An attacker who signs in with your user's real credentials passes every check you have. The password matches, the session is valid, and to your application it's just another login. What gives a takeover away is context: a device the account has never used, in a place it has never been, followed by moves a legitimate owner rarely makes.
Dregs detects account takeover continuously from the events you already send, and it's on by default: every Dregs customer gets the "Account Takeover Suspected" badge and a critical escalation rule with zero configuration.
Account takeover (ATO) is an attacker gaining control of a legitimate user's account, usually with stolen credentials from phishing, leaked password lists tested through credential stuffing, malware, or abuse of the account recovery flow. Unlike fake-account fraud, everything about the account is genuine except the person operating it.
That's also why it's the costliest abuse pattern per incident. A taken-over account arrives warm: established reputation, stored payment methods, real data, real contacts. Attackers drain stored value, make purchases, exfiltrate data, spam from a trusted sender, and then lock the real owner out by rotating the password and recovery email. Each one is a breach incident with support cost, trust damage, and potentially notification obligations attached.
Authentication answers one question: does this credential match? It says nothing about whether the person holding the credential is the owner. MFA raises the bar but doesn't close the gap: fatigue attacks wear users down, one-time codes get intercepted, recovery flows get social-engineered, and most SaaS products can't force MFA on every user anyway.
The deeper problem is timing. Every front-door check is a point-in-time decision, and the takeover does its damage after the login succeeds. Catching it requires watching what the account does next, which is precisely what continuous scoring is for.
Takeover detection in Dregs is probabilistic, built on evidence that accumulates rather than any single trigger:
The combination is what matters. A new laptop on your customer's home Wi-Fi scores as exactly that, and without corroborating credential activity a contextual oddity is recorded as "unusual new-device context" at most: it nudges the Behavior score, but it never opens an incident. Supporting analyzers fill out the picture, including impossible-travel detection, password-reset and OTP-request pressure, and network reputation built from Tor exit and abuse-reported IP lists that Dregs refreshes weekly.
When the evidence crosses the line, the identity is badged "Account Takeover Suspected" with a plain-language explanation of what was seen: which device, how far from the account's usual locations, what credential activity accompanied it, and how many other accounts the device touched. A critical escalation opens automatically. That escalation rule ships enabled for every Dregs customer, so there is nothing to configure before your first takeover gets caught.
The traditional answer to ATO is more friction: challenge every login, expire every session, interrogate every user. That protects accounts by punishing the 99% of logins that are legitimate. Continuous detection inverts the trade: let normal logins stay effortless, and spend the friction, a step-up prompt or a forced re-authentication, only on the accounts Dregs has actually flagged.
Two things get you the strongest detection. First, map your authentication events (login, password reset, password change, profile update) to Dregs's canonical event types in Settings → Mappings; global defaults already cover common event names. Second, give accounts a little history: takeover detection deliberately requires an established baseline, since a brand-new account can't be "taken over" in any meaningful sense. Suspicious new accounts are fake-signup territory, and Dregs covers that with a different set of signals.
The attack wave that produces takeovers. Dregs detects the velocity, automation fingerprints, and identity cycling that give campaigns away.
Most takeover attempts arrive automated. Dregs identifies the automation itself, from headless browsers to inhuman timing.
The score that hosts takeover detection: a continuous 0–100 measure of whether an account's usage looks like its legitimate owner.
A: Account takeover is when an attacker gains control of a legitimate user's account, typically with stolen credentials from phishing, leaked password lists, or recovery-flow abuse. Unlike fake-account fraud, everything about the account is real except the person operating it, which is what makes ATO hard to catch: the login succeeds, the session is valid, and only the surrounding context and behavior give the intruder away.
A: Credential stuffing is a method: testing leaked username/password pairs against your login page at scale. Account takeover is the outcome: someone other than the owner controlling an account. Stuffing is one common path to ATO, but takeovers also come from phishing, malware, and recovery-flow abuse. Dregs watches both ends: the credential stuffing signals catch the attack wave, and the takeover signals catch the individual accounts that fell.
A: Probabilistically, from combined evidence: a device the account has never used before, unusual network and geolocation context, credential moves (password resets or changes, profile updates) close to the new device's first appearance, and the same device touching other accounts in a short window. No single signal raises an alarm. A new browser on a familiar home IP stays quiet; a new device from a new country that immediately resets the password and rewrites the profile does not.
A: The identity gets an "Account Takeover Suspected" badge with a plain-language explanation and the supporting evidence, and a critical escalation opens automatically. The escalation is visible in the dashboard immediately and can notify your team via Slack, email, or webhook. Many teams wire the webhook back into their application to force re-authentication or step-up verification on the affected account. When the evidence ages out, the badge clears and the escalation resolves on its own.
A: No new integration: detection runs on the events you already send. To unlock the strongest sequence detection, make sure your authentication events (login, password reset, password change, profile update) are mapped to Dregs's canonical event types under Settings → Mappings. Global defaults cover common event names automatically, so many applications are covered out of the box.
A: No, and it isn't meant to. MFA makes takeovers harder at the front door; Dregs watches what happens after any door is opened, including takeovers that bypass MFA through fatigue attacks, intercepted one-time codes, or recovery flows. The two complement each other well: continuous detection means you can reserve step-up challenges for the moments Dregs flags, instead of taxing every login.
A: This is exactly what the evidence model is designed to avoid. Familiar IPs and nearby locations actively dampen the risk, the geolocation of known egress networks like Tor is discounted rather than treated as travel, and without corroborating credential activity a new device in odd context is noted as unusual, never escalated as a takeover. A privacy-conscious user on a VPN is not an incident.
Drop the Dregs tracking script into your application and account takeover detection is on from day one, with a critical escalation ready to notify your team the moment a takeover is suspected.
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