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Fraud and identity consulting

Triage, recommend and build the fraud system.

People
Brendan Tobin and specialists
First call
30 minutes, on video, free
Paid hour
Booked in Zoom Scheduler at short notice
Engagements
By the week or the month, or a custom package

Fraud usually shows up right after a company starts to win. We come in after an attack, when the stack no longer fits, or when you are choosing tools, and we build it with your team. We’re paid by you and by nobody else for this work. If you don’t need us, we say so.

We have over a decade of experience building data and security systems for top Silicon Valley startups including Credit Karma, Figure and Scale AI.

Book a free 30-minute call Or book a paid hour

Call us when

  1. Chargebacks or fake signups just spiked

    The rules can’t keep up and the losses are climbing. We find what’s getting through and fix the gates. Payment networks, practice area

  2. You’re choosing an identity verification vendor

    The shortlist depends on what you sell, who the user is, and what a false positive costs. We start from the systems we’ve run. Identity verification, practice area

  3. The fraud stack you started with no longer fits

    We look at the business as it is now and say what to keep, what to reconfigure and what to replace. Identity verification, practice area

  4. A bank or processor wants your fraud and KYC program in writing

    Before a launch or a new partner, someone asks for the policies and who owns them. We write the program you’ll actually run. KYC compliance, practice area

  5. Deepfakes and device farms are beating your onboarding checks

    We built the identity and risk checks for more than 10 million users at Scale AI. AI fraud, practice area

  6. A customer or investor wants SOC 2 or PCI

    We scope what the certificate takes, and what it doesn’t, before you pay an auditor. Security certifications, practice area

  7. You sell a fraud or identity product

    We have been the buyer. The write-up is how a fraud team evaluates a signal, the price and the output an analyst can act on. Selling a data API to enterprise fraud teams, case study

Practice areas

9 areas, 39 terms

  1. 01 AI fraud

    AI fraud

    • deepfakes
    • device farms
    • auto-typers
    • bot attacks
    • contributor fraud
    • multi-accounting

    Where we’ve done this work: Scale AI

  2. 02 Marketing data

    Marketing data

    • data enrichment
    • cookie tracking
    • retargeting
    • direct mail
  3. 03 Identity verification

    Identity verification

    • IDV
    • employment verification
    • SSN verification
    • TIN verification

    Where we’ve done this work: Scale AI

  4. 04 Payment networks

    Payment networks

    • credit & debit card
    • ACH
    • ATM
    • wire
    • chargebacks
    • Plaid API

    Where we’ve done this work: Purpose Finance, Samsung Pay

  5. 05 Credit bureau data

    Credit bureau data

    • Experian
    • Equifax
    • TransUnion
    • LexisNexis

    Where we’ve done this work: Credit Karma

  6. 06 Digital underwriting

    Digital underwriting

    • alternative data
    • desktop appraisal
    • remote online notary

    Where we’ve done this work: Figure, Credit Karma

  7. 07 KYC compliance

    KYC compliance

    • KYB
    • AML
    • BSA
    • OFAC checks and policies

    Where we’ve done this work: Scale AI, Purpose Finance

  8. 08 Security certifications

    Security certifications

    • SOC 2
    • PCI
    • penetration testing
    • ISO 27001
  9. 09 Digital ID standards

    Digital ID standards

    • AAMVA
    • Aadhaar
    • Serpro
    • UK Digital Residency Permits

    Where we’ve done this work: Scale AI

Book time with Brendan

Start with a free 30-minute call with Brendan, or book a paid hour with Brendan.

Case studies and referrals