Modern application environments are constantly changing as engineers continuously modify or create new data stores, microservices, virtual machines, and APIs. Businesses that don’t know what to protect face an order of magnitude higher probability of data breaches and privacy violations. This impacts revenue, market capitalization, and customer confidence.
Against this backdrop, security teams face the critical — yet seemingly impossible — quest for a reliable, up-to-date understanding of their infrastructure down to every asset and the data they process.
With the lack of a perfect solution, most businesses have defaulted to some combination of manual processes, plus data discovery and security tools in an attempt to solve the data observability problem.
On the process side there are two main options:
Manually reviewing every major change in a dynamic application environment is impractical.
For every 1,000 services, it takes over 1,500 employee hours and costs $120k per year.
As such, 80% of security teams admit to doing reviews selectively or irregularly, subsequently uncovering critical unknown unknowns.
The only way to achieve efficiency without compromising security is to gain automated, real-time observability into all assets and prioritize those that deal with sensitive data.
However, on the technology side, security teams are forced to use tools that have been designed for different purposes and fall short of these expectations:
Soveren helps identify and protect crown jewels in Kubernetes-based environments.
It automatically discovers sensitive data and assets, mapping the flows between them and immediately alerting you before risks become full-blown incidents.
Soveren integrates natively with Kubernetes, analyzing network traffic with zero impact on application latency or performance. It uses proprietary ML algorithms to discover and classify sensitive data within data flows in near real-time with 95% detection rate out of the box.
With Soveren, security teams no longer face a compromise between security and efficiency. You can achieve both 100% data observability to avoid blind spots and reduce resources spent on manual security guardrails.
Soveren builds and maintains an automated catalog of data, services, data stores, and API endpoints across your entire application environment and third-party integrations. It discovers and classifies sensitive data with high precision to identify sensitive data flows and top-priority assets.
It then combines asset-related context (connection between services, protocols, associated data stores, etc.) and data-related context (data types, sensitivity, etc.) to detect baseline changes and security risks — such as new assets accessing sensitive data, changes in external PII sharing, public availability of PII, or PCI data outside of the PCI DSS perimeter.
You can leverage out-of-the-box policies or set up custom ones to initiate workflows and real-time alerts in tools like Jira and Slack. Such alerts include security, privacy, and compliance changes, misconfigurations, and risks.
Unlike other DSPM solutions that provide partial, occasional snapshots of the data landscape by focusing only on static data inside data stores, Soveren provides complete, near real-time coverage by analyzing all services, data stores, API endpoints, third-party integrations and the connections between them.
This results in critical benefits for security teams compared to other DSPMs:
Soveren is designed to increase security and engineering efficiency by: