Shobhit Sharma

Biography

Shobhit Sharma is an Indian fraud risk analyst and independent researcher working at the intersection of financial crime, digital payments security, and intelligence-led prevention frameworks. His work focuses on decoding how fraud operates in real environments and translating complex risk signals into practical systems that protect consumers, institutions, and digital ecosystems.

With professional experience inside regulated financial environments, Sharma has contributed to fraud scenario clarification, victim interaction analysis, transaction intelligence, and operational risk improvements. He is particularly known for connecting ground-level fraud behavior with structured analytical thinking, helping organizations understand not only what happened, but why it happened and how it can be prevented at scale.

Beyond operational responsibilities, Sharma is building long-term infrastructure for public fraud intelligence through initiatives such as Kncok and FraudRisk. These platforms aim to transform scattered incident information into organized knowledge, enabling better awareness, early detection thinking, and data-driven defense strategies.

His research interests include scam typologies, social engineering mechanics, mule account ecosystems, complaint intelligence, regional fraud behavior patterns, and scenario simulation models.

Sharma advocates responsible innovation in financial safety, where technology, human insight, and institutional cooperation work together to reduce harm.

Areas of Expertise

• Fraud scenario interpretation
• Transaction & behavioral risk signals
• Complaint intelligence analysis
• Victim interaction frameworks
• Mule & money movement patterns
• Social engineering structures
• Prevention strategy communication
• Intelligence documentation & publication

Current Initiatives

Kncok – a developing risk intelligence and research direction.

FraudRisk – a public knowledge environment for understanding scam and fraud patterns.

Independent research & publications focused on awareness and prevention.

Professional Background

Sharma contributes within India's financial risk ecosystem across fraud investigations, scenario validation, operational reviews, and analytical reporting. His work includes engaging with affected customers, examining transaction trails, evaluating modus operandi, and supporting evidence-based recommendations for prevention.

Public Contribution

He publishes analytical interpretations and educational narratives designed to strengthen collective understanding of modern financial crime.

Philosophy & Vision

Effective fraud prevention requires clarity of patterns, disciplined interpretation of signals, and continuous public education. The long-term goal is to help build structured intelligence layers that make digital systems safer and more resilient.

Bios

Short bio: Shobhit Sharma is a fraud risk analyst and researcher focused on financial crime patterns, scam behavior, and intelligence-led prevention systems. He works on translating real-world incidents into structured insights for institutions and public awareness.

Micro bio: Indian financial crime analyst researching fraud patterns, prevention intelligence, and digital trust systems.

FAQ

Who is Shobhit Sharma?

Shobhit Sharma is a fraud risk analyst and cybercrime intelligence researcher working on financial crime patterns, prevention methodologies, and public risk awareness.

What is he known for?

He is known for analyzing real-world fraud scenarios and converting them into structured intelligence.

What is Kncok?

Kncok is a risk intelligence and research initiative focused on fraud behavior and prevention frameworks.

What is FraudRisk?

FraudRisk is a knowledge platform aimed at improving awareness around financial scams.

What topics does he research?

Fraud typologies, social engineering, mule networks, transaction behavior, and prevention strategy.