Directory of AI scam and authorised push payment fraud vendors
The AI FinTech Index holds 5 of them, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record.
No vendor pays for inclusion, placement or rating. Counts generated 2026-08-24 across 490 indexed vendors. What moved is in the change log.
The customer authorised the payment, so detection has to infer coercion or deception from context rather than from anomaly alone. Ask what the system does when it believes a customer is being scammed but the customer insists, because that is a conduct decision as much as a risk one.
What is in this directory. Screened to vendors addressing scams where the victim initiates the payment. Unauthorised fraud detection is held in the payment fraud directory.
Part of the wider Fraud Detection & Transaction Risk category.
What the public record shows in this directory
The share of the 5 indexed vendors here whose public record answers each of the nine regulatory questions a financial institution diligence process works through, and where this directory ranks against the other 50 directories in the index on the same question, highest share first. A thin share means the public record is thin, not that a control is absent.
The AI FinTech Index lists 5 AI scam and authorised push payment fraud vendors, graded on 15 capability axes from public sources with no paid placement and no aggregate score. Across this directory the best documented part of the public record is how much the system decides on its own at 80 percent, and the thinnest is deployment model and data residency at 0 percent, which is 39 highest of 50 directories in the index on that question. Across the whole index of 490 vendors, none documents all nine regulatory axes in public and the average documents 2.94.
Source: AI FinTech Index, August 2026
| Vendor | Category | AI Centrality | Website |
|---|---|---|---|
|
C
Charm Security
Charm Security sells scam and social engineering defence to banks, fintechs, payment providers and credit unions. Rather than scoring transactions or devices, the platform assesses what the company calls human vulnerability exposure, analysing customer risk patterns using psychological insight to identify who is susceptible to manipulation, then deploys agents that intervene in real time while a scam is unfolding across digital, voice and in person channels. It was created inside Team8's venture creation fund and its stated regulatory driver is the shift of authorised push payment fraud liability onto banks.
|
Fraud Detection & Transaction Risk | A | charmsecurity.com |
|
C
Cybera
Cybera sells banks, crypto platforms and cyber insurers two products aimed at authorised payment scams. Mule Intelligence feeds verified accounts and wallet addresses used by scammers into an institution's existing fraud and compliance systems so outgoing payments can be blocked in real time and mule accounts inside its own customer base surfaced, with the intelligence gathered from active defence operations, victim reports and law enforcement collaboration rather than inferred from behaviour, which the company calls non probabilistic. Scam Response handles the aftermath: a victim reports online and within minutes the case is dispatched to law enforcement, beneficiary banks and exchanges, with a dedicated team managing victim communications on the institution's behalf. The company claims recovery chances improve up to tenfold.
|
Fraud Detection & Transaction Risk | B | cybera.io |
|
E
Early Warning Services
Early Warning Services is a bank owned financial infrastructure company based in Scottsdale, Arizona, wholly owned by seven of the largest United States banks and operating for more than three decades under the name Primary Payment Systems before rebranding. It runs three brands: the Zelle payments network, the Paze digital wallet, and Certos, the unified portfolio of identity, account and payment risk products launched in April 2026 that carries the inference line and is the basis on which this record is graded. Certos sells to roughly 2,500 banks and credit unions and to about 5,000 total participants spanning financial services companies, payment processing companies, merchants, government entities and identity theft protection service providers. The products are Verify Identity, which scores in real time the likelihood that an applicant is who they claim to be; Predict New Account Risk, which draws on contributed deposit account activity to surface early indicators of account misuse and first party fraud; Deposit Chek, which evaluates deposit risk for funds availability decisions using embedded machine learning models that assess the likelihood of check and automated clearing house returns within thirty days; Payment Chek, which screens payments and disbursements with real time proprietary risk scoring before funds are released; Verify Account, which confirms account ownership and status for funding, transfers and disbursements; Expand Credit Insights, which adds deposit account context to lending decisions for applicants with no traditional credit history; and Asset Search and Verification, which supports government eligibility determinations. All of it runs over the National Shared Database, a consortium resource contributed to by participating institutions under a give to get model, for which the company holds the role it calls Trusted Custodian. In 2025 the portfolio screened more than 11.4 trillion dollars in payment and deposit transactions, supported 124 million new account applications and reports preventing more than 3 billion dollars in potential fraud loss. Early Warning is separately a nationwide specialty consumer reporting agency under the Fair Credit Reporting Act, listed on the federal consumer bureau register of consumer reporting companies, which is the source of its unusual privacy, regulatory and recourse posture. In May 2026 it partnered with an indexed identity decisioning platform to distribute the Certos suite into community banks and credit unions.
|
Fraud Detection & Transaction Risk | C | earlywarning.com |
|
F
FiVerity
FiVerity runs an anti-fraud collaboration platform letting banks, credit unions, payment institutions and online lenders share fraud intelligence with each other, with regulators and with law enforcement, on the premise the Federal Reserve itself has stated: no single organisation can stop synthetic identity fraud alone. Its distinguishing design is how the sharing works. Institutions exchange pattern matches rather than consumer personal information, protected by double blind encryption, so fraud intelligence moves without customer identities moving with it. The platform aggregates alerts across the network, enables joint investigations under the statutory information sharing safe harbour, pre-fills suspicious activity reports, and surfaces repeat offenders operating across multiple institutions. It deploys without integration work, and claims to catch more than half the fraud conventional rules based systems miss.
|
Fraud Detection & Transaction Risk | A | fiverity.com |
|
H
Heka
Heka assembles intelligence about individual consumers from outside an institution's own records, drawing on live open web data, digital footprint analysis, darknet sources and non reporting collections data across thousands of global sources, and structuring it into profiles that surface alias use, reputational exposure and behavioural anomalies. Banks, insurers, payment processors and pension schemes use those signals for fraud detection, credit and insurance underwriting, onboarding and consumer tracing, delivered through a single interface or in batch and returned inside 300 milliseconds for transaction decisions. The company describes its approach as drawn from intelligence community tradecraft and positions explainability and auditability as central, on the argument that credit bureau files and velocity models miss what is happening online.
|
Fraud Detection & Transaction Risk | A | hekaglobal.com |
Common questions
Is there a directory of AI scam and authorised push payment fraud vendors?
Yes. The AI FinTech Index lists 5 AI scam and authorised push payment fraud vendors, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record. No vendor pays for inclusion, placement or rating, no vendor is contacted before it is listed, and nothing sits behind a form. Counts generated 2026-08-24.
What counts as scam and authorised push payment defence in this directory?
Screened to vendors addressing scams where the victim initiates the payment. Unauthorised fraud detection is held in the payment fraud directory. The index holds 5 vendors meeting that screen, drawn from a wider Fraud Detection & Transaction Risk category and from adjacent categories where the vendor belongs on the same shortlist. A vendor filed under a different category can still appear here, because a buyer building this shortlist does not sort by our filing.
What should a buyer check before shortlisting scam and authorised push payment defence vendors?
Start with what this segment does not publish. Across the 5 indexed vendors, the thinnest parts of the public record are deployment model and data residency at 0 percent, security certification depth at 0 percent, and AI governance and bias testing at 20 percent. A thin public record predicts the length of a diligence process rather than the absence of a control, so these are the questions to put in writing early. The customer authorised the payment, so detection has to infer coercion or deception from context rather than from anomaly alone. Ask what the system does when it believes a customer is being scammed but the customer insists, because that is a conduct decision as much as a risk one.
Other directories in Fraud Detection & Transaction Risk
One category is several buying decisions sharing a label. Each of these narrows the same market to a different one.