Client Overview
The platform was experiencing a serious security challenge since it was an expanding marketplace with several sellers. Since people were using fake accounts or abusing the payment system, the company’s brands suffered financially and lost their good reputation in the market.
The client turned to eInnosys to develop a cybersecurity system that would be easy for the company to expand and protect transactions with little disruption to users. The enhanced safety of the platform and enhanced customer trust were the results of our AI-assisted fraud and cybersecurity activities.
About the Company
Challenges
Surge in Fraudulent Transactions
The system was experiencing significant problems from fake profiles, the theft of credit card information and fraudulent refund requests that destroyed relationships with vendors and cost a lot of money.
Account Takeovers
By stealing login information from earlier hacks, hackers managed to place fraudulent purchases on real user accounts.
Vulnerable Payment Gateways
Since there was not enough security protection at checkout, attackers were able to pass through basic controls and commit fraud and unapproved transactions.
High False Positive Rates
Because the previous methods wrongly suspected genuine users, customers were putting their purchases on hold or cancelling them, which led to them becoming frustrated.
Our Cybersecurity Solutions
AI-Based Fraud Detection Engine
We used machine learning to identify and prevent risky actions by looking at old transactions, unique device features, locations, and IP reputation. It keeps improving as new security threats emerge.
Behavioral Biometrics
We used behavioural features like typing patterns, movement of the cursor and session time to identify and separate real people from bots or bad actors. Such signs made it nearly impossible for anybody else to mimic the sender.
Secure Checkout Integration
To ensure payment data is secure, we used multi-factor authentication and also introduced tokenized methods for making payments. As a result, making purchases online became safer without changing the user’s experience.
Real-Time Alerts & Response Dashboard
Our admin system displayed live fraud alerts, detailed guidance on handling cases and heatmaps highlighting unusual activity, giving the client full visibility over the platform and information on risks.
Tech Stack
AI & ML Tools : Scikit-learn, XGBoost, Keras
Payment Security : Stripe Radar, Razorpay Secure, PCI DSS Compliance
User Behavior Monitoring : Sift, Arkose Labs
Backend : Node.js, MongoDB, AWS Lambda
Dashboards & Monitoring : Grafana, Kibana
Business Impact
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