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REPORT

2021 Report: Breach Exposure of the Fortune 1000

SpyCloud 2021 Report: Breach Exposure of the Fortune 1000

Password reuse is a leading cause of account takeover, and it’s an issue for security teams everywhere. Data breaches plague every enterprise, including America’s most successful businesses; but even employees who practice good password hygiene may put their employers at risk when third-party data breaches expose personal data that can be used against them.

To highlight the scope of the problem, SpyCloud analyzed breach data tied to employees of Fortune 1000 companies. For this analysis, we examined over 107 million Fortune 1000 employee breach records containing more than 543 million assets, all of which are available to cybercriminals and can be used for malicious purposes.

  • What kinds of stolen employee data criminals have access to, and the dangers it presents for enterprises
  • The most popular passwords of Fortune 1000 employees
  • How many employee and consumer credentials have been collected by keyloggers
  • Infographics showing credential exposure, password reuse rates, and more for all 21 Fortune 1000 sectors
Download the PDF version of the report to print or share with others.

Solution:

Account Takeover Prevention

Reset stolen passwords before criminals can use them to defraud your users or access sensitive corporate data.

Trusted by market leaders

With 500+ customers around the world, including half of the Fortune 10, SpyCloud is the leader in operationalizing Cybercrime Analytics to protect businesses.

We’re on a mission to make the internet a safer place by disrupting the criminal underground. Together with our customers, we aim to stop criminals from profiting off stolen data.

#1 Global
Streaming Service
#1 Global
Airline
#1 Global Software
Company
Leading
US Banks
#1 Global
Online Retailer
#1 US Crypto Exchange

Check Your Exposure

See your real-time account takeover exposure details powered by SpyCloud data.

[2024 REPORT] The biggest identity threats to have on your radar. Read Now

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