From Detection to Prevention: The Sensfrx Approach to Online Fraud

With online fraud evolving faster than ever, Sensfrx was launched to bring intelligent, real-time protection to businesses navigating digital threats. In this interview, Founder Jinendra Khobare shares with Website Planet how Sensfrx is reshaping fraud prevention with adaptive technology designed for speed, accuracy, and transparency.

How and when was Sensfrx founded, and with what idea in mind?

Sensfrx was founded with a mission to rethink fraud prevention, not just detection. The idea emerged from over 14 years of experience I had in IT and product development, witnessing firsthand how fraudsters grew increasingly sophisticated as more businesses moved online, especially in emerging markets. Fake registrations, account takeovers, and bot-driven attacks became daily threats to digital platforms. But existing fraud prevention tools were often too rigid, complex, or slow to keep up.

That’s where Sensfrx stepped in.

We launched Sensfrx to empower businesses with real-time, intelligent, and adaptive fraud prevention. Our goal wasn’t to build just another rule-based detection tool, but to create a cognitive engine that learns from user behavior, detects anomalies across device fingerprints and interactions, and delivers risk-based decisions within milliseconds. Sensfrx is built on three core principles: Speed, Accuracy, and Transparency.

What can you tell us about your online transaction fraud prevention and fake registration fraud prevention services?

Sensfrx currently addresses four major fraud types: Account Takeover (ATO) Fraud, New Account Fraud, Transaction Fraud, and Bot Fraud. Among these, fake registrations and fraudulent transactions are two of the most frequent and costly challenges.

New Account Fraud Prevention:

Fraudsters often exploit stolen credentials, disposable emails, or bot networks to create fake accounts en masse. Our JavaScript SDK collects rich user environment data — such as device configurations, browser behavior, and mouse movements — and sends it to our cognitive engine, which builds unique session, device, and browser IDs. Combined with behavioral profiling, we detect suspicious patterns like rapid form fills, data mismatches, or IP/device inconsistencies — effectively stopping fake signups before they happen.

Transaction Fraud Prevention:

At the transaction stage, the stakes are even higher. Our system evaluates hundreds of signals in real time — geolocation, device fingerprint history, behavioral anomalies, prior fraud associations, and more. This analysis produces a real-time risk score from 0 to 100. Based on customer-configured policies, transactions are approved, reviewed, or denied — all within 100 milliseconds.

For example, if a returning customer suddenly transacts from a new country, on a rooted device, exhibiting erratic behavior, our system flags it instantly. Businesses can then challenge, verify, or block the transaction automatically.

What other services do you offer?

Sensfrx focuses on four core fraud prevention solutions:

• Account Takeover (ATO) Protection
• New Account Fraud Detection
• Transaction Fraud Detection
• Bot Fraud Protection

Beyond the product, we offer a “Done-For-You” Integration Service—where our team handles full Sensfrx setup and integration for web or mobile applications. This is perfect for teams without in-house developers or those who want to accelerate deployment.

Additionally, if you require deeper security services such as penetration testing, red teaming, or source code analysis, our parent company’s cybersecurity division provides these. We’re happy to make introductions if needed.

What is the technology stack behind Sensfrx?

Sensfrx is built on a modern, scalable, and secure architecture optimized for real-time fraud detection with sub-100ms decision latency. Key components include:

• Decision APIs: Node.js microservices power our real-time fraud decision engine and high-speed device fingerprinting.
• Event Streaming: Apache Kafka handles ingestion and distribution of user activity and enriched data between services, cognitive engine, and storage.
• Data Layer: We use a mix of ACID-compliant transactional databases, analytical stores, a data lake for large-scale history, and a Graph Database for User & Entity Behavior Analytics (UEBA) to model complex relationships.
• Risk Engine & AI Models: Our risk scoring engine combines custom logic with Python-based ML models for anomaly detection and behavioral analysis.
• Device Intelligence: A proprietary fingerprinting engine uses multiple entropy signals to accurately detect spoofed or emulated environments.
• Infrastructure: Hosted on Microsoft Azure with containerized, auto-scaling services ensuring high availability and fault tolerance.
• Edge Performance & Caching: Cloudflare provides CDN, security, and edge optimization; Redis supports high-speed, in-memory caching of session risk states.
• Client SDK: A lightweight JavaScript SDK captures device, OS, browser, and behavioral signals from the client side with minimal performance impact.

What can we expect from the company in the near future? Are there any upcoming projects we could be looking forward to?

Fraud prevention is evolving rapidly toward intelligent, context-aware, and user-centric solutions. At Sensfrx, we’re excited about several innovations:

• Next-Gen Cognitive Engine with LLM Integration: We’re integrating large language models (LLMs) to enable context-aware policy suggestions. This will make fraud prevention more autonomous, dynamic, and tailored to evolving threats — empowering businesses with smarter, simpler tools.
• Advanced Signal Intelligence for Emerging Fraud Types: Fraud now extends beyond account takeovers and fake transactions. We’re expanding detection to cover promo abuse, spam comment detection, mobile app cloning, and more — addressing complex, business-specific fraud vectors.
• Visual Rule Builder: To lower technical barriers, we’re building a no-code visual interface for policy creation. Non-technical users will soon be able to design and deploy custom fraud logic without writing code.
• Broader Marketplace Integrations: We currently offer ready-to-install, no-code plugins in popular marketplaces including WordPress, WHMCS, Blesta, and WiseCP. This allows businesses to integrate Sensfrx quickly and easily—no developer needed. By Q4 2025, we’ll support plugins for Shopify, Adobe Commerce, and BigCommerce — providing plug-and-play fraud protection for a wide range of eCommerce platforms.

Looking ahead, fraud prevention will be defined by adaptive AI, privacy-preserving intelligence sharing like federated learning, and zero-trust behavioral authentication. Sensfrx aims to lead this evolution with solutions that are fast, transparent, and easy to implement, helping businesses of all sizes stay ahead of threats confidently.

Is there anything else you’d like to share about your work that we haven’t covered?

At Sensfrx, fraud prevention isn’t just a technical challenge—it’s a deeply human one. Behind every fake account or fraudulent transaction is a breach of trust—between businesses and their customers, and among users within digital communities. Our mission is to protect that trust.

To founders and product builders: Don’t wait until fraud hits you hard. Implementing proactive fraud prevention early can save you significant time, money, and customer goodwill. We’re here to make that transition as smooth and frictionless as possible.

To learn more about Sensfrx, you can visit sensfrx.ai