Account Takeover Prevention

SEON detects suspicious login attempts using device, behavioral and velocity signals to block unauthorized access instantly.

How SEON Detects and Stops Account Takeovers

Detect Suspicious Login Activity Early

  • Automatically pinpoint suspicious activity and login patterns using device fingerprinting, behavioral signals and velocity checks across login attempts and account activity
  • Detect social engineering attacks by identifying remote access sessions, screen sharing activity and suspicious credential changes happening simultaneously with fund transfers
  • Trigger step-up authentication for risky sessions by requiring ID document verification, a selfie or proof of address before granting access

Automate Fraud Detection and Decisioning

  • Get AI-suggested rules based on emerging patterns and activate them instantly to automatically block unauthorized transfers, account changes and fraudulent transactions
  • Trigger automations across customers and transactions in one click by adding customers to lists, assigning transactions for review, updating statuses and labeling activity without manual effort
  • Free your team from repetitive manual tasks so analysts can focus on complex cases that require human judgment

Strengthen Account Security and Customer Trust

  • Protect your reputation and reduce customer churn by stopping account takeover fraud before it ever impacts your customers’ accounts
  • Detect suspicious activity in real time with continuous account monitoring that tracks behavioral changes, device shifts and login patterns around the clock
  • Maintain a complete audit trail of every login attempt and account event so your team and regulators always have full visibility

How Companies Block Account Takeovers

“What’s really cool is the way you can set up rules. There is a whole bunch of logic that we’ve just started playing with – the velocity checks when you change the device, the amount spent over a month, and so on. It gives us much more confidence that we can safeguard our customers’ accounts in the long run.”

Daniel Martinez

“SEON shows you how much fraud is on the market, and with their help, you can reduce it. Working in real time is a key difference, and to top it off, the customer support is excellent; getting an answer very quickly, in easy-to-understand terms with examples – this is what I expect from a solution.”

Joeran Kiencke

FAQ

What is account takeover fraud?

Account takeover fraud occurs when an attacker gains unauthorized access to a user’s account, typically using stolen credentials, session hijacking or social engineering. Once inside, attackers can steal funds, make purchases, access sensitive data or use the account for further fraud.

What role do devices play in ATO detection?

Device intelligence identifies when logins originate from new, spoofed or previously flagged devices. Attackers rarely have access to the victim’s actual device, making device fingerprinting a strong ATO signal.

Can account takeover prevention work without MFA?

Yes. While MFA adds security, SEON’s ATO prevention detects unauthorized access through device, behavioral and network signals, regardless of the authentication method. Organizations without MFA still benefit from layered detection.

How does ATO protection affect user experience?

SEON scores risk silently in the background. Based on your configured thresholds, suspicious sessions can trigger the response defined in your risk framework, including step-up identity verification such as a selfie check or a temporary account freeze until an investigation is complete. Legitimate customers continue with fast, low-friction logins, while high-risk activity is contained immediately.

What signals are most effective for detecting ATO?

Device fingerprint changes, impossible travel, behavioral anomalies, velocity patterns, RAT detection and network characteristics combine to identify unauthorized access with high accuracy.