CREDIT UNIONS
Smarter security for stronger member relationships
Empowering credit unions with transaction security to protect every payment, every member, every day
Credit unions face a sharp rise in payment fraud
The combination of limited fraud prevention resources, perceived gaps in fraud controls and the explosive growth of real-time and digital payments channels is creating urgent pressure. Forward-thinking credit unions are responding by gaining deeper insights into member behavior and stepping up fraud defense to the next level.
Fill fraud defence gaps with real-time action
INETCO’s trusted AI-driven solutions are purpose-built to help credit unions monitor, detect and stop emerging payment fraud threats in real-time. Deliver top-notch payment security and an exceptional member experience at a cost that scales with your business.
Fraud-fighting collaboration that keeps credit unions ahead of the curve
- 40%
- Shorter case investigation time
- 25%
- Reduction in fraud losses (within first 6 months)
- 30%
- Increase in fraud detection accuracy
Achieve fraud resilience without the operational overhead
Reduce fraud losses and operational costs
Protect members from credit card fraud, account takeovers and identity theft with instant detection of payment fraud and cyber-attacks – at a low cost of ownership and time to market
Protect member experience and trust
Rely on real-time transaction intelligence, self-learning machine learning models and explainable AI to instantly flag risky behavior activity with minimal false positives – no data scientists required
Grow your business through actionable analytics
Cultivate comprehensive payment transaction data across all channels and payment types to perform analytics that will improve card usage, channel profitability and the member experience
Stop transaction fraud, money laundering & cyber-attacks in its tracks
From first party abuse to increasingly sophisticated scams, INETCO’s transaction monitoring and fraud detection solutions provide credit unions with the intelligence they need to take unbiased, real-time action. These everyday use cases close fraud defense gaps, reduce losses and protect members and their trust – while keeping payments fast, reliable and aligned with regulatory requirements.
- 79%
- Net Promoter Score achieved
- 9.28
- ATM satisfaction score
- 80%
- Cash utilization at each ATM
“Understanding the member experience is of paramount importance to BECU. INETCO’s real-time transaction monitoring and analytics solution effectively shrinks our member transaction intelligence gathering and analysis time from weeks down to minutes — which allows us to make decisions based on timely and comprehensive cardholder analytics.”
- $100K
- Savings in resources per year with INETCO
- 193K
- Members
- 66+
- Locations
“Our core business is financial services, not technology. But we needed to help alleviate some of the risks by taking a hands-on approach. Managing an online, 24/7 banking application has huge implications on our customers and partners. Therefore, we need to leverage tools that are proven within this industry to make our transition easier. We require constant assurance that we are up and running, and alerted to issues when they arise so we can resolve them quickly before any impact is felt.”
“We chose INETCO Insight because when it comes to debit card security, reliability and reputation count. We trust the stability of this real-time, transaction-level monitoring solution, and know from first-hand experience that INETCO’s responsiveness will serve us well should an issue ever arise.”
Resources
SOLUTION SHEETS
INETCO BullzAI for payment fraud prevention
ARTICLE
Tales from the fraud frontlines: How to detect and defend against man-in-the-middle attacks
The main objective is to surreptitiously collect sensitive data — usernames, passwords, banking details and so on — that criminals can use to impersonate victims and solicit funds or additional information to be used for social engineering attacks, identity theft, and fraud
ARTICLE
Tales from the fraud frontlines: Inside the rise of BIN attacks — and how to prevent them
In these types of increasingly common fraud attacks, criminals, often aided by artificial intelligence (AI), attempt to generate legitimate credit card numbers by starting with a known Bank Identification Number (BIN)