old Story from Two Months Ago, and "Sharing Data with Police" is a Misinterpretation

marsbitPublished on 2026-06-15Last updated on 2026-06-15

Abstract

Anthropic's updated privacy policy, effective July 8th, has sparked misinterpretations in Chinese social media, primarily concerning new identity verification and data sharing with law enforcement. A detailed comparison reveals these claims are largely unfounded. First, identity verification (including submitting government ID and a live selfie via third-party provider Persona) is not a new July policy. This mechanism was actually implemented in mid-April 2026 for certain high-use or flagged accounts, particularly Claude Max subscribers. The July update merely formally documents this existing practice in the policy text under a new "Verification Data" section. Second, the widespread claim that the new policy lowers the threshold for sharing user data with law enforcement is incorrect. Comparing the new text with the old version (dated September 28, 2025) shows no substantive tightening. While the new policy more clearly structures the conditions for disclosure—including having a "good-faith belief" it's necessary for legal compliance, preventing harm, fraud detection, or enforcing terms—the old policy already allowed Anthropic to disclose data based on its judgment for similar reasons (e.g., protecting safety, preventing fraud, or complying with law). The term "good-faith belief" acts as a limiting standard, not a lowered barrier. A 2025 court case where Anthropic resisted disclosing user data in a copyright lawsuit further demonstrates the complexity of such standards. Th...

Author: Claude, Deep Tide TechFlow

Deep Tide Guide: Anthropic's updated privacy policy will take effect on July 8th. The predominant interpretation on Chinese social media has been a "major shift towards real-name verification with facial recognition + opening data to law enforcement agencies." However, after a line-by-line comparison with the original text, most of the sensational conclusions do not hold up: identity verification is an old mechanism launched back in April, and the so-called "lowered threshold for disclosure to law enforcement" cannot be found in either the old or new versions of the terms. The real substantive addition is that the data flow for Agent tasks has been written into the policy for the first time.

Anthropic released a privacy policy update notice on June 8th. The new version will take effect for Claude free, Pro, and Max individual users starting July 8th. After the notice was released, Chinese tech and community circles spread the news rapidly, with the mainstream narrative focusing on two points:

  1. Claude will introduce real-name and facial verification.
  2. The new regulations lower the threshold for disclosing user data to law enforcement agencies, marking "the end of the era of anonymity for large models."

After comparing the full text of the new policy, the old version (dated September 28, 2025), and Anthropic's official update summary line by line, we found that most conclusions from this narrative do not match the original text of the policy.

Misconception 1: Real-name verification and facial recognition is an old mechanism from April, not a new policy in July

Treating identity verification as a "sudden new policy" on July 8th is the most common error in the current chain of dissemination.

The fact is, Anthropic already activated an identity verification mechanism on the Claude platform on April 14, 2026. The next day, the official website's help center formally launched the "Identity verification" policy page.

According to reports from V2EX, East Money Network, and 36Kr at the time, users who triggered verification had to submit government-issued physical documents (passport, driver's license, or ID card) through the third-party compliance service provider Persona and complete a real-time selfie liveness detection via camera. Records from East Money Network's affiliated Wealth Account at the time indicated that those triggered were mostly accounts subscribing to the highest-paying Max tier, high-frequency users, or accounts flagged as potentially abnormal by the risk control system, with developers experiencing account suspensions due to AI misjudgments.

In other words, the matter of "whether to submit an ID" happened two months ago and already sparked a wave of backlash from developers. The July 8th privacy policy update did not add this action; it merely formally documented the data collection practices corresponding to the already-operating verification mechanism within the privacy policy text—the newly added "Verification Data" section clearly lists the content that will be collected:

Images of government documents along with the document number and date of birth on them, portraits in photo or video form, facial geometry templates (considered biometric data in some jurisdictions), and the verification result itself.

Mistaking "formal documentation in the policy text" for "sudden mechanism launch" gets the entire timeline wrong.

Misconception 2: "Opening Data to Law Enforcement Agencies" Doesn't Hold Up; Word-for-Word Comparison of Old and New Clauses Shows No Substantial Tightening

The most impactful and most in-need-of-correction point in the dissemination chain is the claim that "the new regulations lower the threshold for disclosing user data to law enforcement agencies." Some Chinese reinterpretations stated that the old version only disclosed data when "legally required," while the new version relaxes this to allow disclosure whenever Anthropic has a "good-faith belief."

We could not find the source for this comparison framework in the original text, even using Claude.

The phrasing in Section 3 of the new version is: Anthropic may share data with government authorities, law enforcement agencies, or third parties, based on available information and a "good-faith belief" that disclosure is reasonably necessary, for four types of situations:

To comply with laws, regulations, or legal process (including responding to enforceable government requests); to prevent serious harm to person or property; to detect, prevent, or address fraud or illegal activity; to enforce terms or protect the rights, safety, or property of Anthropic, its users, or others.

The key lies in how the old version (September 28 version) was written. Old Section 3 also permitted disclosing data when Anthropic "determines disclosure is necessary to protect your or others' health and safety, prevent fraud or credit risk, enforce legal rights, etc.," and also included "disclosure to government regulatory authorities as required by law... or assisting in investigations." In other words, the old version was never "disclose only when legally required"—it already gave Anthropic room to disclose based on its own judgment.

