Fraud Detection & Transaction Risk
T

TrustDecision

TrustDecision, headquartered in Singapore with offices in Malaysia, Indonesia, the Philippines, the United Arab Emirates, Saudi Arabia, Mexico and Hong Kong, sells fraud, credit and identity risk technology to banks, consumer lenders, payment companies and digital businesses. Its products include device intelligence, a global risk persona built from IP, email and phone signals, credit scoring and credit data insights, the ARGUS fraud management platform, the PISTIS credit management platform and the ARCHER risk decisioning system, returning scores, labels and decisions within 20 milliseconds through public APIs and SDKs for Android, iOS, web and other platforms. The company reports more than 1,000 clients and an estimated $10 billion in losses avoided for businesses each year, and its privacy policy states that end user data is never shared between clients.

Last VerifiedOctober 2, 2026
Compare TrustDecision with other vendors
Founded
2018
Headquarters
Singapore
Categories
fraud-and-transaction-risk, credit-decisioning, aml-kyc-financial-crime
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 8 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

Scoring and fraud detection run on models, while device identification, risk personas built from IP, email and phone signals, and the rules a risk team configures would keep working without them. Those models power a core capability inside a product that could still run on rules and device intelligence alone.

Autonomy and Oversight Model
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a person checks it are all published: modes, thresholds, sampling or audit controls, and the route a case takes to human review.
Vendor Published

ARGUS sets out how a decision runs: a no code rule engine with first match, worst match and weight based execution modes, and full audit logs on every decision. On the retail banking page, cases with a medium risk score go to manual review in case management at a threshold the bank sets.

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

Risk teams can run real time simulation and batch tests on live data, version a strategy and roll it back, and each action carries an explainable reason tied to audit readiness. Speed is the only performance figure, 20 milliseconds a decision, with no accuracy, false positive rate or validation result and no link to a supervisory model risk standard.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

Headline figures are more than 1,000 clients, 120 billion risk events intercepted and about $10 billion a year in losses avoided. Every case study is anonymized, and the one carrying a figure, more than 60 million flash sale abuse attempts blocked, belongs to a collectible toy brand.

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

A categorical line in the privacy policy says end user data is never shared between clients, which closes off the obvious form of cross client exposure in a device and behavioral risk network. The same policy lists accuracy improvement as a purpose, without saying whether one client's fraud outcomes train models or risk labels served to another.

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

Coverage extends to end users: the privacy policy, effective September 23, 2025, reaches the browser, device and behavioral data that flows through the SDKs on client sites, and covers transfers under standard contractual clauses and binding corporate rules. Retention runs only as long as necessary, and the processors behind the service are not named.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

Two certification logos sit in the footer, but neither is named in text, and no trust center or report is published. Encryption and anonymization get a mention in the privacy policy, which is as far as the security detail goes.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Data protection laws are the only rules named, Singapore's PDPA, the GDPR and Brazil's LGPD among them, and they cover the firm's own processing. Although eKYC and AML are listed among its functions, the platform itself is given no regulatory position, and neither a financial supervisor nor a fraud, AML or credit rule is cited.

AI Governance and Bias Disclosure
DD on AI Governance and Bias DisclosureNothing published on a product where the bias risk is concrete, such as credit decisioning or underwriting with no fair lending, disparate impact or adverse action disclosure.
Vendor Published

Alternative credit scores for thin file and new to credit applicants draw on device and behavioral signals that can stand in for income or social group. Its inclusion case, small initial limits instead of refusal, comes with no published fair lending testing, subgroup results or adverse action guidance.

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

Correction runs through a Singapore data protection officer, who answers end users within 15 days, but that covers personal data rather than decisions. An applicant declined on an alternative score, or tied to a fraud ring through a shared device, gets no published reason or appeal, and no guarantee or indemnity stands behind the output.

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

Huawei Cloud and AWS are named as infrastructure partners, while the identity verification providers, hosting providers and affiliates in the privacy policy are referred to only by role. Model and data providers are not identified, and since the policy lets data move among affiliates, those names matter to a bank.

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

Developers get an open API reference covering device fingerprinting, identity verification and fraud management, with SDKs for Android, iOS and the web and an MCP endpoint for AI agents. Integrations with core banking, origination or case management systems are not listed.

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

Delivery is described only as cloud native, with no region list, residency commitment or private deployment published. That leaves banks in Singapore, Indonesia or Mexico without a stated home for their data.

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

Engagement starts with a contact request, and the site carries no plan, price or basis of charge. Charges could follow API calls, decisions or a platform license, and which one applies is never said.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Vendor Published

Retail banking, consumer lending and digital payments each get an industry page, and the retail banking page carries its own FAQ and bank services. Solutions run from account protection and application fraud through identity verification to credit risk management, while the client base reaches well into ecommerce, gaming and travel.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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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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