Account Takeover Prevention
Stop Account Takeover Before the Fraud Team Gets Involved
By the time a fraud team investigates an account takeover, the damage is usually done — a password was changed, funds moved, or data exported. The attempt itself, though, almost always looks different from a real login well before that point: faster, more repetitive, and missing the small behavioral inconsistencies a real person produces.
Signal: account
Require stronger verification
Why the usual approach falls short
Rate limits and IP blocks miss distributed credential-stuffing attempts run through rotating residential proxy networks. Detection has to score behavior and device signal, since request volume from a single address misses a distributed attempt entirely.
The MaskFlare approach
MaskFlare Radar scores every login attempt in real time on behavioral and device-fingerprint signals, challenging or blocking high-risk attempts before an attacker finds a working credential pair, and flagging anomalous behavior on sessions that pass initial login.
Benefits
Catches distributed attempts, beyond a single-IP flood
Behavioral scoring works even when an attack is spread across a large rotating IP pool.
No added friction for real users
Only attempts that score as risky are challenged, not every login.
Covers post-login anomalies too
Detection extends past the login screen to unusual in-session behavior.
Built on
Understand the underlying risks
Frequently asked questions
Does this replace multi-factor authentication?
No — MFA and behavioral fraud detection address different parts of the same problem. Radar stops high-volume automated attempts before they ever reach the point of testing a second factor.
Will this add friction for legitimate customers logging in?
No — only login attempts that score as risky are challenged. The large majority of real logins pass through without an added step.
Does this stop attacks spread across a large, rotating pool of proxy IPs?
Yes — detection scores behavior and device signal rather than relying on IP reputation, so a distributed attempt spread across a rotating residential proxy pool is scored the same as one coming from a single address.
What happens to a session after a user has already logged in successfully?
Detection doesn't stop at the login screen — sessions that pass initial login are still scored for anomalous in-session behavior, such as a sudden change in the actions being taken.
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