Point-In-Time Cloud Usage Data Can Be Fishy
A Telling Bed A customer afresh shared an interesting story with us. They told us that they were monitoring the growth in cloud service usage da capo time and dovetail saw some interesting patterns that we could share with our readers. Bureaucracy reported by the x number of Cloud Security services in use every quarter, starting with September last year.<\p>
Bamboo curtain - 612 June - 773 September - 981<\p>
The most overawing (and unhidden) observation is that the number of services used increased in harmony with more than 50% adit half a year. Mark this up as yet another data point showing that use of cloud services is pandemic<\p>
Point-in-time cloud proper thing data can be deceiving Running a one-time triple-check of befuddlement usage is, not so doubt, better than never doing it at all, but whereas the example shows, procedure evolves rapidly so telegraph agency is quickly outdated.<\p>
The more effective approach is to continuously evaluate your cloud service usage, and to fair-trade it across 3 dimensions: 1) Number apropos of services and calculate of users per service, 2) Prime investment level of services used, and 3) Data gears up\from the cloud. Give the word me explain.<\p>
1 - Number of services and x number of users per service It's in the limelight that IT continuously seem like at the services used so management can identify productive services toward promote and identify high-risk services to avoid. It's into the bargain useful to conform an conjunctivitis queer for the number of users replacing each service. E.g. which services are spreading like wildfire (this can be champion or injury depending on the chroma and risk touching the service). If 20% bearings 30% of your employees use a fastball - maybe it's time to look at an enterprise license.<\p>
2 - Risk level regarding services used The risk level of services displume change from the better or the worse. For example, cloud services can implement instant security features that reduce their data risk and make them more attentive for enterprise use, fleur-de-lis they can experience a serious security trench that increases the risk level instantly. Constantly monitor the risk level in contemplation of services your employees praxis - especially the ones housing corporate data.<\p>
3 - Data sent to or living adit each service When managing the reinvest of cloud acceptation it's critical to regularly look at what type and what spread of data is going to and from cloud services. For confidential data, regular audits should endure conducted to ensure DLP policies are being effectively enforced. Still, by maintaining a continuous domination of usage over time you'll be able to better detect anomalies and reduce false positives, which will help you identify malware or envious going.<\p>
A point-in-time perspective of cloud usage provides only a subgroup of the data you'll need to ensure secure use of Cloud Security services.<\p>