What is account takeover fraud?

Account takeover (ATO) fraud occurs when a fraudster gains unauthorized access to a legitimate customer account — typically using stolen credentials from data breaches, phishing attacks, or credential stuffing — and then makes fraudulent purchases, drains stored value, transfers funds, or changes account details to lock out the true owner.

ATO stands for account takeover — the unauthorized access and exploitation of a legitimate users online account by a fraudster. ATO attacks typically begin with credential theft via data breaches or phishing, followed by account reconnaissance, fraudulent transactions, or account resale on fraud marketplaces.

What is credential stuffing?

Credential stuffing is an automated attack in which fraudsters use large lists of stolen username and password pairs — sourced from data breaches — to attempt logins across multiple sites at scale. Credential stuffing is the most common entry point for account takeover fraud.

What is synthetic identity fraud?

Synthetic identity fraud occurs when a fraudster creates a fictitious identity by combining real and fabricated personal information — for example, a real Social Security number with a fake name and address — to open accounts, build credit, or make purchases.

What is multi-account fraud?

Multi-account fraud occurs when a single fraudster or fraud ring creates multiple accounts on the same platform to abuse promotions, circumvent fraud controls, launder money, or amplify the impact of a scam.

How do you prevent account takeover?

Preventing account takeover requires a layered approach: detecting credential stuffing attacks at login with velocity and behavioral checks; using device intelligence to identify unfamiliar or spoofed devices attempting account access; and triggering step-up authentication when risk signals cross defined thresholds.

What is the difference between account takeover and identity theft?

Identity theft is the broader crime of stealing someones personal information to impersonate them — opening new accounts, taking out loans, or committing fraud in their name. Account takeover is a specific form of identity exploitation where the fraudster accesses an existing account.

How does account protection software work?

Account protection software monitors every login, account creation, and post-login action for signals that distinguish a legitimate account owner from a fraudster using device fingerprinting, behavioral analytics, velocity checks, and consortium data.

Account Protection

Say Yes to Every Real Customer. No to Every Fraudster.

Account takeover losses topped $15B in the U.S. in 2025, affecting 6 million consumers.¹ Account Protection verifies who’s behind every login, signup, and account change before losses hit the balance sheet, without adding friction for your best customers.

Part of the Predictive Yes Platform · Real-time risk scoring · Explainable decisions

Every Login Is a Decision. Most Tools Are Guessing.

Billions of stolen credentials, email addresses, and personal identifiers are circulating from data breaches and social engineering attacks, fueling account takeover, credential stuffing, fraudulent account creation, and loyalty abuse. Most fraud tools were built to watch the payment event, leaving the account creation, login, and profile changes where many attacks start largely unmonitored.

Traditional point solutions focus on a single attack vector, operate in silos, and create friction for the customers you most want to keep. Meanwhile the cost compounds quietly — account recovery expense, customer churn after a takeover, stolen loyalty balances, and fraud and security teams stuck investigating cases with no shared view of the risk.

Meet Account Protection

Accertify's AI-Powered Solution for Account Fraud and Identity Risk

Account Protection helps you confidently verify who’s behind every digital interaction — every account creation, login, and profile change. It evaluates device, connection, location, behavior, and reputation signals using AI-powered risk analysis, behavioral analytics, and consortium-based intelligence to separate trusted users from high-risk activity in real time.

Before fraud becomes a customer, financial, or reputational problem, you can automate the response that fits your risk appetite — approve, challenge, require MFA, force a password reset, lock the account, or route the customer to passwordless verification with a magic link or passkey.

How It Works

From account event to a decision you can act on — in real time.

STEP 1

A customer creates an account, logs in, or updates their profile.

The moment is captured the instant it happens, across web, mobile, and app channels.

STEP 2

Signals stream into Account Protection.

Device, connection, location, behavior, and reputation data flow in automatically, no manual pull required.

STEP 3

AI risk scoring evaluates the interaction, instantly.

Machine learning models flag account takeover, credential stuffing, bots, and fraudulent account creation in real time.

STEP 4

You act with confidence.

Approve, challenge, require MFA, lock the account, or trigger passwordless verification, all backed by an explainable risk score.

Protect Revenue Earlier

Identify and stop account takeover, fraudulent account creation, credential stuffing, bots, and loyalty abuse before they become financial losses. The earlier you catch it, the less it costs.

