Today, we announced the release of Netskope Active Cloud DLP 2.0, the latest version of our DLP solution for finding sensitive content in transit or at rest within cloud apps. Fully integrated with our platform, it enables IT to incorporate cloud app and usage details like app, enterprise-readiness score per the Netskope Cloud Confidence Index™, user or group, type of data being shared, location, device, browser, and user activity into policies. This also enables precise identification of cloud app usage patterns to protect data in a targeted way.
This latest version includes a set of industry-first features for cloud content, and I wanted to take a moment to explain them to you in a bit more detail here.
- Fingerprinting: By scanning data repositories, Netskope Active Cloud DLP 2.0 allows organizations to catalog and create unique markers for sensitive files without defining complex rules with regular expressions. This enables efficient discovery of violations in either whole files or trace amounts of sensitive data in transit or at rest in the cloud. Coupled with our platform’s ability to target DLP violations to specific content or metadata or a combination of both, this increases the precision of results and requires less time when it comes to creating sensitive data policies.
- Exact Match: With Exact Match, users can augment policies already in place by providing an extra layer of protection. Exact Match minimizes misclassification by performing an extra pass of inspection for sensitive data like PII and PHI against customer specific sensitive data (e.g., a database of employee social security numbers). This feature, which we have automated, provides organizations a very precise match based on all data resident in an organization and protects against false positives.
- Enhanced workflows: Today’s release enables critical workflows that simplify DLP policy creation for administrators, complete incident response processes such as funneling suspected policy violations to on-premises DLP solutions via secure ICAP, and use our REST API to pull events into tools like security information and event management (SIEM) platforms. These workflows reinforce the Cloud DLP Reference Architecture, practiced by our most cloud-forward customers and partners.
When included with existing capabilities such as 3,000+ data identifiers, support for 500+ file types, custom regular expressions, proximity analysis and international support using double-byte characters these features make our DLP solution noise-cancelling, significantly reducing false positives and false negatives for high-fidelity data loss prevention in the cloud.
Customer reception to Netskope Active Cloud DLP 2.0 has been tremendous so far. I welcome the opportunity to discuss more about our DLP in greater detail, don’t hesitate to reach out!
About the Author
A highly-regarded researcher in deep packet inspection, security, and behavioral anomaly detection, Krishna Narayanaswamy leads Netskope’s data science and user behavior research as chief scientist. Krishna brings 24 years of experience, including founding Top Layer Networks and serving as a distinguished engineer at Juniper Networks. Coffee notes: With tastes as diverse as his patents, Krishna dabbles in French roast Arabica beans from all over the world.Follow on Twitter More Content by Krishna Narayanaswamy