Fraud Detection & Transaction Risk
T

ThreatMark

ThreatMark builds a behavioral baseline for each banking customer and watches for departures from it, profiling how a person physically uses a device, keystroke rhythm, navigation habit, touch and pointer movement and session pattern, and combining that with device and threat signals and transaction context into one continuously updated view it calls behavioral intelligence.

Its stated premise is that the fraud that matters has moved off the bank's platform: criminals now manipulate the customer into authorizing the payment, which defeats controls built to detect unauthorized access, and its own research puts social engineering in most fraud at 55 percent of surveyed institutions. It publishes material on authorized push payment, instant payment, investment, romance and purchase scams and peer to peer fraud, alongside account takeover, remote access attacks, session hijacking, SIM swap, financial malware, money mules and new account fraud.

Five components are published: the Behavioral Intelligence Platform; ScamFlag, a generative agent in the banking app that reads a screenshot a customer submits, checks links and account numbers against public sources and an internal database, and returns a scam assessment; Smart Insights for analysts; the Cyber Fraud Fusion Center for phishing and malware disruption; and FraudIntel for cross border scheme detection and intelligence sharing. Behavioral signal is sold as the inherence element for European strong customer authentication, with transaction risk analysis supporting the associated exemptions.

Named customers include Ceska sporitelna, Slovenska sporitelna and Banca Comerciala Romana in the Erste Group, CSOB in the KBC Group, J&T Banka, Creditas, DFCU Financial, Tri Counties Bank and the Cooperativa Policia Nacional, and the company reports more than 40 million users protected. It states ISO 27001 and SOC 2 credentials. Founded in 2015 in Brno, ThreatMark lists its head office in Charlotte, North Carolina, with offices in Brno and London.

Last VerifiedOctober 2, 2026
Compare ThreatMark with other vendors
Founded
2015
Headquarters
Charlotte, North Carolina, United States
Categories
fraud-and-transaction-risk, aml-kyc-financial-crime
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 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

A per person baseline learned from keystrokes, navigation and device handling, updated continuously, flags when someone types and scrolls unlike themselves, which no rule can express. Its ScamFlag agent is generative, reading a screenshot and reasoning about context, and without models only device fingerprinting and threshold rules, the approach it sells against, remain.

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

Scores surface for fraud analysts, Smart Insights supports their decisions and ScamFlag returns recommended actions for the customer to choose, while transaction risk analysis steps up authentication under the bank's own policy. That boundary is inferred from product shape rather than stated, and what a customer can do when a legitimate payment is blocked is not described.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

ScamFlag is put at about 99 percent detection accuracy, conditioned on evidence quality, but no false positive rate is published, though here a false positive is a locked out customer. False positive reduction is marketed without a figure, and validation method and drift disclosure are absent.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Jan Adamovsky of Slovenska sporitelna reports detection 70 percent better than competing products in its test, Teo Filip of Ceska sporitelna cites account takeover damage cut by more than 90 percent, and Tipsport's detection time fell from 16 hours to 20 minutes. QKS Group's 2026 SPARK Matrix names it a leader in behavioral biometrics, and one testimonial claims zero losses.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

FraudIntel shares intelligence across banks to expose mule networks, so one bank's customer signal informs another's defenses, with nothing on what crosses or in what form. Whether behavioral profiles train models for other customers is not stated either.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

Privacy and cookie policies are published, and ScamFlag images are stored securely and deleted automatically after a set period. Neither the legal basis for continuously capturing how a person physically uses a device, likely biometric data under European law, nor the retention of behavioral profiles is addressed.

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

ISO 27001 certification and a SOC 2 attestation are stated in text, with a versioned code of conduct, a whistleblower page and a security contact for vulnerability reports. A trust center and the SOC 2 type, period and scope are not published.

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

Behavioral signal is sold as the inherence element for European strong customer authentication, and a Creditas executive says central bank auditors responded positively. No position is stated on the EU operational resilience regime or the AI Act, and no license is claimed.

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

Flagging departures from how a person holds, taps and types will also flag a hand tremor, failing eyesight or a carer helping an elderly parent, which looks like someone else operating the session. Elderly and disabled customers, the people its scam tools exist to protect, are likely to bear those false positives, and no breakdown by age or impairment is published.

AI Liability and Recourse
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.
Vendor Published

Terms of service, warranty, indemnity and liability cap are all unpublished, and the policies that are published allocate no risk to ThreatMark. When it wrongly decides a customer is not who they claim, that customer is locked out or a legitimate payment is blocked.

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

Trained on scam samples, the ScamFlag agent checks links against public sources and its own database, but no model provider, family or version is named. Customers upload screenshots of private conversations, and whether those images stay in ThreatMark's environment or reach a third party model is not stated.

Core Systems and Integration Depth
CC on Core Systems and Integration DepthIntegration claimed through standards or connectors with no system named and nothing to verify.
Vendor Published

Capture of behavior must sit inside the bank's web and mobile channels and ScamFlag embeds in banking apps, yet no API documentation, SDK reference or sandbox is published. Which digital banking platforms are already supported is not named.

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

Deployment model, hyperscaler, region and residency go unstated, and offices in three countries describe staff locations, not data. FraudIntel's cross border detection implies behavioral data moving between jurisdictions by design.

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

Five components are described separately, but no price, tier, unit or term is published, and entry is a contact form. Charging by protected users would track a bank's book while charging by transactions tracks activity, and which applies is not said.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Universal banks, challenger banks, mutuals and community institutions are named across Europe, the United States and Ecuador, with material for security, fraud and digital channel teams. The base centers on central and eastern Europe, and insurance, wealth and payment institutions get no material.

Alternatives to ThreatMark

Vendors in the same categories as ThreatMark whose profiles look most alike, each with a line on what the product does. Similar is not the same: check that each one does the job you need. No vendor pays for placement.

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Incognia answers the identity question with geography.

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.

Entry Price Pricing Basis Data Protection Terms Implementation Source
Not published. No price, tier, unit or contract term is shown; engagement starts with a contact form.
Quoted per customer. Five components are described separately, the Behavioral Intelligence Platform, ScamFlag, Smart Insights, the Cyber Fraud Fusion Center and FraudIntel, with no indication of whether they are licensed as one platform. ThreatMark states more than 40 million users protected across its customers, a scale figure rather than a price. Not tiered on any published pricing. ThreatMark publishes a privacy policy, a cookie policy, a versioned code of conduct and a whistleblower channel, and states that images submitted to ScamFlag are deleted automatically after a set period. Nothing addresses the legal basis for continuous behavioral collection, retention of behavioral profiles, or what FraudIntel shares across institutions, and no data processing agreement, sub processor list or hosting location is published. It states ISO 27001 and SOC 2 credentials. No implementation, integration, onboarding or professional services fee is published. Behavioral capture requires an embed in the bank's web and mobile channels, and ScamFlag integrates into existing banking apps, so the work sits in the bank's own release cycle. The Cyber Fraud Fusion Center reads as an ongoing managed service, and nothing says whether it is bundled or charged separately. Vendor Published

ThreatMark publishes no price, tier, unit or term as of 2 October 2026, and its entry route is a contact form to sales. Two plausible bases would bill very differently: protected users tracks the size of a bank's retail book whether customers transact or not, while transactions tracks activity, and nothing published says which applies. Nothing indicates whether its five components are licensed together or separately.

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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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