Reduce Risk

Use AI-powered risk analysis across device, behavior, location, connection, and reputation signals to reduce account compromise and stop threats before they escalate.

Unify Intelligence

Give cybersecurity, fraud, CIAM, and eCommerce teams a shared view of account risk, so every team works from the same signals instead of fragmented tools.

30–50%

projected reduction in annual account takeover incidents for organizations using Account Protection⁵

In 2025, Account Protection processed 1.63 billion account events, surfacing 84.5 million high-risk events and 75.2 million risky logins.⁵ That precision means you can keep login friction low for genuine customers while stopping credential-stuffing bots and takeover attempts before they succeed.

Feature Highlights

Everything an account fraud and
identity team needs, in one workspace.

Capability	Description	Details
Device Intelligence	Delivers more accurate identity verification across every interaction.	14% lift in fraud detection when integrated into our Fraud Management and Account Protection solutions with Device Intelligence (Accertify Client Data, 2023-2024)
User Behavior Analytics	Detects suspicious activity and bots before losses occur.	Accertify helped identify 84.5 million high-risk events. (Accertify Client Data, 2024-2025)
AI Risk Scoring	Enables immediate, automated action against fraud.	Organizations using Account Protection prevent up to 80% in annual account takeover incidents, with up to 99% accuracy during credential stuffing events (Accertify Client Data, 2025.)
Profiles	Unifies customer activity across devices, accounts, and transactions into one identity.	Accertify processed 1.63 billion events (Accertify Client Data, 2024-2025)
Consortium Network	Identifies known threats across the global network.	Insights based on more than 10 billion transactions (Accertify Client Data, 2025)
Passwordless Authentication	Reduces login friction with secure magic links and FIDO2 passkeys.	Accertify has helped detect 75.2 million risky logins (Accertify Client Data, 2024-2025)

The Predictive Yes Platform

Built Into the Predictive Yes Platform

Account Protection doesn’t stop watching once a customer logs in. It’s one piece of Accertify’s Predictive Yes Platform, which joins identity, behavioral, and transaction signals across the entire customer lifecycle — from account creation through checkout, payments, and post-purchase. That means a login isn’t just a login: it’s a signal that sharpens every decision that follows, for this customer and across the consortium.

Explore the Platform

The rest of Accertify's fraud and risk
solutions.

Abuse Prevention

Stop returns abuse, refund fraud, and policy exploitation.

Fraud Management

Real-time approve/decline decisions at checkout.

Chargeback Management

Automate dispute defense end to end.

Payment Optimization

Tune conversion and approval rates on payments.

Frequently Asked Questions

Questions About Account Protection

What makes Account Protection different from other account fraud tools?

Account Protection is built directly into Accertify’s Predictive Yes Platform, so the device, behavior, location, connection, and reputation signals gathered across the customer lifecycle inform every account decision, not just the ones happening at login. That means risk scoring gets sharper over time instead of starting from zero on every event.

How does Accertify Account Protection compare to Forter's Account Protection?

Account Protection combines device intelligence, user behavior analytics, connection, location, and reputation signals to assess risk across the entire account lifecycle, not only the login event. It also gives cybersecurity, fraud, CIAM, and eCommerce teams a shared view of that risk instead of siloed tools.

How does Accertify Account Protection compare to Riskified Account Secure?

Account Protection evaluates account creation, login, profile updates, loyalty activity, and other identity events well before a transaction reaches the payment stage, using device and behavioral intelligence to flag anomalies and flexible, risk-based decisioning tuned to your risk appetite.

How does Accertify Account Protection compare to Signifyd Account Protection?

Account Protection is built to answer one question first: who is behind this interaction? It supports account takeover, credential stuffing, fraudulent account creation, loyalty and promo abuse, multi-accounting, and bot detection from a single set of identity signals shared across every team that needs them.

Do I need Accertify's full fraud platform to use Account Protection?

No. Account Protection can run standalone or fully integrated with Accertify’s fraud, abuse prevention, and chargeback management solutions, drawing on the same identity, behavioral, and transaction signals used across checkout and payments.

Sources: 1. Javelin Strategy & Research, 2025 Identity Fraud Study. 2. Merchant Risk Council, 2026 Global eCommerce Trends Report. 3. Verizon, 2025 Data Breach Investigations Report. 4. Loyalty Security Association, 2020 (estimating $3.1B in fraudulent U.S. loyalty point redemptions annually). 5. Accertify client data, 2024–2025.