2022 Fortune 1000 Identity Exposure Report
With the continued onslaught of data breaches and malware infections, account takeover and online fraud are serious security threats facing enterprises every day. Add to it employees’ bad habit of using weak and reused passwords, and that creates the perfect opportunity for malicious actors to take advantage.
To highlight the scope of the problem, SpyCloud analyzed the exposed data tied to employees of Fortune 1000 organizations in our database. For this analysis, we examined over 126 million Fortune 1000 employee breach records containing more than 687 million assets, all of which are available to cybercriminals and can be used for malicious purposes.
Download the report to see:
- The sectors with the highest and most severe exposure
- The most popular exposed passwords of Fortune 1000 employees
- The impact of malware-infected employees and consumers
- Infographics detailing credential exposure, password reuse rates, and more for all 21 Fortune 1000 sectors
Download the Report
Our annual reports analyzes the 15.5 billion assets we recaptured from the criminal underground last year, and how enterprises can use this information to protect themselves from ATO, malware, and ransomware, and protect their consumers from online fraud.
On-Demand Webinar: A detailed look at how anti-detect browsers + malware-stolen data put consumers at risk of fraud, and how Session Identity Protection helps protect your bottom line by offering early warning of malware-infected consumers with compromised web session cookies.
The SpyCloud Difference
Truly Actionable Recaptured Data
SpyCloud solutions are backed by the world’s most current and comprehensive repository of recaptured data from breaches, malware infections, and other underground sources – with billions of exposed credentials and PII. It’s the same data that fraudsters use, but we make it actionable to prevent account takeover, ransomware attacks, and online fraud.
Check Your Exposure
See your real-time breach exposure details powered by SpyCloud data.