Request demo

Financial Services

In Financial Services, Exposure Turns Into Fraud.

For banks, payment firms and capital markets firms, the surface is both the infrastructure you run and everything that borrows your name to reach your customers, from lookalike domains and leaked logins to card numbers for sale.

The Deepinfo Platform watches both from one index and scans your vendors as closely as it scans you.

Request demo

Exposures That Start Outside Your Network.

Each one begins somewhere your logs can’t see, and each ends as a cost on your side.

Impersonation

Lookalike Domains

Phishing aimed at your customers needs a convincing address. Lookalikes with typos, added words or letters from other alphabets get a certificate and a copied login page.

Account takeover

Leaked Customer Logins

Infostealers copy every login saved in a customer’s browser, including the one for your online banking. A takeover with a valid password looks like a normal sign-in.

Card fraud

Cards in Circulation

Cards issued on your BINs turn up on markets and in leaks, some with the CVV attached. Card-not-present fraud follows.

Third parties

Vendors Holding Your Data

Payment processors, core banking providers and fintech partners hold your data and your customers’ trust. Their posture changes between annual reviews.

Catch the Lookalike Before the Campaign.

Brand Risk Protection matches newly seen domains against your brand, down to characters borrowed from other alphabets. Each suspicious domain stays under watch across DNS, mail, certificate and HTTP. Below, one name and what each match type catches.

  1. bank.example

    Your keyword

    Each rule pairs it with one match type

  2. bank.test

    Same name · exact

    The name itself, on another TLD

  3. bank-login.example

    Name inside · contains

    The name inside a longer label

  4. banl.example

    Typo · fuzzy

    One edit away: a dropped, doubled, swapped or mistyped letter

  5. bakn-verify.example

    Typo inside · fuzzy_contains

    A typo inside a longer label

  6. bаnk.example

    resolves as xn--bnk-6cd.example

    Lookalike letters · confusable_exact

    Letters swapped for ones that look identical

  7. bаnk-login.example

    resolves as xn--bnk-login-0yh.example

    Lookalike letters inside · confusable_contains

    Lookalike letters inside a longer label

  8. bаkn.example

    resolves as xn--bkn-6cd.example

    Lookalike and typo · confusable_fuzzy

    A typo and a lookalike letter together

  9. secure-bаkn.example

    resolves as xn--secure-bkn-6qi.example

    Lookalike and typo inside · confusable_fuzzy_contains

    Both, inside a longer label

Managed Takedown

Read Leaked Customer Data Record by Record.

Cyber Threat Intelligence finds the logins, cards and addresses of your customers and staff in breach data, infostealer logs and card listings. Each record moves through tracked states until your team closes it.

Customers · Fraud team

Compromised Client Credential Monitoring

A customer’s login to your service, found in an infostealer log and tied to the URL it opens.

Capability

Cards · Card fraud team

Compromised Payment Credential Monitoring

Card number with BIN, issuer, brand, expiry and CVV presence, where it was listed and how often it was seen.

Capability

Staff · Security operations

Employee Email Breach Monitoring

Corporate addresses found in known breaches, with the data types each breach exposed.

Capability

Executives · Protective team

Executive Threat Monitoring

Breached accounts and leaked credentials of the executives you flag.

Capability

4821

Card record

masked · last four only

Leaked card

  1. BIN · issuer
    one of your BINs · issued by bank.example
  2. Checks
    Luhn valid Expiry not expired CVV present Usable

    Usableevery check passed

  3. Source
    leak on a market · source network

    Where it was listedsource network

  4. Sightings
    first seen last seen seen 3 times

    First and last seen, and how many times

New cardnewly_detected

PCI DSS Is Mapped. SOX Is Context.

The platform classifies issues as they are raised, so a question about a framework becomes a filter on current data.

PCI DSS 4.0Mapped (pci_4_0). Filter open issues on in-scope assets, yours and your processors’.
PCI DSS 3.2Mapped (pci_3_2). Findings still reported against the earlier version.
OWASP Top 10 (2021), CWEMapped. Online banking and payment applications, and the weakness behind each finding.
SOX, supervisors’ third-party expectationsContext only. Not platform classifications: issue history, states and scheduled reports serve as supporting evidence.

The mapped frameworks are OWASP Top 10 2021, PCI DSS 4.0, PCI DSS 3.2, HIPAA, CWE, CAPEC and WASC.

From the Fraud Queue to Vendor Review.

Fraud Prevention

Lookalike domains, leaked customer logins and leaked cards, worked as one fraud queue.

Use case

Phishing Detection and Prevention

Lookalikes caught when they first appear and watched until they go live or go away.

Use case

Credential Exposure Management

Employee and customer credentials found in leaked data, each worked to a recorded state.

Use case

Managed Takedown Services

Removal requests filed with registrars and hosts, followed up until there is an answer.

Use case

Third-Party Risk Management

Each processor and partner scanned and scored the way your surface is.

Use case

Compliance and Audit Readiness

Findings classified against PCI DSS 4.0 and the other mapped frameworks as they are raised.

Use case

Executive Threat Protection

Leadership accounts and leaked credentials followed as their own list.

Use case

Security Risk Scoring

One scale for your surface, each subsidiary and each vendor.

Use case

From One Bank’s Program to Yours.

Customer story A major Türkiye-based bank From about 25 monitored vendors to 100+, with continuous monitoring in place of annual questionnaires. Read Module Third-Party Risk Management Vendors on the engine that watches your surface. Read Industry Retail and e-commerce The merchant side of the same card and account fraud. Read

The Data Is Yours to Use Too

The index under the platform is also sold as data. Teams that build their own tooling query it through the API or take it as bulk feeds, and Internet Insights shows what it sees each day.

Questions About Deepinfo in Financial Services

Does the platform map findings to PCI DSS?

Yes. PCI DSS 4.0 and PCI DSS 3.2 are among the frameworks every issue is classified against, alongside OWASP Top 10 2021, HIPAA, CWE, CAPEC and WASC. The filter works across your assets and your vendor portfolios.

Where does leaked customer data come from?

Logins come from breach data and infostealer logs, the files malware collects from infected devices. Cards come from the markets and leaks where they are listed. Each record keeps where it was found.

How do leaked card and login records reach our fraud systems?

Through the Cyber Threat Intelligence API. Search returns matching records as JSON, export returns all of them as CSV or JSON without paging, and the filter that selects them also drives bulk state changes.

Can Deepinfo take down a site that imitates our bank?

Confirmed lookalike domains go to Managed Takedown. Deepinfo’s team files the removal request with the registrar or hosting provider, attaches the evidence and follows it up. The registrar or host makes the final decision, and monitoring shows whether the domain still answers.

How are payment processors and fintech partners covered?

Each third party becomes a portfolio in Third-Party Risk Management. The platform discovers its internet-facing assets, scans them the way it scans you, and puts them on your scale.

Can we assess a partner before signing?

Yes. Add the prospective partner as a portfolio from its primary domain. It is discovered, scanned and scored before the contract, on the scale your current vendors use.

See What’s Using Your Name.

Book a demo scoped to your brands, login domains and key vendors.

Request demo