Provision record
Anthropic · Anthropic Sub-Processors · View original document ↗

Fraud and Abuse Detection Subprocessors

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Document Record

What it is

The document identifies Sift and Arkose Labs, both located in the United States, as subprocessors providing fraud and abuse detection across all Claude products except Claude for Government.

This analysis describes what Anthropic's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Fraud and abuse detection systems typically analyze behavioral signals, device fingerprints, IP addresses, and usage patterns to identify anomalous activity. Processing of this data by two separate U.S.-based vendors across all non-government products creates data sharing obligations under GDPR and may be relevant to user transparency and profiling disclosures.

Interpretive note: The document does not specify the categories of personal data shared with fraud detection subprocessors, creating uncertainty about the scope of data processing and applicable profiling disclosure obligations.

Consumer impact (what this means for users)

Under these provisions, behavioral and usage data for non-government Claude products is processed by Sift and Arkose Labs in the United States for fraud and abuse detection purposes. EU and UK users should note that this constitutes a transfer of personal data to U.S.-based processors requiring GDPR-compliant transfer mechanisms.

Cross-platform context

See how other platforms handle Fraud and Abuse Detection Subprocessors and similar clauses.

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▸ View Original Clause Language DOCUMENT RECORD
"
Sift • Fraud and abuse detection United States Products: All products except Claude for Government Arkose Labs • Fraud and abuse detection United States Products: All products except Claude for Government

Excerpt from Anthropic's Sub-Processors

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

(1) REGULATORY LANDSCAPE: Automated fraud detection processing may constitute profiling under GDPR Article 4(4) and Article 22, depending on whether it produces legal or similarly significant effects on users.

Insight

Unlock the full institutional analysis

Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.

Applicable agencies

  • Federal Trade Commission (ftc)
    Oversees unfair or deceptive business practices and can investigate companies that mislead consumers about data collection, sharing, or use.
    Who can file: Anyone affected by the company's practices (US or international)
    What you need: Your account details, a timeline of relevant events, and a description of the specific issue
    What to expect: Complaints inform FTC enforcement priorities and investigations but do not result in individual resolution or compensation
    File a complaint →

Provision details

Document information
Document
Anthropic Sub-Processors
Entity
Anthropic
Document last updated
July 6, 2026
Tracking information
First tracked
July 9, 2026
Last verified
July 9, 2026
Record ID
CA-P-016521
Document ID
CA-D-00927
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
457bdbd014a4e53dbff83f8c81ac0d19955ab074b3b80141c282daaa071fb66a
Analysis generated
July 9, 2026 14:51 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Anthropic
Document: Anthropic Sub-Processors
Record ID: CA-P-016521
Captured: 2026-07-09 14:51:04 UTC
SHA-256: 457bdbd014a4e53d…
URL: https://conductatlas.com/platform/anthropic/anthropic-sub-processors/provision/CA-P-016521/fraud-and-abuse-detection-subprocessors/
Accessed: Sept. 8, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does Anthropic's Fraud and Abuse Detection Subprocessors clause do?

Fraud and abuse detection systems typically analyze behavioral signals, device fingerprints, IP addresses, and usage patterns to identify anomalous activity. Processing of this data by two separate U.S.-based vendors across all non-government products creates data sharing obligations under GDPR and may be relevant to user transparency and profiling disclosures.

How does this clause affect you?

Under these provisions, behavioral and usage data for non-government Claude products is processed by Sift and Arkose Labs in the United States for fraud and abuse detection purposes. EU and UK users should note that this constitutes a transfer of personal data to U.S.-based processors requiring GDPR-compliant transfer mechanisms.

Is ConductAtlas affiliated with Anthropic?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Anthropic.