We at Netskope are excited about our partnership with TITUS and the many things we are doing together to help our customers safely enable cloud while also classifying and protecting sensitive data. One important thing we’ve done is collaborate on a best practice for classifying, e-discovering, and securing private, regulated, and other confidential business content en route to or at rest in cloud services with a recommended deployment.
We announced the Cloud DLP Reference Architecture in this press release and blog post last month, and while it is vendor neutral as an industry best practice, I want to call attention to the important role that TITUS plays in making it a reality for enterprises. First, let me summarize the architecture:
We started with the observation that enterprise data is moving to the cloud, accessed from everywhere on many different device types, and that, while organizations want to use their on-premises DLP and incident response solutions to deal with data protection in the cloud, they don’t want to back haul cloud traffic to those solutions. This architecture deals with that dilemma with the following six recommended steps:
- Derive context from cloud service transactions and set policy based on it before moving to the next stage of data identification
- Use a classification framework to identify or categorize sensitive content
- Apply data classification to discover sensitive content in the cloud
- Quarantine and redirect potentially sensitive content to an on-premises DLP solution
- Enforce policies and initiate incident response
- Ensure user accountability
TITUS is a key player in the data protection ecosystem because of its proactive approach and ease-of-use to the age-old problem of data classification. As a key player in the data protection ecosystem, TITUS plays a critical role in the classification framework and actual classification of data even before it hits the cloud. This helps solutions like Netskope – as well as other cloud services and their surrounding ecosystem – enforce policy based on data classes.
From there, enterprises can take advantage of the protections that TITUS’s partners offer, as well as pull a manageable subset of sensitive data on-premises in order to preserve and get the most out of their on-premises DLP and incident response solutions and processes.
Jamie Barnett is chief marketing officer for Netskope. Prior to Netskope, Jamie served in product management and marketing leadership roles at enterprise mobility software company Zenprise, security leader McAfee, and sensor software startup Blue Vector. Prior to that, she held a number of management positions at EMC, including co-founding the data management company’s security division and leading the charge for its acquisition of RSA Security. Jamie has a bachelor of science from the University of California, Berkeley and an MBA from Stanford University.