The invisible threat: How stealer malware steals your information
Our article explains stealer malware, which steals sensitive data. We explore its operation, infection origins, and provide tips on defense measures.
Meet Identeco: Prevent Threats from Publicly Exposed Credentials
Request your free security report for employee accounts today.
Learn how Identeco has already protected over 1 million accounts from misuse and can safeguard your accounts too.
- Over 1 million accounts protected
- Over 300 million new account records collected every month
- Privacy compliant and secure – born out of a research project of computer scientists and lawyers
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Stop hackers before they strike!
Every day, we protect thousands of compromised accounts before stolen access data can cause damage.
How account takeover attacks happen
Our analysis of data leaks shows that many users’ credentials have been exposed online. Take action now to protect your systems and the accounts of your employees and customers.
Privacy by Design
A completely new technique: automated and data privacy compliant.
Identeco immediately pseudonymizes and anonymizes identity data from leaks before they are analyzed and stored in our database. Even we cannot easily decrypt the plaintext. Unlike competitors, you can check directly within your own infrastructure whether customer and employee accounts are at risk. Test us with minimal effort!
GDPR compliant
Scientifically validated, the verification takes place exclusively in your infrastructure.
Anonymity by Design
We don't need details of your customers or employees to effectively protect accounts.
Ensure Account Security
Our matches are real matches and protect against fraudulent logins.
How do insecure accounts threaten businesses?
Learn more about handling passwords securely, account takeover attacks and the darknet economy in our white paper and blog posts.
Is old leak data still a problem for my accounts?
We explain why older leak data is a security risk, the dangers of forgotten accounts, and why security awareness is important when dealing with old leak data.
