High speed fraud prevention for all payment rails
Reducing fraud losses and protecting the integrity of every transaction for payment card networks
Fraud is surging across card networks
The growth of e-commerce, instant payments and cross-border transactions is driving a rise in AI-driven fraud and cyber-attacks – expanding the attack surface while shrinking the time to respond. The result is lower transaction approval rates, higher fraud management costs, eroded customer trust and rising losses for card networks, acquirers and merchants.
Prevent fraud without slowing payments
INETCO’s AI-powered fraud defense platform enables card networks to analyze in-flight transactions and stop fraud and cyber threats before they complete. Adaptive machine learning, fueled by real-time transaction intelligence, analyzes individual user, card, device and terminal behavior to instantly detect and block suspicious behavior linked to card-not-present fraud, credential stuffing attacks, man-in-the-middle malware, transaction manipulation and account takeovers – without slowing legitimate transactions.
Wins that card networks rely on
- 90%
- Less time to diagnose failures
- 45%
- Reduction in false positives
- <20ms
- To block confirmed fraudulent transactions
Unifying fraud protection for payment card networks, merchants and acquiring banks
Stay ahead of payment fraud and cyber threats
Monitor the end-to-end payments journey to detect and block account takeovers, BIN attacks, DDoS attacks, malware, transaction reversals and card-not-present fraud in real-time
Boost merchant acquiring confidence with AI
Self-learning user and entity behavioral models provide the speed and accuracy needed to spot new threat patterns and stop fraudulent transactions in their tracks – boosting security and trust
Maximize your bottom line
Precision block fraud and cyber threats at the transaction level to minimize false positives and maximize legitimate transactions while reducing investigation times and risk of fraud loss
Defend every tap, click and transfer
As fraud and cyber threats continue ramping up, card networks need real-time transaction monitoring and fraud prevention to remain competitive, meet service level expectations and keep customers happy. INETCO delivers world-class use cases – from card-not-present fraud and account takeovers to transaction message adulteration, BIN attacks, and man-in-the-middle malware attacks – helping card networks stop threats in flight while keeping payments fast and reliable.
“Now rather than five people getting a phone call at 3AM to let them know something isn’t working, when I arrive in the morning one of my operators is able to tell me that there was a problem and that they were able to take care of it on their own. Through the improved service delivery, faster problem isolation and reductions in failed revenue-generating transactions, we achieved a full return on our INETCO investment within four months.”
Resources
Tales from the fraud frontlines: How to avoid getting bitten by Visa VAMP
Discover how INETCO BullzAI helps acquirers and merchants avoid VAMP clampdowns
INETCO’s Ugan Naidoo on how it's changing the game in real-time fraud detection
INETCO co-founder and CTO discusses how AI-driven analytics and real-time data are reshaping how banks fight fraud and build customer trust
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
Elo, Agility and INETCO announce strategic partnership to revolutionize payments reliability in Brazil
The partnership leverages INETCO’s innovative real-time transaction monitoring solutions and Agility’s extensive experience and expertise in supporting major clients in sectors
Tales from the fraud frontlines: The growing threat of DDoS attacks — and how to prevent them
DDoS attacks are no longer isolated events targeting a handful of businesses. They have become a preferred weapon for cybercriminals looking to extort companies, damage reputations, distract cybersecurity teams from other attacks, or simply create chaos