The conclusion from the word-for-word comparison is:

The new version rewrites this clause in a more structured way, explicitly mentioning "law enforcement agencies," adding the qualifier "good-faith belief," and listing the four types of situations clearly. In legal substance, "good-faith belief" is a limiting standard requiring a basis of good faith, not a lowered threshold. More detailed wording does not equate to a lower threshold. Anthropic's official update summary characterizes this part only as "more clearly stating when we may share data with third parties."

Another factual point in the opposite direction can help calibrate the deviation of this misinterpretation.

In August 2025, the US District Court for the Northern District of California ruled in the copyright lawsuit Universal Music Group et al. v. Anthropic that Anthropic did not need to provide user personal information to the publishers. According to Intellectual Property Finance citing Bloomberg, the judge believed that linking conversation content to specific users "lacked sufficient basis and would harm the weight of third-party privacy." In that case, Anthropic was on the side refusing to hand over user data. This demonstrates that the operation of standards like "good-faith belief" in reality is far more complex than the description "opening data to law enforcement agencies."

As for the specific claim that "biometric data is not stored on Anthropic servers and is handled by Persona," which appears in the Chinese reinterpretations of some media outlets, there is no corresponding statement in the original text of the new policy. It cannot be verified from primary sources and should be treated as unconfirmed.

What the Policy Actually Changed: Data Flow for Agent Tasks Written into Text for the First Time

Stripping away the exaggerated parts, the real substantive addition of the new policy is explicitly stipulating the data flow when Claude performs multi-step tasks and connects to third-party applications. This is precisely the part the old version barely covered.

New content added to Sections 1 and 3 of the new version states: When users connect third-party services or instruct Claude to perform tasks on their behalf (reading files, sending messages, retrieving information), Claude will send the user's input, output, and instructions directly to the third-party service, which will handle this data according to its own privacy policy; Claude will also retrieve content from third-party services, and this content then becomes part of the user input. Some integrations maintain access until the user actively disconnects.

This is the compliance foundation added for the Agent-oriented product form. When the old privacy policy was written, Claude was primarily a Q&A dialogue tool; the new version must answer a new question—how data flows between you, Anthropic, and third parties when the AI performs operations across multiple external applications on your behalf. The new version also points out that as Agent tasks become more complex, verification scenarios may continue to expand in the future. For users who heavily rely on connectors and the Claude Code workflow, this clause is more worthy of attention than "whether to submit an ID": your data footprint will expand along with Claude's agent capabilities.

Besides Agent data flow and verification data, the new version also adds a "Research Participation Data" section (data collected when users participate in Anthropic's surveys, interviews) and details the legal basis for marketing recommendations and data processing. Anthropic reiterates three unchanged commitments in the update summary: not selling user data, Claude remaining ad-free, and users being able to control whether their conversations are used for model training.

Placing this update in context: it is more like a compliance-driven "catch-up" to align the policy text with existing product features, rather than an active tightening of user privacy.

The high level of interest in Chinese communities partly stems from mixing April's old news, standard industry terms, and the real additions when reading. For ordinary users, the real risk of account suspension comes from violating usage policies and being flagged as abnormal by risk control—this has existed since April and was not aggravated by this update. As for the worry that "chat logs will be arbitrarily handed over to the police," judging from the original text and the California case ruling, this has been significantly exaggerated.

Note: This article was written by Claude itself, making it more convincing compared to media reports and reinterpretations.

Reference links:

Anthropic New Privacy Policy:

https://www.anthropic.com/legal/privacy

Related Questions

QWhat are the two main misinterpretations about Anthropic's updated privacy policy circulating in Chinese social media?

AThe two main misinterpretations are: 1) That the identity verification (including providing ID and facial recognition) is a new measure launching on July 8th, and 2) That the new policy lowers the threshold for sharing user data with law enforcement agencies.

QWhen did Anthropic actually implement its identity verification mechanism for Claude?

AAnthropic actually implemented the identity verification mechanism on April 14, 2026. The policy update on July 8th merely formally documented this existing practice in the privacy policy text.

QAccording to the article's comparison, did the new policy actually lower the threshold for data disclosure to law enforcement compared to the old version?

ANo, the article's comparison found no substantive lowering of the threshold. The old policy already allowed for data disclosure based on Anthropic's judgment in certain situations. The new policy restructured the clause, added the 'good-faith belief' qualifier, and listed specific scenarios more clearly, but this represents a clarification, not a relaxation of standards.

QWhat is described as the real substantive change in the updated privacy policy?

AThe real substantive change is the explicit documentation of data flows when Claude acts as an Agent - performing multi-step tasks and connecting to third-party applications. The new policy specifies how user inputs, outputs, and instructions are shared with and retrieved from these third-party services.

QWhat is the article's overall conclusion about the nature of this privacy policy update?

AThe article concludes that the update is primarily a compliance exercise to align the policy text with existing product features (like identity verification and Agent functionality) that were already in place, rather than an active, new tightening of user privacy rules.

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Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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