Fraud Intelligence Framework
One‑page model used in every engagement, published as an open PDF instead of a hidden sales deck.
View the framework PDFFraud Risk Consulting for Fintech & AI Platforms
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.
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
Instead of generic “trusted by” logos, Zarelva leads with assets you can inspect yourself in under two minutes.
One‑page model used in every engagement, published as an open PDF instead of a hidden sales deck.
View the framework PDFFull AI fraud detection framework and signal architecture, including risk scoring and layered detection design.
Read the frameworkAgent Risk Engine and Fraud Signal Library on GitHub show how detection logic is implemented in real code.
View GitHub projectsRegistered MSME (UDYAM‑KR‑03‑0675917) operating under NDA on every engagement, with verifiable certification.
View MSME certificateWhy not handle this internally?
Most teams detect fraud after losses. Zarelva identifies vulnerabilities before they scale.
Not Sure Where to Start?
8 questions. Instant score. Personalised recommendation — no commitment required.
Three focused ways to work with Zarelva. Each engagement is scoped to your platform size, geography, and risk environment.
A structured assessment of your onboarding, payments, and AI surfaces, mapped to realistic attack scenarios and financial exposure.
Learn moreEvaluation of how autonomous agents can be abused — prompt injection, delegation chain abuse, and non‑human velocity patterns in your environment.
View the AI risk frameworkOngoing advisory to design signal libraries, detection architectures, and fraud intelligence playbooks tailored to your product and geography.
Discuss an engagementWhat you get
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.
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
All fixed-fee. All under NDA. Start with the Snapshot — scale when you're ready.
Not sure which tier fits? Take the 90-second Fraud Exposure Assessment →
If you move money, manage users, or deploy AI that makes decisions — you are a fraud target. Zarelva works with teams at every stage.
UPI, wallets, BNPL, prepaid — where fraud patterns move fastest.
Card testing, refund abuse, chargeback rings — before they scale.
Agents making decisions — prompt injection, override abuse, delegation fraud.
NBFCs facing synthetic identity, application fraud, and RBI audit readiness.
Buyer/seller fraud, account takeovers, and API abuse at scale.
Run a real scenario through the risk engine and see how decision vulnerabilities, fraud patterns, and compliance gaps are surfaced before they hit production.
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.
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 LinkedInZarelva publishes regular analysis on LinkedIn — fraud patterns, AI-era attack vectors, and risk architecture thinking. Follow along or reach out to start a conversation.
Every engagement is grounded in structured frameworks — not ad‑hoc checklists. The same tools are available to your team from day one.
Layered detection model across identity, access, behaviour, transaction, and network — with weighted signals and example scenarios.
Read the frameworkPython‑based fraud scoring engine for AI agent environments, evaluating 47 signals across all five fraud layers.
View on GitHubStructured catalogue of signals across identity, device, behavioural, network, and transaction dimensions — used in gap analysis and architecture design.
Explore the signal libraryCase studies, investigation methodology, and detection research — from real platform fraud work, not textbooks.
Passive forensics only. From 67KB of evidence. No device access. No active exploitation.
7 malicious APKs identified. Full Android device forensics, incident timeline reconstruction, and evidence procedures.
View case studyHow synthetic identities pass KYC undetected — and the signals that surface them during cultivation, before bust-out.
Read the insightAgent fraud bypasses human-era controls. How to monitor delegation chains, prompt injections, and non-human velocity.
Read the insightThe behavioural and velocity signals your platform should be collecting — and the patterns they expose when combined.
View the signal referenceSend 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 CallPrefer email? Describe your fraud problem — you'll get a response within 24 hours.