Beyond the Credit Check: Building a Layered Defense Against Evolving Fraud Threats

Highlights: 

• Synthetic identity and first-party fraud create annual losses of tens of billions for financial institutions, with first-party fraud responsible for 93% of early payment default losses; generative AI is escalating these sophisticated threats.

• A resilient identity infrastructure requires a synchronized, two-step defense: deploy proactive verification at account opening using selective friction, and continuously monitor your portfolio for latent synthetic accounts.

The modern financial lending market operates in a high-stakes, digital-first environment where transaction speed is a vital competitive edge. And while this digital acceleration has brought immense convenience to commercial and consumer lending ecosystems, it has simultaneously lowered the barriers for increasingly sophisticated bad actors as the need for immediate decisioning may clash with the necessity of thorough risk assessment and identity verification. The rate of technological advancement means that fraudsters are getting smarter, faster and traditional security checks are no longer sufficient to anchor a risk infrastructure against modern identity and document manipulation.

First-party and synthetic identity fraud create an estimated tens of billions in annual losses for financial institutions, significantly disrupting typical expected loss projections.¹

• Synthetic Identity Fraud: Along-game methodology involves bad actors creating entirely new, fictitious identities. Fraudsters stitch together legitimate details, often utilizing unissued or unmonitored Social Security numbers and combine them with fabricated or randomized personal data, building credit history incrementally via small loans and transactions. Synthetic identities mimic real consumers perfectly within credit databases, so they routinely slip right past traditional identity verification systems and standalone red flags. Generative AI technology has vastly accelerated the threat of third-party fraud, making it easy to purchase pre-legitimized fictitious profiles and allowing fraudulent accounts to hide in plain sight until they execute a transaction or multiple activities which can lead to significant losses for institutions. 

• First-Party Fraud: A scheme that is primarily by real individuals looking to artificially inflate their profile and accounts for 93% of the losses related to early payment defaults.² These deceptive acts can include the misrepresentation of crucial details like income or credit standing, ultimately distorting a lender's debt-to-income calculations and undermining traditional risk boundaries. These individuals look like great prospects with prime and super prime scores, when in reality they represent significant risk.

A single, isolated checkpoint is a failing defense against today's sophisticated fraud rings. To defeat multi-layered attacks, you need a synchronized, layered defense system built directly into your decision engine. Here is the proactive strategy required to remain resilient:

1. Deploy Proactive Verification at Account Opening. Stop fraud before it starts by moving identity verification to the top of your application funnel. Use a data-driven waterfall to introduce selective friction, targeted, precise verification checks to help halt bad actors without slowing down legitimate users.

2. Continuously Monitor Your Portfolio for Sleeper Accounts. Risk management can't end at approval. Implement routine, structural portfolio scrubs to uncover latent synthetic identities. Flagging these "sleeper" risks helps immediately stop wasteful marketing and collection efforts on uncollectible accounts, freeing up your risk team for more critical work.

Unmasking sophisticated threats requires total data coverage. By matching comprehensive customer risk tolerance with tailored technology, lenders can confidently grow their portfolios without opening the door to significant losses.

Source: 

1. Federal Reserve Bank of Boston, Gen AI is ramping up the threat of synthetic identity fraud

2. Equifax Internal Analysis, Whitepaper: A Layered Defense Against First-Party Fraud