Fraud Risk Snapshot — $99 · 48-Hour Report Based in India · Serving globally · USD via PayPal
Start Audit — Pay $99 →
Based in India · Serving globally · Response within 24 hours
Fraud Risk · Trust · Intelligence

Fraud Risk Consulting for Fintech & AI Platforms

Detect fraud before it becomes
a financial loss.

Your fraud risk team, before you've hired one.

I help fintech and AI platforms identify fraud vulnerabilities, reduce financial exposure, and implement practical detection systems — before losses scale.

Start here →

🔍 New to fraud risk? — Get the $99 Snapshot

🚨 Facing active fraud?Book a call

📈 Scaling platform?Explore the full assessment

Or download the free Fraud Intelligence Framework PDF to review the methodology first.

Used by early-stage fintechs, payment teams, and AI product builders.

6+ Years Fraud Operations
48‑Hr Snapshot Delivery
India & GCC Coverage
NDA Every Engagement

Fraud patterns evolve faster than internal teams can detect. Most platforms only discover fraud after financial loss or regulatory pressure.
Zarelva helps you identify and fix these gaps before they scale.

Most platforms lose 2–5% of revenue to fraud before detection systems mature.

Trusted signals, not claims

✦ 7+ fraud investigations documented ✦ Open-source fraud detection frameworks ✦ Real malware investigation case study ✦ Fraud scenarios mapped across ₹Cr+ transaction environments ✦ MSME registered consultancy

Four verifiable signals, not claims.

Instead of generic “trusted by” logos, Zarelva leads with assets you can inspect yourself in under two minutes.

📄

Fraud Intelligence Framework

One‑page model used in every engagement, published as an open PDF instead of a hidden sales deck.

View the framework PDF
🧠

AI Fraud Detection Research

Full AI fraud detection framework and signal architecture, including risk scoring and layered detection design.

Read the framework
💻

Open‑Source Risk Engines

Agent Risk Engine and Fraud Signal Library on GitHub show how detection logic is implemented in real code.

View GitHub projects

Government‑Registered Micro Enterprise

Registered MSME (UDYAM‑KR‑03‑0675917) operating under NDA on every engagement, with verifiable certification.

View MSME certificate

Why not handle this internally?

Most teams detect fraud after losses. Zarelva identifies vulnerabilities before they scale.

Not Sure Where to Start?

Find out your fraud exposure in 90 seconds.

8 questions. Instant score. Personalised recommendation — no commitment required.

Take the Fraud Exposure Assessment →

Fraud investigation and risk architecture services.

Three focused ways to work with Zarelva. Each engagement is scoped to your platform size, geography, and risk environment.

01

Fraud Risk Assessment

A structured assessment of your onboarding, payments, and AI surfaces, mapped to realistic attack scenarios and financial exposure.

Attack Surface Mapping Signal Gap Analysis Impact Modelling
Learn more
02

AI Agent & Autonomy Risk Review

Evaluation of how autonomous agents can be abused — prompt injection, delegation chain abuse, and non‑human velocity patterns in your environment.

Agent Behaviour Delegation Chains Abuse Scenarios
View the AI risk framework
03

Fraud Intelligence Architecture Support

Ongoing advisory to design signal libraries, detection architectures, and fraud intelligence playbooks tailored to your product and geography.

Signal Library Design Detection Architecture Playbooks
Discuss an engagement

What you get

  • Clear fraud risk exposure report — not a generic checklist
  • Top 3–5 fraud vulnerabilities specific to your platform
  • Detection signals you can implement immediately
  • Actionable roadmap — not theory, not a sales deck

Every engagement starts with a signed NDA. Fixed fee. Direct access to the founder — no junior handoffs.

Start for $99 →

Limited to 3 new assessments per week to maintain quality.

Not ready for a full assessment? Start with the 48-Hr Fraud Risk Snapshot — identify your top 3 fraud risks before they cost you revenue. Delivered in 48 hours. $99 USD.

Start for $99 →

Delivered as a concise PDF (5–7 pages) with risk breakdown, signals, and action steps.

Not sure which tier fits? → Take the Fraud Exposure Assessment

Three ways to work with Zarelva.

All fixed-fee. All under NDA. Start with the Snapshot — scale when you're ready.

Most Popular · Start Here
Tier 1

Fraud Risk Snapshot

$99 USD
Delivered in 48 hours
  • Top 3–5 fraud vulnerabilities
  • Attack surface map
  • Detection signal gaps
  • Financial exposure estimate
  • 5–7 page PDF + debrief call
  • Full refund if no risks found
Pay $99 & Start →
Tier 2

Fraud Intelligence Assessment

$899 – $1,799 USD
2–3 week engagement
  • Full attack surface review
  • Fraud scenario simulation
  • Detection architecture design
  • AI agent risk review
  • Implementation roadmap
  • NDA + engagement agreement
Book a Scoping Call
Tier 3

Fractional Fraud Advisor

$299 – $720/mo
3-month minimum
  • Ongoing fraud advisory
  • Monthly signal review
  • Incident response availability
  • Detection playbook development
  • Direct WhatsApp/email access
  • Scales with your platform
Discuss Fit

Not sure which tier fits? Take the 90-second Fraud Exposure Assessment →

Built for platforms where fraud is a real problem.

