AML, KYC & Financial Crime
C

CipherOwl

CipherOwl builds onchain compliance infrastructure for exchanges, wallets and custodians, banks, payment providers, stablecoin issuers and public sector agencies working with digital assets. Its founders, Leo Liang and Ming Jiang, previously led Coinbase's data platform and compliance product. The SR3 stack covers screening, risk assessment, reporting and investigation across major blockchains, with the Strix agent for investigator grade analysis and a documented API returning risk reasons and report content.

The stated design principle is that every action and finding must be explainable, reproducible and defensible to a regulator, with agents grounded in ledger data. The company emerged from stealth in October 2025.

Last VerifiedOctober 2, 2026
Compare CipherOwl with other vendors
Founded
2024
Headquarters
San Francisco, California, United States
Website
cipherowl.com
Categories
aml-kyc-financial-crime, fraud-and-transaction-risk, compliance-and-surveillance
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 8 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Blockchain ledgers are free to download, so the product is entirely the interpretation: models monitor transactions, assess risk and produce investigation output. Without them, customers would hold only public data they could already obtain.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Sign off belongs to the customer's team rather than to alert queues, and the orchestration layer is described as regulator ready. Review gates, escalation thresholds and any path for a finding to reach a suspicious activity report without a person are undocumented.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Findings are grounded in ledger data, and because the chain is a public record outside the vendor's control, any claim about a transaction can be checked independently. The inferential layer is unmeasured, with no accuracy or false positive rate for risk scoring or attribution and no validation package.

Operational and Outcome Evidence
CC on Operational and Outcome EvidenceUnnamed case studies, customer logos, or claims without numbers. Prestige is not measurement: the caliber of the client list describes the buyer rather than the product, and coverage statistics are not adoption statistics.
Vendor Published

Logos such as HashKey, Coinbase and OKX appear on the homepage with no stated relationship or result. Coverage of 99 percent of market total value locked, the one figure, measures reach rather than adoption or outcome.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

AI conversation data is deidentified before any training use, raw interaction data is held up to 30 days first, and customers can opt out of training. Segregation between institutions investigating the same address is not addressed, though that interest is itself confidential.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

The privacy policy, updated March 4, 2026, covers the Services as well as the website, sets retention for API logs and threat analysis data and accepts deletion requests. How attributions linking addresses to people are formed, kept and corrected is not described, and beyond Google Analytics and Microsoft Clarity no provider is named.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

A completed SOC 2 Type II examination covering security, availability and confidentiality is available through a Vanta portal, with AES 256 at rest and TLS 1.3 in transit. ISO 27001 is listed as in progress, even though the homepage badge row shows it.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Travel Rule compliance, sanctions screening and suspicious activity report generation are mapped onto the product, with a reporting endpoint in the API. Report content is generated, but no filing mechanism is named and no supervisory register entry is shown.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Attribution error taints an address and everyone who has transacted with it, and on a public ledger that link stays visible to every analytics provider. Proximity scoring can pass risk to someone several hops from a flagged source, hitting users who rely on digital assets for banking access, and CipherOwl publishes no attribution error rate or fairness review.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Risk reasons, breakdowns and flow graphs come with every assessment, and findings are reproducible, so an institution can defend a frozen account to an examiner. An address holder flagged through proximity has no described way to learn which system decided or to contest the attribution, and CipherOwl publishes no accuracy commitment.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

Public blockchains are the main input and anyone can verify them. Attribution datasets linking addresses to exchanges and sanctioned parties are what scoring depends on, and CipherOwl names no attribution source or model provider.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Developer documentation covers screening, risk scoring, reporting and case management endpoints, with OAuth client credentials and client code in Python, Go and Java, plus a public status page. Customer side case management, core banking and exchange systems are not named as integration targets.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Cloud providers holding SOC 2, SOC 3 and ISO 27001 certifications run the service across multiple regions with a 99.9 percent uptime commitment, yet neither providers nor regions are named. Investigators at institutions and agencies will want to know where case material rests, and no residency commitment is published.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Screening, investigation through the Strix agent and reporting are sold as components, yet no pricing, packaging or basis of charge is published. Whether charges fall per address screened, per transaction monitored or as a platform fee is open.

Institution and Segment Coverage
CC on Institution and Segment CoverageSegments claimed broadly, banks, fintechs, credit unions, without evidence any of them has its own maintained surface.
Vendor Published

Six segments are named, from exchanges and custody to public sector agencies, but bank and government use is claimed without a named institution or dedicated material. Its function stays within digital asset compliance rather than the wider financial crime estate.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at CipherOwl, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Sep 25, 2026Product / capability

CipherOwl's SR3 CLI release 2026.4.0 regroups commands under screen, reason, research, report, case, auth, config and agent, and new agent commands describe each action's typed inputs, outputs, effects and retry rules so an AI agent can call them safely. Batch screening results now keep probability, confidence, evidence, behavior decisions and model metadata when the service supplies them, and partial or failed outcomes are reported explicitly with a nonzero exit status.

Bears on: Model Risk Management and TransparencySource
Our read on this update →Tracked since Sep 2026

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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