USE CASE: AUTOMATED ATO PREVENTION

Protect Employees & Consumers from
ACCOUNT TAKEOVER

Preventing account takeover attacks requires fast detection and remediation of exposed identity data beyond just stolen credentials. SpyCloud’s holistic approach illuminates dark web exposures well beyond what your current toolset finds and eliminates ATO threats automatically – so you can finally get ahead of  criminals targeting your employees and customers.

The SpyCloud approach

Credentials are only part of the story. Identity data is dynamic, interconnected, and often exploited in ways most tools can’t see.

SpyCloud extends a holistic identity lens across personal, corporate, and crossover exposures with actionable data tied to real users and real threat vectors – with automation that solves the problem, not just notifies you about it.

Holistic identity view
STOP

Treating accounts as standalone perimeters and assuming device wipes solve the problem.

START

Viewing identities as interconnected data points that criminals exploit for unlimited access.

Users’ work, personal, current and past exposures matter to your business.

The right data
STOP
Adding fragmented data feeds that create noise without improving security outcomes.
START
Adding enriched identity data in existing tools to protect against multiple attack vectors.

You don’t need more feeds – you need the right identity data that illuminates the scope of threats to your users right now.

Automation
STOP
Trying to automate playbooks that still require manual intervention and correlation.
START

Automating the remediation of stolen identity data (passwords, cookies) so you actually stop attacks before they happen.

It is actually possible to resolve exposures without lifting a finger.

Get ahead of account takeover – for every identity you manage

Whether you’re protecting your workforce or your customers, SpyCloud helps you detect and act on recaptured identity artifacts from the dark web before attackers can act – closing the window for automated and targeted account takeover attacks.
Continuous identity exposure detection
Monitor credentials and authentication artifacts tied to employees and consumers across breaches, malware logs, and successful phishes
Automated remediation in minutes
Kick off workflows that reset passwords, revoke tokens, and trigger step-up auth before compromise occurs
Pre-login prevention, not just post-incident response
Stop account takeover by acting on real exposures earlier – not after alerts or fraud cases pile up

EXPLORE MORE PRODUCTS

Stop account takeover with identity threat protection

Employee ATO Prevention
Prevent stolen credentials from being reused to access employee accounts
Identity Guardians

Automate credential remediation within minutes of discovery in Active Directory, Entra ID, and Okta

Consumer ATO Prevention
Protect user accounts at scale by detecting and remediating exposed identities
If your brand is important and you have employees that you want to protect from account takeover and ultimately protect consumer data, you have to get SpyCloud.
TRUSTED BY HUNDREDS OF GLOBAL INDUSTRY LEADERS

EXPLORE WHO USES SPYCLOUD

Defenders
we help

SpyCloud empowers a wide range of teams responsible for ATO prevention.

SECURITY OPERATIONS

Automatically detect exposed workforce credentials and respond across identity infrastructure

Fraud PREVENTION

Prevent ATO and session hijacking on consumer platforms before fraud occurs

IDENTITY

Reduce manual intervention by integrating SpyCloud into your IAM and directory tools

Integrations

SpyCloud integrates with identity, fraud, and response tools including Okta, Entra ID, Active Directory, Splunk, Cortex XSOAR, and more – enabling plug-and-play workflows for automated credential and session remediation.

Next steps

Catch dark web identity exposures before attackers log in

Automated ATO Prevention FAQs

In an account takeover attack, criminals use another person’s login credentials, most often by leveraging reused or similar passwords from previously breached sites, to gain access to existing accounts. Once inside, they make unauthorized transactions, siphon funds, and steal corporate data or personally identifiable information (PII) to use for other purposes, or simply to sell to other attackers on the dark web.

We Choose Weak, Common Passwords
Regardless of all the advice out there about the importance of strong passwords, users will choose sequential numbers and dictionary words or add a ! or 1 to the end of their password (especially when prompted to change passwords every 90 days by corporate IT). Memorable passwords may seem unique to users – but they often aren’t. Among the 3.1 billion passwords SpyCloud recovered last year alone, “123456” and “admin” were among the most common. Common basewords like “cat,” “zelda,” and “taylor swift” were all found in abundance, too. Unless these passwords are banned and password complexity requirements put in place, some users will always select easy-to-remember passwords.

We Reuse Passwords Across Multiple Accounts
In a Google study, 66% of people admitted to reusing the same password across one or more accounts. SpyCloud’s own research shows that even employees at some of the world’s largest and most innovative companies share this bad habit; 70% of users are reusing passwords across work and personal accounts. When one site is breached, cybercriminals can access any other accounts that are protected by the same credentials. Using a password manager is a way to kick this habit, but only some flag compromised passwords and stop users from choosing them.

We Click Links & Download Attachments from Unfamiliar Sources
To the dismay of security teams everywhere, users habitually click almost any link or file that lands in their inbox, whether they recognize the sender or not. Inevitably, this leads to users’ machines becoming infected. Some infostealer malware can harvest usernames and passwords, browser cookies, autofill data, and more – putting those users at extremely high risk of ATO.

If it was, we’d be seeing less of an account takeover problem as businesses adopt MFA. Requiring users to provide something they know (a password) plus something they are (biometrics) or something they have (smartphone token), is an important layer of protection and will deter some cyberattacks. Some – not all. It is still possible to bypass MFA via many avenues, including with session hijacking. Even still, MFA causes friction between the user and the service. Most of us will buck at pulling out our phones to tap ‘approve’ on a login multiple times a day and may turn MFA off at the first opportunity.

Password managers can help, but even when companies mandate their use, most employees don’t use password managers at home or for personal services. This wouldn’t be such a problem if password reuse wasn’t so rampant and the lines between personal and employee accounts and devices weren’t already blurred. Confusing BYOD policies and the use of employee accounts on personal devices only make the situation worse.

Password rotation policies actually benefit threat actors more than the users. Criminals test stolen credentials on a regular basis knowing that eventually, the user will think they’re safe and reset their password to one that has already been compromised. This blog on password rotation summarizes our point of view well.

It’s the proactive detection and remediation of exposed identity data – credentials, session tokens – before attackers can use them to take over accounts.

Yes. SpyCloud provides visibility into exposures tied to both internal and external identities, with tailored triage and remediation workflows for each.

SpyCloud stops attacks before login even happens by identifying exposure earlier – through criminal data sources attackers rely on.
No, MFA is not sufficient protection from account takeover attacks. SpyCloud helps detect session hijacking, which bypasses MFA entirely by stealing active session tokens.

Absolutely. SpyCloud supports integrations with both workforce and consumer identity systems, including Okta, Entra ID, and customer-facing auth layers.