#Fraud

Fraud detection and prevention require real-time analysis of transaction patterns and identity signals. Posts cover anomaly detection for financial fraud, AML compliance engineering, and the multi-layered controls that protect financial platforms from fraudulent activity.

10 posts tagged with fraud. ← All posts

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Pratik Dhanave · ·6 min read

Rules and ML in One Fraud Decision Path

How to combine a deterministic rules engine with an ML risk model in a single decision: rule precedence, score bands, shadow mode, and champion/challenger evaluation with feedback labels.

Teaches how to combine a deterministic rules engine with an ML risk model in one decision path: rule-precedence and overrides, model score bands, shadow mode, and champion/challenger evaluation with feedback labels.

#Fintech#Fraud#Risk#Financial Systems#Evaluation
Pratik Dhanave · ·6 min read

Building a Step-Up Authentication Orchestrator

How a risk-driven layer escalates from silent approval to OTP, biometric, or 3DS challenge — holding a pending-challenge state and resuming the original transaction once the customer clears it.

Teaches how to build risk-based step-up auth: an orchestration layer that escalates from silent to OTP/biometric/3DS challenge based on risk signals, with pending-challenge state and resumable transaction context.

#Fintech#Fraud#Risk#Financial Systems#Multi-Agent Systems
Pratik Dhanave · ·7 min read

"My Agent Did It": Fraud, Disputes, and Liability in Agentic Commerce

When software holds the card and clicks "buy," the old questions — was this the cardholder, did they mean to, who pays if not — all get harder to answer.

The new fraud surface: prompt injection turning a shopping agent into an attacker's buyer, hijacked delegated credentials (Visa saw ~450% more dark-web 'AI Agent' chatter in H1 2026), and disputes when an agent acted on…

#Agentic Commerce#Fraud#Risk#Compliance#AI Agents#Payments#Fintech#Governance

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.