If you move money, manage users, or deploy AI that makes decisions — you are a fraud target. Zarelva works with teams at every stage.

🏦

Fintech & Neobanks

UPI, wallets, BNPL, prepaid — where fraud patterns move fastest.

💳

Payment Platforms

Card testing, refund abuse, chargeback rings — before they scale.

🤖

AI-Native Products

Agents making decisions — prompt injection, override abuse, delegation fraud.

🏢

BFSI & Digital Lenders

NBFCs facing synthetic identity, application fraud, and RBI audit readiness.

🛒

Marketplaces & SaaS

Buyer/seller fraud, account takeovers, and API abuse at scale.

See how Zarelva reviews AI decisions in real time.

Run a real scenario through the risk engine and see how decision vulnerabilities, fraud patterns, and compliance gaps are surfaced before they hit production.

84 / 100
Risk score in seconds
12 / 40L
Fraud exposure flagged
CRITICAL
Chain violations detected

No login. No setup. Results in under 10 seconds.

This is how fraud risk is surfaced before transactions are approved — not after losses occur. Real signals, real decisions, real time.

Simulates how fraud risk is scored before approvals in production systems.

Independent fraud intelligence, not agency decks.

Gururaj GJ — Founder, Zarelva
Gururaj GJ — Founder, Zarelva

I’m Gururaj GJ, a fraud intelligence specialist with 6+ years of hands‑on fraud operations experience across India’s largest e‑commerce platform, a global cloud provider, a multinational digital marketplace, and a global payments intelligence firm.

I started Zarelva because most fraud consulting either arrives too late, costs too much for early‑stage platforms, or ignores the AI‑era attack vectors that now drive the fastest‑growing fraud categories in India and the Gulf.

I work with a small number of clients at a time — so every engagement gets my full attention, not a handoff to a junior associate. When you engage Zarelva, you work directly with me from the first conversation to the final deliverable.

View full background on LinkedIn

Recent thinking on fraud intelligence.

Zarelva publishes regular analysis on LinkedIn — fraud patterns, AI-era attack vectors, and risk architecture thinking. Follow along or reach out to start a conversation.

Research‑grade fraud intelligence, published openly.

Every engagement is grounded in structured frameworks — not ad‑hoc checklists. The same tools are available to your team from day one.

AI Fraud Detection Framework 2026

Layered detection model across identity, access, behaviour, transaction, and network — with weighted signals and example scenarios.

Read the framework

Agent Risk Engine

Python‑based fraud scoring engine for AI agent environments, evaluating 47 signals across all five fraud layers.

View on GitHub

Fraud Signal Library

Structured catalogue of signals across identity, device, behavioural, network, and transaction dimensions — used in gap analysis and architecture design.

Explore the signal library

Fraud problems solved in real-world environments.

Case studies, investigation methodology, and detection research — from real platform fraud work, not textbooks.

Live Investigation · New

OLX UPI Collect Fraud — Forensic Dissection

  • Device fingerprint reconstructed from JPEG quantization signature
  • Payment mechanism and escalation loop fully mapped
  • Paytm POS Terminal ID as permanent attribution anchor

Passive forensics only. From 67KB of evidence. No device access. No active exploitation.

View Full Case Study →
Live Investigation

Loan App Malware Investigation

7 malicious APKs identified. Full Android device forensics, incident timeline reconstruction, and evidence procedures.

View case study
Identity Fraud

Synthetic Identity Fraud

How synthetic identities pass KYC undetected — and the signals that surface them during cultivation, before bust-out.

Read the insight
AI Agent Risk

Fraud in Autonomous AI Agents

Agent fraud bypasses human-era controls. How to monitor delegation chains, prompt injections, and non-human velocity.

Read the insight
Detection Signals

Behavioural Fraud Signals

The behavioural and velocity signals your platform should be collecting — and the patterns they expose when combined.

View the signal reference

Request a fraud exposure perspective on your platform.

Send a short description of your product, geography, and what you’re seeing. Zarelva will respond with an initial fraud exposure perspective and proposed assessment scope — no commitment required.

Book a 30‑Minute Fraud Exposure Call
Prefer WhatsApp or email? Message on WhatsApp · Email Gururaj

Prefer email? Describe your fraud problem — you'll get a response within 24 hours.

📧 Consulting: hello@zarelva.com 📞 WhatsApp: +91 76768 37358 💼 LinkedIn: linkedin.com/in/gururajgj 🏛 MSME: UDYAM‑KR‑03‑0675917