Manned by data scientists with backgrounds in military cyberintel, CloudLock’s CyberLab works to bring you the latest trends, threat prevention tips, and cyber intelligence. With the largest customer base in the market, our data scientists are able to aggregate anonymized data points across more than 101,000 apps, 10 million users, and the 1 billion files CloudLock monitors daily, to uncover deeply nuanced patterns and provide cutting edge updates to help organizations securely leverage the cloud.
This Just In From The CloudLock CyberLab
We all make typos from time
two to time, it’s only natural. Users don’t get their passwords right 100% of the time, and login failures or challenges are sometimes just a sign of human error. However, when they occur in larger-than-normal volumes, it could signify a hacker’s attempt to infiltrate an organization.
Using advanced User and Entity Behavior Analytics (UEBA) the CyberLab looked into these types of abnormal login behaviors and found the following:
When a user’s behavior deviates this much from the norm, it’s crucial to investigate. Once such anomalies are detected, the next step is to correlate these activities with other high-risk, suspicious activities and pinpoint compromised accounts.
How Do You Spot Truly Suspicious User Behaviors?
Read the CyberLab’s latest report for more details on suspicious and anomalous behavior, including data on top offenders for asset downloads and deletions. Plus, learn about the new Cloud Threat Funnel methodology which makes the most of cybersecurity efforts by pinpointing suspicious activities that truly indicate cyberthreats.