What fraud and risk teams in india must prepare for in 2026

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Explore Bureau

Platform

One Platform to Know, Trust, and Protect Every User

Bureau brings identity, device, behavior, and transaction signals into one engine. Every user is checked from their first session through every transaction they make. The right action fires in under 50ms.

See Bureau Platform in Action

22B+

Identities verified every year

22B+

Identities verified every year

22B+

Identities verified every year

200+

Global brands trust Bureau

200+

Global brands trust Bureau

200+

Global brands trust Bureau

195+

Regions covered

195+

Regions covered

195+

Regions covered

ONE ENGINE. EVERY SIGNAL. EVERY EVENT.

Fraud builds across the lifecycle. So does the defense.

The synthetic identity you approve at onboarding becomes the mule account that moves money six weeks later. Most stacks treat those as two unrelated events. Two vendors handle them, and neither one remembers the other. Bureau runs every stage through one engine, so each decision starts with everything the platform already knows about that user.

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Launch Risk-Based User Journeys without Engineering Bottlenecks

Design, test, and launch compliant journeys for web and mobile without writing code. Server-driven SDKs push logic, screens, and compliance updates over the air, so you never wait on an app release. Risk signals route every user in real time. Clean users clear in seconds. Flagged users get extra verification automatically.

Drag-and-drop builder with conditional paths, retries, A/B testing, and version control
Governed over-the-air delivery with staged rollouts and instant rollback
Fraud checks run from the first interaction, so risky accounts are stopped before they are created

Verify every identity. In every market.

Document verification runs across 195+ countries and territories, with local database checks in each one. Face liveness is iBeta certified and catches deepfakes. AML screening keeps running long after the account opens. Every signal carries forward. Device and network risk from before onboarding shapes the onboarding decision, and both shape every decision after it.

OCR checked against government and regulatory databases in real time, with no manual review queue by default
iBeta certified liveness that catches deepfakes and tampered documents
Ongoing checks after onboarding: AML refreshes, Fraud Ring Score, behavior anomalies

One Continuous Risk State for Every User

Bureau scores financial and non-financial events in the same engine. Logins, device changes, new beneficiaries, and payments all update one score per user, instead of each check standing on its own. Analysts write a fraud scenario in plain language, test it against real payloads in a sandbox, then push it live once a second person approves it.

Financial and non-financial events in one engine, so risk is complete before the transaction arrives
Write rules in plain language and see what each one would have caught before it goes live
Industry’s lowest collision & division rates

Investigate one alert. Block the whole ring.

Every alert arrives with the full session history and the network behind it: links between accounts, devices shared across users, and rings that stay invisible inside any one company's data. Queues rank high-confidence fraud first. Cases route themselves by fraud type and risk score. Investigators stop working alert by alert and start taking down rings.

Alerts ranked by risk score and by links found across institutions
Session history, signal reasoning, and model confidence attached to every alert
STR/SAR reports built from case data with regulatory fields already filled in

See the whole program. Keep every record.

One live view of the fraud program: alert backlog, investigator workload, false positive rates, approval and block rates, and fraud stopped. Workflow and API reporting sends the same data into your BI stack, so the number in your board deck is the number the platform enforced. Every rule change needs a second approver. Every decision is versioned, explainable, and written to a log nobody can edit.

Live dashboards for risk trends, customer impact, and fraud stopped
Workflow and API reporting, exportable to your own analytics stack
Permanent logs of every alert, decision, case action, and rule change

00
01

Launch Risk-Based User Journeys without Engineering Bottlenecks

Drag-and-drop builder with conditional paths, retries, A/B testing, and version control
Governed over-the-air delivery with staged rollouts and instant rollback
Fraud checks run from the first interaction, so risky accounts are stopped before they are created

Verify every identity. In every market.

OCR checked against government and regulatory databases in real time, with no manual review queue by default
iBeta certified liveness that catches deepfakes and tampered documents
Ongoing checks after onboarding: AML refreshes, Fraud Ring Score, behavior anomalies

One Continuous Risk State for Every User

Financial and non-financial events in one engine, so risk is complete before the transaction arrives
Write rules in plain language and see what each one would have caught before it goes live
Industry’s lowest collision & division rates

Investigate one alert. Block the whole ring.

Alerts ranked by risk score and by links found across institutions
Session history, signal reasoning, and model confidence attached to every alert
STR/SAR reports built from case data with regulatory fields already filled in

See the whole program. Keep every record.

Live dashboards for risk trends, customer impact, and fraud stopped
Workflow and API reporting, exportable to your own analytics stack
Permanent logs of every alert, decision, case action, and rule change

The Network Differentiator

Fraudsters reuse the same devices, identities, and infrastructure across banks, fintechs, and marketplaces. That is why the signal that catches them is almost never inside one company's data.

Bureau's Graph Identity Network maps 1.5B+ identities and 750M+ devices across institutions. The data is anonymized, encrypted, and updated in real time. A fraudster flagged anywhere in the network is already flagged on your platform before they reach you. The network feeds the same engine that runs your decisions, so that intelligence applies at onboarding, at login, at every transaction, and in every investigation.

Talk to a Fraud Expert

How it works

Build. Test. Go live. Monitor.

Four steps in one place. Tell Bureau what problem you are solving and the workspace fills in around it: templates for your market, services already set up, and one screen to watch it all run.

Build. Start from a workflow that already works.

Open Build and pick a template for your market and use case: KYC onboarding, KYB merchant checks, mule risk scoring. Or start from an empty canvas. Drop a service onto the canvas and set up its inputs right there. Bureau saves that setup as a reusable module in the background. Branching, reject conditions, and retries are all set in the builder, not in a ticket to engineering.

Templates filtered by country and use case

Named workflows and version history, with no UUIDs to track

Continuous auto-save with a live saved indicator

Build. Start from a workflow that already works.

Templates filtered by country and use case

Named workflows and version history, with no UUIDs to track

Continuous auto-save with a live saved indicator

use cases

From First-Party Abuse to Networked Fraud - Stop Fraud Across the Lifecycle

Bureau’s platform powers risk, fraud operations, and compliance teams at over 200 of the world’s largest enterprises - banks, fintechs, and marketplaces processing real-time payments at global scale.

Payment & APP Fraud

Account Takeover

Synthetic Identity & New Account Fraud

Money Mule Detection

KYB and Merchant Onboarding

KYC and AML Compliance

Customer STORIES